ZIpRecruiter + AI. Racial bias in facial recognition software. UK stats on the connected home. http://cognitionx.com/news-briefing/.
Last week, Amazon Web Services had their mega event, re:Invent which was chock full of AI. Just when we thought we could put our pen down, they made another AI announcement…it’s no wonder some reporters referred to it as a ‘deluge’.
DeepLens: functions similarly to Google’s recently
announced Clips camera, utilising AI to grab better shots, only Amazon’s version is targeted specifically at developers
Translate: a way for businesses to expand products and services using its text translation tool; likely based on technology Amazon acquired two years ago with its purchase of Safaba
Transcribe: lets you turns an audio file stored on your Amazon S3 account into grammatically correct text
Comprehend: NLP service that uses machine learning to find insights and relationships in text
Rekognition Video: developers can now automatically get information about the objects in a video, the scenes they are set in and the activities that are happening in them
SageMaker: makes it easier to build and deploy machine learning models
We are particularly interested in Alexa for Business, which would
bring voice assistants to the workplace. Alexa would be able to help employees launch conference calls, organise room bookings, wrangle with their expenses, and more.
What place do you think a voice assistant has in an office environment?
ZipRecruiter had been using AI technologies to identify and match candidates and employers. Now, CEO Ian Siegel has set his sight on a new goal: to make the entire recruitment process shorter, preferably to under one day.
Siegel told Calcalist he wants to make recruiting employees a “real-time activity,” in which employers publish an ad and immediately begin interacting with potential candidates. “We are really close,” he said. “People do not understand what a paradigm shift we are on the cusp of here. because if you could literally sit down and start engaging with high-quality candidates, you would decide to recruit anyone to hire that day or maybe the next day.”
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Experts such as Joy Buolamwini, a researcher at the MIT Media Lab, think that facial recognition software has problems recognising black faces because its algorithms are usually written by white engineers who dominate the technology sector. These engineers build on pre-existing code libraries, typically written by other white engineers.
As the coder constructs the algorithms, they focus on facial features that may be more visible in one race, but not another. These considerations can stem from previous research on facial recognition techniques and practices, which may have its own biases, or the engineer’s own experiences and understanding. The code that results is geared to focus on white faces, and mostly tested on white subjects.
techUK launched its inaugural annual State of the Connected Home report, looking at current consumer understanding of the connected home market. Developed in partnership with market
research firm, GfK, it explores the appeal and ownership of different categories of devices, and makes recommendations to encourage further adoption in the UK.
Individual device ownership was high (80%), however, many respondents did not own multiple devices as part of a connected home ecosystem (only 35% owned more than three).
Awareness was high but in-depth knowledge was lacking – 77% of respondents were ‘aware’ of the connected home, although only
10% ‘knew a lot’ about it.
During IGNITION on Thursday, Steve Kovach interviewed Toni Reid, Amazon’s vice president in charge of its Alexa and Echo businesses. Reid said Amazon’s goal is to keep Alexa as open as possible to a broad range of users and uses.
“Our vision is for Alexa to be everywhere customers want her to be,” Reid told him. “That will end up in places where we will never build those devices … For us it’s important that the Alexa voice service itself has that distribution.”
“At Jim Beam, we’re in the business of evolving the way people drink delicious bourbon,” Noe said in a statement. “For decades, we produced unique limited-edition decanters that are now collectors’ items. And now, we’re introducing a smart decanter that lets fans enjoy their bourbon on demand with friends and family.”
Iris.ai, founded 2015, is an AI tool which helps researchers in industry and academia to find the scientific knowledge they need. It semi-automates the often tedious process of finding relevant
Founded at Singularity University in 2015, Iris.ai now has home bases in Oslo, Berlin, and Sofia, and its team of 12 people is growing fast.
Published in the Journal of Sexual and Relationship Therapy, a new report from ethics researchers at the University of Manitoba in Winnipeg, Canada, goes as far as to say that some will prefer to have loving relationships with sex robots instead of humans.
“It is safe to say the era of immersive virtual sex has arrived,” said Dr Neil Mccarthur, Director of the university’s centre for professional and applied ethics. “As these technologies advance, their adoption will grow and many people will come to identify themselves as ‘digisexuals’ – people whose primary sexual identity comes through the use of technology.
Russian software giant Yandex took its prototype self-driving taxi out for its first real-world snow test last weekend. It says the Prius model prototypes clocked up 300km in total during the test. It’s put out the above video demoing the two cars in action.
“We have been working to prepare algorithms for winter ‘at garage’ for a while, so last weekend tests in real world was just the first time we got all confirmations,” Dmitry Polishchuk, head of Yandex.Taxi’s self-driving project, told TechCrunch.
John Dizard (FT) argues that the finance sector’s under-investment in R&D could have dire consequences.
Financiers should consider what has happened to car manufacturers. They are at risk of becoming mere component manufacturers for the tech companies that could dominate automated driving and vehicle sharing. Now some of the software and hardware developers who have worked on automated driving have turned to the financial markets. That will lead to serious competition for banks and investment managers. So far, their response is spotty. Top management seems to think that some strategic investments in fintech start-ups and intensively PowerPointed consultancy reports will do the trick.