April 28, 2017

Issue 204: CognitionX Data Science, AI and Machine Learning Briefing


$57B investments in Big Data in 2017. Google is fighting fake news. Dave, the chat bear will save you ££. http://cognitionx.com/news-briefing/

Amazon is on an AI-roll. They have recently been rapidly expanding their voice-recognition tech to a host of new applications, from call centres (Amazon Connect), to developers (Amazon Lex, conversational interfaces for your applications), and most recently to a new Alexa device, the
Echo Look
, a hands-free camera and style assistant.

Not sure what to make of this: is it cool or creepy?  Looking forward to hearing your thoughts.

Cool         Creepy


Tabitha UntiltheBotsTakeOver Goldstaub


The importance of storytelling with the rise of AI

Erik P.M. Vermeulen (professor and entrepreneur) argues that AI, big data, and robotics will have a far-reaching impact on individuals and businesses alike. He asks, “What then should individuals be doing in order to ensure that they remain relevant in an age of AI, big data, and automation?

In order to do so, Vermeulen argues that we must begin by eschewing the ‘culture of fear’ that has cropped up surrounding AI. He says that “in order to succeed, we need to become a smart link in this networked and digital world. And one of the best ways to do this is to develop our capacity to build and then project a compelling personal narrative about ourselves. By doing so, we can take control of our lives and reduce the fear that technology will render us irrelevant.”

Education and Advice We Rate

A knowledge graph-based semantic database for biomedical Sciences

In this article, Jo Stichbury at GraknLabs speaks with Antonio Messina, creator of BioGrakn about how GRAKN.AI was used to build a prototype of a bioinformatics semantic database. They discuss how BioGrakn takes advantage of the power of knowledge graphs and machine reasoning to solve problems in the domain of biomedical science. They also address the major issue of semantic integrity, that is, interpreting the real meaning of data derived from multiple sources or manipulated by various tools.

What’s next for GRAKN.AI? In the short term, further developments are expected, such as the integration of other publicly available biological resources, the use of the native GRAKN.AI migration tools for data migration procedures, and the deployment of a user-friendly web interface.

Stats that Impress

Big data investments to top $57B in 2017

Global spending on big data technology is expected to surpass $57 billion this year, and will increase by at least 10 percent per year through 2020.

That is the forecast of SNS Research, which just released its report “Big Data Market: 2017 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts.” The report presents an in-depth assessment of all aspects of big data, including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on big data analytics vendor market share and strategies. The report will cost you over £2K, but you can catch the highlights here.

Future of News

Google rewrites its powerful search rankings to bury fake news

Google isn’t planning to rid fake news from its search results — but it’s trying to purge it from the top. The Alphabet Inc. company is making a rare, sweeping change to the algorithm behind its powerful search engine to demote misleading, false and offensive articles online. Google is also setting new rules encouraging its “raters” — the 10,000-plus staff that assess search results — to flag web pages that host hoaxes, conspiracy theories and what the company calls “low-quality” content.

Additionally, Google is applying the same new parameters for its “auto-complete” function, which finishes search questions based on popularity. Some of the auto-completes that are deemed offensive (such as “are women evil”) will be eliminated. Google is adding a feature to allow searchers online to flag these instances with a feedback form.

Chat Bots are the New Black

Dave, the AI chat bear, wants to save you from expensive overdraft fees

Meet Dave: an AI dressed up in a bearsuit that’s just launched to save you from the evils of expensive overdraft fees. Hand Dave access to your checking account and the app’s machine learning algorithms will get busy crunching your spending data so the bear can warn you about pending transactions — like a monthly subscription for Netflix or your typical Saturday night Uber bill — which might push you into the red and incur an expensive bank penalty.

The US-only app (sorry fellow UK residents) predicts a user’s “7 Day Low”, aka the lowest it thinks your bank balance will drop in the next seven days, in order to encourage and support better money management. The ultimate aim being to help people avoid having to fall back on their overdraft as “an expensive form of credit”, says co-founder Jason Wilk, describing it as a sort of “weather forecast” for money management.

Deal of the Day

Verizon invests in self-driving vehicle startup Renovo Auto

Telecom giant Verizon invested in the autonomous vehicle startup Renovo Auto, a company founded in 2010 and best known for converting a vintage DeLorean into a self-driving car. The investment, $10 million in all, is one of several Verizon has made into “telematics” – the quickly growing field seeking to bridge the gap between automated communications software and traditional transportation.

Depending on how the market unfolds and what inevitable regulations will require as self-driving cars become more common, the sheer amount of data generated will grow exponentially. The Wall Street Journal reported (paywall) the typical autonomous vehicle generates 4 terabytes of data in 90 minutes, the average amount of time Americans spend in a car each day. That massive data output is the equivalent of 3,000 people’s Internet usage over the course of three years and would be very useful to Verizon.

Products We Love

This interactive map uses machine learning to arrange visually similar fonts

Typography enthusiasts likely already know how to identify fonts by name, but it’s always useful to explore visually similar fonts when you feel like changing up your options. Design consultant firm IDEO’s Font Map helps you do exactly that, with an interactive tool that lets you browse through fonts by clicking on them and seeing ones nearby that look similar, or by specifically searching for fonts by name.

Business Impact of AI

Some industries that machine learning will likely never touch

 Auren Hoffman, SafeGraph CEO, discussed on Quora this question and gave his thoughts on which industries will not be impacted by machine learning in the next 20 years.

His picks were: 1) nutrition, 2) predicting the weather, 3) finding out how the brain really works, and 4) predicting fads more than 3 years out. Curious to hear your thoughts.

Dates for Your Diary

Tuesday May 2Why Women in AI 

Thursday May 25:
Will robots replace HR? 

June 19-21: CogX: The AI Innovation Exchange

I’ve been making some changes based on Feedback. Would love to hear from more of you. Please do click to share your thoughts!





April 27, 2017

Issue 203: CognitionX Data Science, AI and Machine Learning Briefing


Amazon’s Echo Look. Virtual assistants are hot. AI transforming online customer experience. 3d-printed heart tissue. AI-written movie. Oracle gets an AI-boost.

We’re super excited to be launching our inaugural two-day AI event, CogX, tackling the “Impact of AI on Industry, Government and Society” in London on 20th to 21st June, in association with the Alan Turing Institute (more below and at the CogX website).

AI Innovation Exchange: The focus of CogX is not just the technology, but discussing and workshopping the impact of AI. The conference will feature over 100 speakers, including MC Srivas (Chief Data Architect of Uber) and Mike Hyde (Director of Data Science at Facebook) and will cover 12 industries and 6 technical domains over the 2 days – with keynotes, a panel of 6, and 60-120 minute breakout workshops for each topic. We expect 1,500 executives, researchers, entrepreneurs and investors, and we will publish a report on each topic within 30 days.

CogX Annual AI Awards: We will celebrate the winners of our annual AI Awards. There are 47 entry categories for 10 Awards. If you know of any people or companies that you think should apply, you can nominate them below or apply for yourself. Award applications close 5.00pm GMT, 5th May 2017.

Trade Expo: Running parallel to the 18 sessions, we will have 2 full days of trade expo with 50+ AI companies exhibiting – from startups to growth companies and enterprise businesses. If you would like to showcase your company at the trade expo, contact us at sponsorship@cognitionx.io.

Apply for an Award          Attend CogX


Tabitha UntiltheBotsTakeOver Goldstaub

Products We’re Not Sure About

Amazon’s new $200 Echo Look camera will judge your outfits

Amazon announced yesterday a new device for the Echo family: the Echo Look, a “style assistant” camera that helps catalog your outfits and rates your look based on “machine learning algorithms with advice from fashion specialists.” Imagine it as a smart mirror of sorts — you can talk to the Echo Look to take full-length photos or short videos to check out your outfit from seldom-seen angles.

The Echo Look first leaked as a “security camera” back in March (we fell for it), and the photo matches exactly with what Amazon has announced yesterday. The device comes with a built-in LED light, a microphone, and a base mount for you to attach it to the wall or leave it freestanding. It will also work with a companion app that has a Style Check feature to compare two outfits and rate
which is better.

Stats that Impress

Conversica survey on the utility of AI

Conversica’s proprietary research polled 1,000 Americans about the potential benefits of AI and how people see this emerging technology integrating with their work—and personal—lives. The Conversica survey reveals that over half of respondents (52 percent) would like to have a virtual assistant and feel that with an AI assistant helping at work, they would be more productive.

Respondents’ top two reasons for wanting an AI assistant are to offload repetitive tasks and to make time-consuming tasks easier. Rounding out the top five reasons Americans want to have an AI assistant are the elimination of boring tasks and the need to work after hours and the ability to delegate work that isn’t a good use of their skills.

Education and Advice We Rate

Writing travel blogs with deep learning

Is it possible to automatize travel blogging with artificial intelligence? It would be great if your AI assistant helped you keeping memories of your travels by automatically writing down stories about the places you visited. It turns out that this task could be easily tackled using deep learning because there is plenty of data available online.

Simone Romano trains a neural network to write a travel blog (at least to help write one). The results aren’t perfect, but he is off to a good start. Try it out for yourself, you can find the code here.

Video Killed the Radio Star

CognitionX Panel – “How AI is Transforming the Online Customer Experience”

Check out the video footage from our latest event, which features a discussion on the impact of AI in retail and the effect it will have on the online customer experience.


  • Jedidiah Francis: Head of Data Science, ASOS
  • Gabriel Hughes: Founder & CEO, Metageni
  • Sharad Khandelwal: Co-Founder & CEO, Sentisum
  • Justin Ibbett: Co-Founder, FocalData
  • Keesup Choe: CEO, Pi
  • Ivan Mazour – Founder & CEO, Ometria


  • Charlie Muirhead, CEO of CognitionX

Business Impact of AI

Ten ways HR tech leaders can make the most of artificial

Ji-A Min from software company Ideal highlights 10 HR tech leaders who believe AI will support, rather than replace, HR. To understand the impact of AI on HR, a survey of HR executives by IBM (which we reported on previously) found that 46% believe AI will transform their talent acquisition capability and 49% believe it will transform their payroll and benefits administration.

The respondents said that AI will 1) automate screening and reduce bias, 2) reduce errors and improve compliance, 3) augment corporate training, and more.

Future of Health

A 3D-printed patch could help you recover from a heart attack

Scientists have dreamed of easily patching up heart tissue in the wake of heart attacks, but there are always gotchas: for example, it’s no mean feat to replicate the complex structures of real tissue. However, there may be a solution in sight. Researchers have produced a 3D-printed cell patch that can heal scarred heart tissue.

After the team tested its patch on a mouse, the rodent’s heart saw a “significant increase” in functional capacity in the space of 4 weeks. Moreover, it eventually absorbed into the heart — the team didn’t have to perform follow-up operations to make sure it was a good fit.


Neural network startup Neurala receives patent for AI ‘whole brain’ system

Deep learning neural network software startup Neurala has announced it has received a patent for its “whole brain” system for autonomous robotic control. The Neurala Brain is a deep learning platform that allows artificial intelligence to function more like a human brain by integrating sight, sound, and other senses into one system in a rough emulation of how the brain works.

“Integrating advanced behaviors into a whole brain system for robots and drones represents the future of artificial intelligence,”  Neurala co-founder and Chief Executive Officer Massimiliano Versace said.

Future of Art

An AI wrote all of David Hasselhoff’s lines in this bizarre short film

Last year, director Oscar Sharp and AI researcher Ross Goodwin released the stunningly weird short film Sunspring. It was a sci-fi tale written entirely by an algorithm that eventually named itself Benjamin.

Now the two humans have teamed up with Benjamin again to create a follow-up movie, It’s No Game, about what happens when AI gets mixed up in an impending Hollywood writers’ strike.

Chat Bots are the New Black

Oracle adds AI, like chat bots, to their Customer Experience Cloud Suite

Oracle announced a series of new innovations within the Oracle Customer Experience (CX) Cloud Suite. By combining innovative new technologies such as chat bots and AI with enhanced mobile, video and messaging capabilities, the latest updates to Oracle CX Cloud Suite enable commerce, marketing, sales and service professionals to reduce IT complexity, provide innovative customer experiences and deliver tangible business results.

Innovative chat bot capabilities enable new customer experiences by asking and intelligently answering customer questions on both text and voice-driven platforms such as Facebook Messenger and Amazon Alexa. Marketing professionals can take advantage of chatbot capabilities for their cross-channel marketing in order to enhance larger, marketer-orchestrated customer journeys.

Dates for Your Diary

Tuesday May 2Why Women in AI 

Thursday May 25:
Will robots replace HR? 

June 19-21: CogX: The AI Innovation Exchange

I’ve been making some changes based on Feedback. Would love to hear from more of you. Please do click to share your thoughts!



April 26, 2017

Issue 202: CognitionX Data Science, AI and Machine Learning Briefing

Automation threatens men’s jobs more than women’s. Machine learning for preventing early death. Google fights Malaria with machine learning. Siri inventor predicts future in which we can upload our memories.

Last night we were at Pitch@The Palace – it was a real pleasure to be included amongst 43 brilliant startups all looking to change the world. You can check out the companies here and watch the whole event if you are keen to see those startups picked by The Duke of York to present. We obviously particularly loved the companies using AI:

  • BLINK is redefining communication between pedestrians and autonomous vehicles
  • CENTURY Tech is engaging learners with a personalised experience
  • SMARTIFY uses advanced image
    recognition technology and allows users to instantly access information about an artwork
  • Open Bionics turns children with limb differences into bionic superheroes


Tabitha UntiltheBotsTakeOver Goldstaub

Another Example of “Robots Taking Humans’ Jobs”

A third of UK jobs at risk from automation with men more likely to be replaced by robots than women

30% of jobs in Britain are under potential threat from breakthroughs in artificial intelligence a report has found. More than 10 million UK workers are at high risk of being replaced by robots within 15 years as the pace of automation increases.

Women are less at risk of losing their jobs than men because of their tendency to work in sectors that require a higher level of education and social skills, with men more likely to work in sectors such as manufacturing and
transportation. Thirty-five percent of male jobs were identified as being at high risk against twenty-six per cent of female jobs.

+ Looking forward to seeing you at “Why Women in AI” next Tuesday night to explore this issue along with many others.

Future of Transportation

Driverless cars trial set for UK motorways in 2019

The Driven group plans to try out a fleet of autonomous vehicles between London and Oxford by 2019. The cars will communicate with each other about any hazards and should operate with almost full autonomy – but will have a human on board as well.

Previous tests of driverless vehicles in the UK have mainly taken place at slow speeds and not on public roads. The Driven consortium is led by Oxbotica, which makes software for driverless vehicles.

Founder Prof Paul Newman, of Oxford University, said: “We’re moving from the singleton autonomous vehicle to fleets of autonomous vehicles – and what’s interesting is what data the vehicles share with one another, when, and why.”

Future of Health

‘Brain age’ can be predicted using MRI scans and machine learning to prevent early death

A team of neuroscientists led by researchers at Imperial College London has trained computers to use MRI data to provide a predicted brain age for people based on their volume of brain tissue.

At the heart of the approach is a technique first developed in 2010 that measures brain volume and uses machine learning to estimate the overall loss of grey and white matter – a hallmark of the ageing process in the brain. Dr James Cole, a research associate in the
Department of Medicine, took this basic technique and refined it by testing it on publicly available datasets of MRI scans of more than 2,000 healthy people’s brains, resulting in normalised maps which accurately predicted the person’s age.


How Google Is Using machine learning to fight malaria

One key tactic for fighting infectious diseases like malaria is to pinpoint exactly where they’re spreading in order to stop them in their tracks. This way, preventive measures like mosquito control and the deployment of treatment resources can be better targeted. Google, the Bill & Melinda Gates Foundation, and the Clinton Health Access Initiative (CHAI) have banded together
with academic and public health partners with this very goal in mind—and are harnessing machine learning through the Google Earth Engine to accomplish it.

“Every time someone is diagnosed with malaria in Swaziland and Zimbabwe, a team goes to the village where the infection occurred and collects a GPS point with the precise infection location,” epidemiology and biostatistics professor Hugh Sturrock (head of the project) said in an interview posted on Google’s blog.


The inventor of Siri says one day AI will be used to upload and access our memories

Tom Gruber, one of the inventors of Siri, shared a new idea at the TED 2017 conference today for using artificial intelligence to augment human memory.

“What if you could have a memory that was as good as computer memory and is about your life?” Gruber asked the audience. “What if you could remember every person you ever met? How to pronounce their name? Their family details? Their favourite sports? The last conversation you had with them?” Gruber said he thinks that using AI to catalog our experiences and to enhance our memory isn’t just a wild idea — it’s inevitable.

Ethics Questions for the Day

People are scared of artificial intelligence for all the wrong reasons (Quartz)

According to the Royal Society’s recent report on machine learning, people in Britain are more scared of the artificial intelligence embedded in household devices and self-driving cars than in systems used for predictive policing or diagnosing diseases, since the former could cause them physical harm.

Joon Ian Wong from Quartz writes that there are other bigger things to be worried about, such as when algorithms possess scale, their workings are kept secret, and have destructive effects. In addition, he cites a 2011 Stanford study
which points to the potentially far-reaching implications machine learning could have in healthcare.  This mismatch between perceived and potential risk is common with new technologies, said ​Alison Powell, an assistant professor at the London School of Economics who is studying the ethics of connected devices.

Business Impact of AI

A $28 billion hedge fund is pushing into machine learning

Man GLG, a UK hedge fund overseeing $28.8 billion of assets as of March 31, is embracing machine learning.

The group has created a new position titled “head of machine learning.” The new role will oversee development of Man GLG’s machine learning capabilities involving news and social media analysis, breaking market news, and visualising complex data. The firm has hired William Ferreira, formerly of Florin Court Capital, for the role.

Education and Advice We Rate

How to autoencode your Pokémon

We’ve seen autoencoders before, but here Niyas Mohammed teaches about them in a fun and more intuitive way, using Pokémon as an example. He reminds us that “an autoencoder is a special type of neural network that takes in something, and learns to represent it with reduced dimensions.” The results are pretty awesome.

Chat Bots, yadda yadda yadda

MasterCard introduces Facebook Messenger bot

MasterCard has launched its digital wallet service, Masterpass, onto the Facebook Messenger application and is utilizing shopping chatbots to allow customers to make purchases automatically through their phones.

To use the new service, MasterCard holders upload their card’s information to the Masterpass application. This
application connects to Facebook Messenger for when they’d like to make a purchase. The customer can then use the Messenger bot to search for restaurants they’d like to go to on, and the bot handles the payment in the same conversation. The restaurant then processes the order and has it ready when the customer arrives. Right now, SubwayThe Cheesecake Factory, and FreshDirect have this feature activated, though not at every location.

Dates for Your Diary

Tuesday May 2Why Women in AI 

Thursday May 25:
Will robots replace HR? 

June 19-21: CogX: The AI Innovation Exchange

I’ve been making some changes based on Feedback. Would love to hear from more of you. Please do click to share your thoughts!



April 25, 2017

Issue 201: CognitionX Data Science, AI and Machine Learning Briefing


Royal Society’s machine learning report. $60M funding for Babylon Health. Oracle AI focus. Amazon explores self-driving tech. Black Mirror strikes again. Deep learning books.

25% of the community surveyed last week felt that London was on its way to becoming the centre of AI. While the majority, 67% were less convinced, stating factors like lack of engineering talent, China’s dominance, lack of governmental support, less risk-loving investors, and of course Brexit. Maybe the newly released Royal Society 125-page report on machine learning can give some advice on how the UK could continue to make advances in this technology.


Tabitha UntiltheBotsTakeOver Goldstaub

Stats that Impress

Royal Society releases 125-page report on machine learning

What is the potential of machine learning over the next 5-10 years? And how can we develop this technology in a way that benefits everyone?

The Royal Society’s machine learning project (including CognitionX advisor Hermann Hauser​) has been investigating these questions and has just launched a report setting out the action needed to maintain the UK’s role in advancing this technology while ensuring careful stewardship of its development.  The report discusses the benefits and risks of using machine learning, as well as how to deal with data (such as from NHS).

Future of Health

Babylon Health raises further $60M to continue building out AI doctor app

Babylon Health, the UK startup that offers a digital healthcare app using a mixture of artificial intelligence (AI) and video and text consultations with doctors and specialists, has raised $60 million in new funding.

The company says it plans to use the new capital to continue building out its AI capabilities,
including offering diagnosis by AI (rather than a more simple triage functionality), which is pegged to roll out later this year.


Oracle plans internal ‘startup’ to outpace rivals’ innovation

Oracle Corp. is forming a unit it’s calling a startup within its U.S. operations to work on new technologies that may include virtual reality and artificial intelligence, trying to attract talent and outpace the innovation of rivals.

“The mission of the organization and these two centres is to build and engineer cutting-edge solutions for our customers around cloud
computing, big data analytics, mobile computing, internet of things, cybersecurity,” the company said. Additional areas of potential investment are artificial intelligence and augmented and virtual reality, Oracle added in the job posting. Sound familiar? Sounds a bit like Intel’s recent announcement about their creation of the Artificial Intelligence Products Group.

Something to Get Involved In

One Question conference (17 May 2017): can we really trust technology?

The One Question conference invites our loyal readers to their annual event in London’s Banking Hall which is addressing one question: ‘can we really trust technology”. The speaker list is epic, including Lindsay Holst (former digital director for VP Joe Biden) and Matthew Luhn, one of the Original story creators at Pixar.

They are offering loyal readers of the newsletter 15% off of the ticket price with the exclusive discount code ‘onequestioncx’. Book your ticket here.

Future of Transportation

An Amazon team is exploring the possibilities of autonomous delivery

Amazon has a team studying the ramifications of self-driving car technology on its business, although at present the online retailing giant does not have plans to build a fleet of autonomous delivery vehicles.

The team consists of a dozen employees and was formed more than a year ago, according to a Wall Street Journal report Monday citing individuals briefed on the matter. The group amounts to an in-house think tank charged with studying how a range of fast-paced developments in the self-driving field can be applied to its vast shipping needs. Last week Amazon hosted an event called the “Radical Transportation Salon.” The meeting was organized H.B. Siegel, whose responsibilities at Amazon include new ideas, and in part featured experts on autonomous technology.

Another Example of “Robots Taking Humans’ Jobs”

Robots want your tasks, not your jobs (or why the liberal arts still matter)

Scott Hartley (venture capitalist and author) argues in a recent blog post that although automation will certainly be taking some of our jobs, this is not what we should be concerned about. The solution to the
challenge of automation, according to him, is to double down on the liberal arts, since this is where students are exposed to broad ideas and challenged to grapple with the humanities, arts, and social and natural sciences in settings designed to tug on our minds, question our assumptions, and refine our curiosity.

He writes that “it isn’t that jobs are going away. Instead, jobs are inexorably changing as automation seeps ever deeper into society. We probably don’t need to worry about the existence of jobs per se, but rather about those who do not cultivate their ability to think broadly and continue refining the soft skills that are unique to being human.”

Chat Bots, yadda yadda yadda

Eternime wants you to live forever as a digital ghost

Startup Eternime, founded by MIT fellow Marius Ursache, seeks to offer comfort to people who have lost a loved one. Rather than ghosts or spirits, however, Urasche is using digital avatars and chatbots. He draws inspiration from science fiction, not spirit guides.

Give Eternime access to your social media profiles and the startup’s algorithms will scrape your posts
and interactions to build a profile. It will see the photo of the muffin you posted to Facebook and the article on retirement finances you shared on LinkedIn. The algorithms will study your memories and mannerisms. They’ll learn how to be “you.” We saw something just like this a couple of months ago from Quartz. As we said then, this is eerily similar to Black Mirror (and won’t be in production for a while).

Education and Advice We Rate

A roundup review of the latest deep learning books

Daniel Jeffries takes a look at a roundup of the best and worst books to start learning AI. He discusses which books are readable for the general reader (like Hands-On Learning with Scikit-Learn and Tensorflow) and which are more foreboding (like the classic Deep Learning by Ian Goodfellow). The list only includes 5 books, but it is still a good start.


Artificial intelligence survey finds UK public broadly optimistic

A recent survey by the polling firm Ipsos Mori highlights the nuanced views people hold about the relevant risks and benefits of AI. The findings were drawn from face-to-face interviews with 978 people chosen to be representative of the UK population, along with discussions at public meetings, and questions put to a community of 244 people online.

For example, the respondents thought positively about the police’s use of facial recognition software but were more hesitant about driverless cars.  “Society needs to think about these issues,” said Peter Donnelly, a statistician and geneticist at Oxford University. “We need an open and nuanced discussion to work out what we can do to help ameliorate some of these worries, and what we want to insist on.”

Dates for Your Diary

Tuesday May 2Why Women in AI 

Thursday May 25:
Will robots replace HR? 

June 19-21: CogX: The AI Innovation Exchange

I’ve been making some changes based on Feedback. Would love to hear from more of you. Please do click to share your thoughts!


April 24, 2017

Issue 200: CognitionX Data Science, AI and Machine Learning Briefing


Machine learning helps find Mexico’s missing. AI + insurance. Apple’s plan for self-driving cars. AI decision making. Conscious Cities Conference. Mercedes connects with Alexa.

We’ve been collating the daily news on AI for 200 days – spanning so many industries can be quite a feat so I was happy to read this weekend that one of the reasons Elon Musk is considered to be so smart is what’s called the “expert generalist advantage“. I hope we give you a quicker way to hone that advantage.

We’d love it if you could think of 5 people that would benefit from the daily digest and share this link with them so they can sign up.

Happy 200th issue,

Tabitha UntiltheBotsTakeOver Goldstaub

Future of Transportation

Apple documents offer first look at the tech giant’s self-driving-car technology

Apple has developed an “Automated System” for self-driving cars, and the company is planning to put staffers through a training program to operate the vehicles ahead of testing on California roads, according to documents obtained by Business Insider.

Apple obtained permits to test self-driving cars on California roads earlier this month. But the company has kept details of its car effort under wraps and has never really discussed any of its technology or business plans for self-driving cars. The documents obtained by Business Insider include a walk-through of the “Development Platform Specific Training” as well as details about an autonomous-vehicle system called the “Apple Automated System.”

Business Impact of AI

Insurance customers need to get used to talking to machines

Frustrated with automated answering machines before you finally get to speak with a customer service representative? When it comes to insurance, you’ll just as likely end up dealing with a robot as a human within three years, according to a survey by Accenture Plc.

About two-thirds of insurers already use AI “virtual assistants,” the consulting firm said in the report, which was published last week. Of the executives who
took part in the survey, 85 percent said they plan to invest “significantly” in AI in the next three years.


Machine learning is being used to uncover the mass graves of Mexico’s missing

In March of this year, a massive grave was uncovered buried beneath the soil of the coastal Mexican state of Veracruz. The grave made national headlines because it contained more than 240 skulls and corpses, the remains of disappeared people.

Now, a team of multi-country researchers, data
scientists, and statisticians is using machine learning to predict which counties in Mexico are most likely to have hidden graves. The team is composed of three separate groups: the Programa de Derechos Humanos at the Ibero-American University in Mexico City; data-focused non-profit Data Cívica, also based in Mexico City; and the Human Rights Data Analysis Group (HRDAG), a San Francisco-based organization that applies scientific analysis to human rights violations (first two links in Spanish).


Element Data raises $1.7M to power platform that helps people make decisions using AI

Element Data, a Seattle startup that uses machine learning to help people and organizations make big decisions, just closed a $1.7 million seed round led by investor Archibald Cox Jr.

Element Data will use the cash to grow its engineering
team and build out its product — a platform that uses artificial intelligence to inform decisions like what school to choose or which candidate to hire. Element Data’s Decision Insights Computing Engine (DICE) considers the different options a user provides and analyzes the different criteria, biases, and conditions behind the various decisions a person could make.

Something to Get Involved In

Conscious Cities Conference in partnership with Future Cities Catapult (Wednesday, May 3, 2017)

The Cube London would like to invite you to their 2nd Conscious Cities Conference in partnership with Future Cities Catapult in London. This year they will disseminate and unify the different industries and elements needed to build a Conscious City, that is responsive to human activity and needs. The conference will bridge neuroscience, architecture, and technology. Get your tickets here (£165 for a full-day pass).

Products We Love

Mercedes-Benz is connecting the Amazon Echo and Google Home to all its new cars

Mercedes-Benz announced today that all of its 2016 and 2017 vehicles in the US can now connect with both Amazon and Google’s digital voice assistants.

Starting today, Mercedes owners can instruct their Google Home or Amazon Echo to remotely start or lock their vehicles, as well as send addresses to their in-car navigation system. But a promo video by Mercedes shows a much more frightening use-case: using these
digital voice assistants to compensate for incredibly stupid behavior, like leaving the house with both the iron and stovetops on at full blast.

Education and Advice We Rate

How to build a simple song recommender system

There are 3 types of recommendation system: content-based, collaborative and popularity. In this exercise, you will learn how to build a music recommendation system using real data.

2 models are discussed in this tutorial. The first model is a popularity-based recommender, meaning it is not personalised for any user and will output the same list of recommended songs. The second model is personalized recommender leveraging the item similarity based collaborative filtering model (ie the
co-occurrence matrix) to find a personalised list of song that a user might like based on what other similar users have liked.

Dates for Your Diary

Tuesday May 2Why Women in AI 

Thursday May 25:
Will robots replace HR? 

June 19-21: CogX: The AI Innovation Exchange

April 21, 2017

Issue 199: CognitionX Data Science, AI and Machine Learning Briefing


DeepMind’s Demis Hassabis. Free deep learning courses. Microsoft launches IoT services. Tarzan the robot. AI + drugs. Facebook’s dream of a neural lace.

Yesterday, we attended another fascinating meeting of the AI All Party Parliamentary Group (APPG AI). The session covered the topic of ‘the future of work’. The sentiment that came out was generally optimistic about how AI will impact jobs, albeit with a realisation that the types of jobs will be largely different and that there must be (re)education to prepare us for this shift.

Richard Susskind (author of The Future of Professions) said that ”in the 20s people will have a choice: to compete with the machines or build the machines.”

I think that this quote from Richard aptly sums it all up: “2020 will be the decade of redeployment, not unemployment.”

Happy Friday,

Tabitha UntiltheBotsTakeOver Goldstaub


The mind in the machine: Demis Hassabis on AI

Today, FT (paywall) published a fascinating piece by Demis Hassabis (co-founder of DeepMind and recently named one of the TIME 100) on AI. He speaks about the technological progress, the meaning and potential of AI, and DeepMind.

I particularly liked one quote: “As we discover more about the learning process itself and compare it to the human brain, we could one day attain a better understanding of what makes us unique, including shedding light on such enduring mysteries of the mind as dreaming, creativity and perhaps
one day even consciousness.”

Education and Advice We Rate

Learn deep learning with these 10 free online courses

David Venturi, who is creating his own data science MA program, put together a useful list of 10 free online courses on deep learning. He found 24 online courses on Class Central, 10 of them being free.

The courses range from those which are geared towards beginners, those which are geared towards experts,  and those which are specialised (such as one focusing on Natural Language Processing, which was recently put up on Youtube).

Business Impact of AI

Microsoft launches new IoT services for the enterprise

Microsoft launched IoT Central yesterday, a new Internet of Things (IoT) service that gives enterprises a fully managed solution for setting up their IoT deployments without needing the in-house expertise necessary for deploying a cloud-based IoT solution from scratch. It’s basically IoT-as-a-Service.

In addition, the company is bringing its Azure Stream Analytics to edge devices, making it easier to provision new IoT devices, and it’s launching a completely new analytics service for time series data.

Video Killed the Radio Star

Meet Tarzan the Robot

Jonathan Rogers and Ai-Ping Hu will use the field of robotics to create a field of robots. Their team is building machines that will hang over the crops, suspended by parallel guy-wires. The robots, fitted with cameras, will swing like gibbons along the cables, taking picture after picture of each plant. Down each row, then side to side, and back again, from one wire to another.

With Georgia Tech robots dangling over the field, UGA researchers will be able to get more frequent measurements and to avoid some laborious field work. Someday, they may be able to stay at their laptops miles away, in the air conditioning, scanning a steady stream of images and data sent back from the robots.

Future of Health

AI could build new drugs faster than any human team

Atomwise, a San Francisco-based startup and Y Combinator alum, has built a system it calls AtomNet, which attempts to generate potential drugs for diseases like Ebola and multiple sclerosis. The academic labs will receive 72 different drugs that the neural network has found to have the highest probability of interacting with the disease, based on the molecular data it’s seen.

Atomwise’s system only generates potential drugs—the compounds created by the neural network aren’t guaranteed to be safe, and need to go through the same drug trials and safety checks as anything else on the market. The company believes that the speed at which it can generate trial-ready drugs based on previous safe molecular interactions is what sets it apart.


Facebook’s plan to tap into our brains, fact-checked by a neuroscientist

As Recode reports, the company’s secretive R&D lab — known as Building 8 — is creating a “‘brain-computer speech-to-text interface,’ technology that’s supposed to translate your thoughts directly from your brain to a computer screen without any need for speech or fingertips.”

Brian Resnick from Vox spoke with Rebecca Saxe, a neuroscientist at MIT argues that the EEGs we have are not sensitive enough to pick individual words out of your brain and turn them into words on a screen. However, it is feasible to use current tech to build keyboards and mouses that could be controlled with the mind, which could be very helpful for those with paralysis or disabilities that make typing hard or impossible.

If you’re interested in the idea of a brain-computer interface, I would highly recommend this blogpost from Tim Urban.

Future of Transportation

Cadillac CT6 uses head-tracking to know when the driver’s distracted

Dubbed the “Driver Attention System,” Cadillac’s solution to the problem of returning control to the human driver in cases where the computers can no longer handle a task uses an infrared camera to track a driver’s head position while Super Cruise is active.

Spend too long looking away from the road ahead, and the car will alert you that it’s time to focus on the road. Alerts happen through a series of escalating alerts on the main instrument display, an LED bar set into the
steering wheel, and even haptic rumbles from your seat. And since it’s checking (and asking) for the driver to keep their eyes on the road, this system can’t be spoofed like those Tesla ones. Check out the other cool features here.

Podcasts We Love

Scaling machine learning

In this episode of the Data Show, Ben Lorica spoke with
Reza Zadeh, adjunct professor at Stanford University, co-organizer of ScaledML, and co-founder of Matroid, a startup focused on commercial applications of deep learning and computer vision.

They speak about the rise of deep learning, hardware/software interfaces for machine learning, and the many commercial applications of computer vision.

Dates for Your Diary

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April 20, 2017

Issue 198: CognitionX Data Science, AI and Machine Learning Briefing


London as world’s AI capital. Amazon Lex. FB drones provide wifi to disaster areas. Baidu + self-driving cars. IBM Watson as art museum guide.

A couple of months ago, Yoshua Bengio said that Canada is at the forefront of the AI revolution. When I asked the community about this statement, I got quite a varied response, with some agreeing with him, others voting for the US or the UK, and a handful for Israel for which country is at the forefront of the AI revolution.

A month ago, we saw how Eze Vidra believes that it might be more fruitful to speak about
emerging machine intelligence clusters as opposed to choosing one place as the crowned champion of AI.

Last week, NetGuru argued that London is on its way to becoming the ‘world’s AI capital’, due to its hot AI startups, the amount of investment in these startups (as well as M&As), the high level of AI academic research, and more. Do you think that London is set to become the world’s AI capital? Looking forward to hearing your thoughts.

Yes          No      
It Depends


Tabitha UntiltheBotsTakeOver Goldstaub

Chat Bots, yadda yadda yadda

Introducing Amazon Lex

AWS said it is opening up its Amazon Lex AI service to all customers so they can build applications.

Amazon Lex uses the same machine learning technology as Amazon Alexa. Amazon Lex features algorithms that enable applications that can have conversations and process voice and text. For AWS, opening up Lex to its broad customer base could give it scale. Another key item to note about Amazon Lex is that AWS is offering the AI as a managed service. As a result, more enterprises are likely to be able to try Lex and build applications.


Facebook builds a helicopter-drone
to provide wireless internet to disaster areas

The company announced on Wednesday what it’s calling “Tether-tenna technology,” essentially a small, unmanned helicopter that will provide Wi-Fi access to crisis zones when existing Wi-Fi towers are down or damaged.

Yael Maguire, head of Facebook’s connectivity lab, estimates that one helicopter could connect “in the neighborhood of thousands to tens of thousands of people.”  The helicopter-drone, which is roughly the size of a Volkswagen Beetle, is literally tethered to a fiber line and a power source on the ground, which enables the chopper to stay airborne for days at a time. (Facebook says its goal is to keep it up for weeks or months.)

Future of Transportation

Baidu announces Project Apollo, opening up its autonomous driving platform

Baidu has announced a new project named “Apollo” which will provide an open, complete and reliable software platform for its partners in the automotive and autonomous driving industry to develop their own autonomous driving systems with reference vehicles and hardware platform.

“AI has great potential to drive social development, and one of AI’s biggest opportunities is intelligent vehicles,” said Qi Lu, Group President and Chief Operating Officer at Baidu. The company will also initiate a partnership alliance, working with partners who will provide the best and most compatible vehicles, sensors, and other components.

Business Impact of AI

Microsoft’s SQL Server is getting an AI boost

Microsoft says it’s building AI capabilities directly into SQL Server 2017, aiming to simplify and speed up machine learning processes that would normally take place outside the database.

The AI capabilities will be integrated starting with a new Community Technology Preview of SQL Server 2017, which the company describes as a production-quality release. Microsoft describes the integration as a first for relational database management systems.

Products We Love

This AI turns horses into zebras – and winter into summer

Jun-Yan Zhu and Taesung Park, the researchers behind the AI model powering the doodle-to-cat-monster tool, are back with another impressive image manipulation implementation that lets you turn horses into zebras, apples into oranges, winters into summers and so much more.

In their paper, they lay out a new model that essentially allows you to transform images in a ‘cycle consistent’ way, meaning that any changes to the original image are expected to ultimately remain fully
reversible. Check out the code here.

Future of Art

IBM Watson’s new job as art museum guide

Almost three-quarters of Brazilians have never been inside a museum, according to a 2010 study from the Brazilian Institute of Economic Research. There are probably many reasons for this, but among them is the feeling that art can seem inaccessible unless you’ve studied it.

So, how do you get art to speak to you specifically? By getting it to speak, period.

For the launch of IBM Watson in Brazil, Ogilvy Brazil created an interactive guide that lets people have conversations with work housed at the Pinacoteca de São Paulo Museum. “The Voice of Art” replaces pre-recorded audio guides with a Watson-powered program that gleans data from books, old
newspapers, recent articles, biographies, interviews and the internet.

Future of Health

AI is helping detect tuberculosis in remote areas

Researchers are training artificial intelligence to identify tuberculosis on chest X-rays, an initiative that could help screening and evaluation efforts in TB-prevalent areas lacking access to radiologists.

For the study, Dr Paras Lakhani and his colleague, Dr Baskaran Sundaram, obtained 1,007 X-rays of patients with and without active TB. The cases were used to train two models – AlexNet and GoogLeNet – which learned from TB-positive and TB-negative X-rays. The models’ accuracy was tested on 150 cases.

Dates for Your Diary

I’ve been making some changes based on Feedback. Would love to hear from more of you. Please do click to share your thoughts!




April 20, 2017

Issue 197: CognitionX Data Science, AI and Machine Learning Briefing




First Corporate AI wave doomed. Robotic automation in the Nordics. FB Caffe2. Cloud vendors dominate. AI ethical Concerns. Uber problems.

What will you be doing on a Wednesday April 19th 2025? What will be the future of work?

On the 20th of June, we will be giving evidence at the All-Party Parliamentary Group on Artificial Intelligence (APPG AI) Future of the Office. We are there to represent you so please give us your thoughts by filling in this 2 minute form here.


Tabitha UntiltheBotsTakeOver Goldstaub

Business Impact of AI

The First Wave of Corporate AI Is Doomed to Fail

With the carrot of AI we can’t overlook the stick of failure for early adopters. Just like the rise of online and cloud many large companies are setting up AI divisions but to succeed, it may be necessary to shift the entire portfolio to an AI-first business. Embracing wholesale change, not the one big win, will pay the total dividends AI offers.

Audio for your journey home

A Conversation with the “closest thing Silicon Valley has to a conscience” : What is Technology Doing to Us?

Tristan Harris has been called the “closest thing Silicon Valley has to a conscience” and in this discussion he delves into the persuasion economy and how it is an awesome force that shapes our lives by exploiting the gaps in our human architecture. Can we say technology is agnostic any longer? This is essential listening.

Impact of the Economy

Robotic automation takes off in the Nordics

Automation is among the top priorities for Nordic
IT decision makers in 2017, with 37% of Nordic-based survey respondents planning to implement an IT automation initiative during the year. A case example is Norwegian bank Sparebank 1 SR-Bank, which is introducing an AI-powered virtual customer service agent called James. The bank said James will be able to do most of the work of its approximately 40 customer service centre employees, changing their job description dramatically.


Facebook open-sources Caffe2, a new deep learning framework

At its F8 developer conference in San Jose, Facebook announced the launch of Caffe2, a new open source framework for deep learning. Caffe2 differs from the PyTorch framework Facebook have contributed to in that it is focused towards “industrial strength” applications and use for mobile.

Tools of the Trade

Will cloud vendors dominate machine learning? Early signs point to yes

Will the same cloud companies that are displacing enterprise data centers and taking over big data deployments be the most likely winners in the machine learning war? Early signs suggest the answer is ‘yes.’ Because most enterprise data sits inside corporate data centers, not in the cloud, it’s reasonable to assume that vendors like Cloudera and Hortonworks will have a big part to play in the future of machine learning and

Ethics Question for the Day

Emerging Ethical Concerns In the Age of Artificial Intelligence

Science fiction novels have long delighted readers by grappling with futuristic challenges like the possibility of artificial intelligence so difficult to distinguish from human beings that people naturally ask, “should these sophisticated computer programs be considered human? Should ‘they’ be granted human rights?”

Products we love

Deep Learning on the New Ubuntu-Based Data Science Virtual Machine for Linux

Deep learning has received attention recently for its ability to create machine learning models with very high accuracy. It’s especially popular when the availability of massive datasets with rich information make it feasible to train ever-larger neural networks.

Microsoft’s Data Science Virtual Machine (DSVM) is a family of VM images published on the Azure marketplace with a broad choice of machine learning and data science tools.

Dinner Talk

Uber’s problems deepen as executive behind self-driving cars joins exodus

Sherif Markaby resigned from his position as Uber’s vice president of global vehicle programmes a year after he joined the company from Ford, where he had spent 25 years and was director of global electronics and engineering.

Dates for Your Diary

I’ve been making some changes based on Feedback. Would love to hear from more of you. Please do click to share your thoughts!

April 20, 2017

Issue 196: CognitionX Data Science, AI and Machine Learning Briefing


Robot Future. AI Transparency. Neural Nets. Trusting AI. AI Key to Security. #BOTUS.

In an interview with the Guardian, Jurgen Schmidhuber, the president and co-founder of NNAISENSE which aims at building the first practical general purpose AI, shares his optimistic vision on the robot future. Jurgen believes 2050 is the year machine intelligence will not just match that of humans, but outstrip it. He thinks AI will eventually colonise asteroid belts across the Milky Way with self-replicating robot factories.

What do you think you will be doing in 2050? What do you think about the future of work? On the 20th of June, we will be giving evidence at the All-Party Parliamentary Group on Artificial Intelligence (APPG AI) Future of the Office: the next industrial revolution session. We are there to represent you so please give us
your thoughts in this form here.


Tabitha UntiltheBotsTakeOver Goldstaub

Dinner Talk

Jürgen Schmidhuber on the robot future

The German computer scientist says artificial intelligence will surpass humans’ in 2050, enabling robots to have fun, fall in love and colonise the galaxy. “Very soon, the smartest and most important decision makers might not be human,” he says, “We are on the verge not of another industrial revolution, but a new form of life, more like the big bang.”

Ethics Question for the Day

Only human intelligence can solve the AI challenge

Transparency. Black Box. Open Source. AI is powerful and agnostic and John Thornhill argues that we need people, independent people openly discussing the problems AI can cause. As Mireille Hildebrandt, professor of law and technology at the Free University of Brussels, says one of the dangers of AI is that we become overly reliant on “mindless minds” that we do not fully comprehend.

Education, Training and Advice We Rate 

Neural networks explained

Neural nets are a means of doing machine learning, in which a computer learns to perform some task by analyzing training examples. This articles describes the history of our relationship with neural networks and their current state and application in the artificial intelligence explosion.

Article to share with your less data savy friends

To Get Consumers to Trust AI, Show Them Its Benefits

Trust is easily created and quickly destroyed. In this piece the potential pitfalls and “must-haves” when it comes to an AI product that builds trust are analysed through a range of case studies. In particular stakeholder alignment, transparency about the development process, and gradual introduction of the technology are crucial strategies for fostering trust.

Business Impact of AI

Cyber threats are growing more serious, and artificial intelligence could be the key to security

A recent report from cybersecurity company FireEye
showed organizations on average took 99 days in 2016 to realize they had been breached. Experts point out the cyber-threat landscape has drastically changed and that criminals are now using more advanced technologies to launch sophisticated attacks. Investment in machine learning and artificial intelligence is crucial because machines can respond more quickly to the way attacks are mutating.

What you might have missed

Self-taught artificial intelligence beats doctors at predicting heart attacks

Scientists at the University of Nottingham have shown that artificial intelligence can predict heart attacks even better than standard medical guidelines. If this technology were to be implemented, the new method could save thousands or even millions of lives a year.

Audio for your Journey Home

Bot of the US – BOTUS

Bots are cheaper than stock-picking humans. They’re less emotional and more disciplined. They can process more information at once. They are doing things like scanning social media for consumer trends and counting the number of cars parked in Wal-Mart parking lots, then using that to trade. Planet Money built their own stock trading bot to trade automatically by monitoring Donald Trump’s tweets on companies. Follow BOTUS on

Dates for Your Diary

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April 20, 2017

Issue 195: CognitionX Data Science, AI and Machine Learning Briefing


Winning in a potential “post work” world.

AI – your co-worker or competitor? What does the future of work look like in 2025?

Joe Lonsdale, Founder of Palantir and Founding partner at 8VC proposed 12 jobs of the future in this morning’s Wired. Some like Yuval Noah Harari author of Sapiens believes AI will create a ‘useless class’ of humans.

On the 20th of June we will be giving evidence at the All-Party Parliamentary Group on Artificial Intelligence (APPG AI) Future of the Office: the next industrial revolution session. We are there to
represent you so please give us your thoughts in this form here.


Tabitha UntiltheBotsTakeOver Goldstaub

Business Impact of AI

Day 1 is forever, Day 2 is death.

Jeff Bezos’ annual open letter to Amazon shareholders garners widespread interest every year for good reason. Insightful and thought-provoking, the business mogul who spotted how the internet could change retail talks this year about machine learning and AI. “Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, and
much more”

Something to get Involved in

Rockstart Accelerator Program Launches an AI Focused Track

Accelerating startups since 2012 the Dutch based program
has launched an AI specific track they call “Europe’s First AI Accelerator”. Backed by Amazon, Google and IBM Rockstart has some impressive stats across the three pre-existing verticals with 75% of businesses that pass through the accelerator receiving further funding. Applications can be submitted from May so get writing.


How Stronger Privacy Laws Could Save Advertising from Itself

There has been a tectonic funnelling of advertising dollars to Facebook and Google because they each collect an enormous amount of user data and can theoretically serve ads to targeted audiences. Last year the EU passed a sweeping set of data privacy rules called General Data Protection Regulation (GDPR). The new rules will require all companies serving EU residents to get explicit permission from those users for ad-targeting
purposes. Companies that violate the rules could end up paying out as much as 4% of their worldwide revenue.

+ Hear more from experts about data privacy concerns at CogX: The Innovation Exchange

Article to share with your less data savy friends

You’ll Be Working With Robots Sooner Than You Think

Kriti Sharma, VP of Bots & AI for Sage Group gives her view on the most urgent issues in AI. We need to design robots and AI with a complementary compliance framework to govern their interactions with humans in the workplace, including a code of conduct for robots that mirrors the professional standards we expect from people.

Before we think about taxing robots and AI, we need to get the basics of the self-learning technology right, and develop comprehensive ethical standards that hold up for the long term.

Deal of the day

Accelerator program Zeroth wants to find Asia’s top AI and machine learning startups

Zeroth is accelerator program which has just opened applications for its second programme (in Tokyo) that is out to fix the lack of talent, and investment options, for AI in Asia. The accelerator, which is Asia’s first dedicated to AI & machine learning, will take 20 companies per batch and offer up to $120,000 in optional funding.

Dinner Talk

The Dark Secret at the Heart of AI

You can’t just look inside a deep neural network to see how it works. A network’s reasoning is embedded in the behavior of thousands of simulated neurons, arranged into dozens or even hundreds of intricately interconnected layers. How should we take decisions when we don’t fully understand the decision making process?

Pure unadulterated research

New machine learning models can detect hate speech, violence from texts

The words we use and our writing styles can reveal information about our preferences, thoughts, emotions and behaviours. Using this information, a new study from the University of Eastern Finland has developed machine learning models that can detect antisocial behaviours, such as hate speech and indications of violence, from texts.

Another example of “robots taking human’s jobs”

AI and robots will take our jobs – but better ones will emerge for us

The fear that robots will soon take your jobs has a grain of truth to it – however, the future paves the way for more jobs for humans, based in technological innovation. Jon Lonsdale, Partner at
8VC presents 12 Jobs of the Future and delves deep into the fears that many have when discussing the impact of AI, the future of work and society.

Data Visualisation

Magic AI: These are the optical illusions that trick, fool, and flummox computers

Want a pair of glasses which can trick an AI into thinking you’re the Pope or anyone you like? Last year, researchers were able to fool a commercial facial recognition system by creating a sticker overlay with a hallucinogenic print which was stuck onto the frames of the specs. This article delves deeper into adversarial machine learning alongside some funny results from their research.

Dates for Your Diary

I’ve been making some changes based on Feedback. Would love to hear from more of you. Please do click to share your thoughts!

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