Notable AI Articles of 2016: top 20-11

This year has seen articles about AI peaking in the news. Our review of the most popular in our newsletter reveals that business and medical fields are more and more interested in investing in new technologies. However, this is not without some concerns on privacy, and questions over who holds the power.

20. Shopify’s Kit – The AI Personal Marketing Assistant
October 30th | Podcast

Michael Perry used to sell cars before founding Kit, his third startup – an AI-powered Virtual Employee that works in marketing for small businesses and was acquired by Shopify in April 2016. In this episode, Perry speaks about how Kit and Shopify leverage AI on a daily basis, and how a “non-tech” person with no formal background in AI or data science can build a team for an AI project.

19. Google, Facebook, and Microsoft Are Remaking Themselves Around AI
November 21st | Business Impact of AI

Fei-Fei Li is a big deal in the world of AI. As the director of the Artificial Intelligence and Vision labs at Stanford University, she oversaw the creation of ImageNet, a vast database of images designed to accelerate the development of AI that can “see.” And, well, it worked, helping to drive the creation of deep learning systems that can recognize objects, animals, people, and even entire scenes in photos—technology that has become commonplace on the world’s biggest photo-sharing sites. Now, Fei-Fei will help run a brand new AI group inside Google, a move that reflects just how aggressively the world’s biggest tech companies are remaking themselves around this breed of AI.

18.Crossing the line – Staying on the right side of consumer privacy
November 2nd | Research

This is the trade-off at the heart of the data economy. But there are limits to this trade-off. People are increasingly aware that organizations are collecting, using, retaining and disclosing their information, including buying and selling it. And they are growing uneasy: When does ‘helpfully close’ cross the line to become ‘creepy and intrusive’?

17. What Artificial Intelligence Can and Can’t Do Right Now
November 9th | Business Impact of AI

Many executives ask what AI can do. They want to know how it will disrupt their industry and how they can use it to reinvent their own companies. But lately the media has sometimes painted an unrealistic picture of the powers of AI. (Perhaps soon it will take over the world!).
AI is already transforming web search, advertising, e-commerce, finance, logistics, media, and more. Understanding what it can do and how it fits into your strategy is the beginning, not the end, of that process.

16. Forrester Predicts Investment In Artificial Intelligence Will Grow 300% in 2017
November 1st | Stats that Impress

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Businesses that use artificial intelligence (AI), big data and the Internet of Things (IoT) technologies to uncover new business insights “will steal $1.2 trillion per annum from their less informed peers by 2020.” So says Forrester in a new report.
Forbes reports that they predict, across all businesses, there will be a greater than 300% increase in investment in artificial intelligence in 2017 compared with 2016. Through the use of cognitive interfaces into complex systems, advanced analytics, and machine learning technology, AI will provide business users access to powerful insights never before available to them. It will help, says Forrester, “drive faster business decisions in marketing, e-commerce, product management and other areas of the business by helping close the gap from insights to action.”

15. Google’s new website lets you play with its experimental AI projects
November 16th | Tools of the trade

Google is letting users peek into some of its most experimental artificial intelligence projects.
The company unveiled a new website Tuesday called A.I. Experiments that showcases Google’s artificial intelligence research through web apps that anyone can test out. The projects include a game that guesses what you’re drawing, a camera app that recognizes objects you put in front of it and a music app that plays “duets” with you.
Google says the goal of the site is to make some of its machine learning technology more accessible to people who are interested in artificial intelligence but don’t have the technical know-how to parse academic papers, where this type of research is typically published.

14. The Competitive Landscape for Machine Intelligence
November 2nd | Business Impact of AI

If this year’s landscape shows anything, it’s that the impact of machine intelligence is already here. Almost every industry is already being affected, from agriculture to transportation. Every employee can use machine intelligence to become more productive with tools that exist today. Companies have at their disposal, for the first time, the full set of building blocks to begin embedding machine intelligence in their businesses. And unlike with the internet, where latecomers often bested those who were first to market, the companies that get started immediately with machine intelligence could enjoy a lasting advantage.
So what should companies be doing to get started?

13. The three phases of medical AI trials
December 27th | Future of Health

After a blog post on how to critically read medical AI research, focused on the relevance of these experiments to clinical practice, it has become clear that we don’t have a simple way to discuss the idea that some studies are still a long way off use in the clinics, and others have progressed much closer to translation into practice. It makes sense for a framework of AI trials to mirror the structure of other clinical trials. The three phase concept is familiar, intuitive and would possibly go some distance in bridging the gap in understanding between medical and AI researchers. It might even make it easier to convince doctors and regulators that your new state of the art medical AI system is ready for patients.

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12. UK AI startups to watch: the hottest machine learning startups in the UK
October 21st | Deal

Four of the biggest AI startup acquisitions of the last five years have come from the UK, starting with Google’s purchase of Deep Mind in 2014 for a reported £400 million. Since then Apple has purchased Cambridge-based natural language processing specialists VocalIQ, Microsoft bought the machine learning powered keyboard SwiftKey in February and Twitter acquired Entrepreneur First alumni Magic Pony in June.

Here are some of the most interesting startups working in the area of AI in the UK today, whether that is machine learning, deep learning, neural nets or computer vision. Could the next Deep Mind be lurking in there?

11. Short Film Adam Curtis made for VICE about your life
October 15th | Ethics question for the day

The aim of the film “HyperNormalisation” is to bring power into focus, and show its true dimensions. It ranges from a giant computer high up in the mountains of North East America that manages and controls over 7% of the worlds total wealth, to the complex algorithms that constantly monitor every move and choice you make online, to modern scientific ideas about what the normal human being should be—in the their weight and in their feelings and moods.

 

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