She reminded us that in 1973 the Government made a statement that they wouldn’t fund AI and now, 44 years later, her recommendations, along with those of Jérôme Pesenti, DCMS and BEIS, in the AI review were accepted and funding was announced over the last 10 days in the budget and the UK’s Industrial Strategy.
One thing that struck me was that despite all the progress, many of the issues remained the same – and some were even getting worse. For example, the proportion of women applying to study computer science is falling. To quote the remarkable Karen Spärck Jones, “Computing is too important to be left to men”
We will no doubt be having this conversation at CogX – so get your early bird tickets now as Nov pricing ends tomorrow at midnight. If you purchase your tickets today you’ll receive a code to unlock all the reports and videos from last year’s sessions (valued at £1,710) at no extra cost so you can swot up.
Tabitha UntiltheBotsTakeOver Goldstaub
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Word embeddings use vectors to represent words such that the geometry between vectors captures semantic relationship between the words. In this paper, Stanford researchers develop a framework to demonstrate how the temporal dynamics of the embedding can be leveraged to quantify changes in stereotypes and attitudes toward women and ethnic minorities in the 20th and 21st centuries in the United States.
They integrate word embeddings trained on 100 years of text data with the US Census to show that changes in the embedding track closely with demographic and occupation shifts over time. The embedding captures global social shifts – e.g., the women’s movement in the 1960s and Asian immigration into the U.S – and also illuminates how specific adjectives and occupations became more closely associated with certain populations over time.
Meet SAM, heralded as the politician of the future. SAM is the world’s first Virtual Politician, “driven by the desire to close the gap between what voters want and what politicians promise, and what they actually achieve.”
“SAM’s goal is to act as a representative for all New Zealanders, and evolves based on voter input.” Capable of being reached by anyone at just about anytime from anywhere, this may just be the single most accessible politician we’ve ever seen. But more importantly, SAM purports to be a true representative, claiming to analyze “everyone’s views [and] opinions, and impact of potential decisions.” This, the bot notes, could make for better policy for everyone.
In this episode, Sam Charrington is joined by Greg Brockman, OpenAI Co-Founder and CTO. Greg and Sam touch on a bunch of topics in the show.
They start with the founding and goals of OpenAI, before diving into a discussion on Artificial General Intelligence, what it means to achieve it, and how we going about doing so safely and without bias. They also touch on how to massively scale neural networks and their training and the evolution of computational frameworks for AI.
Under the Nuance-Nvidia partnership, the companies will combine Nvidia’s deep learning platform with Nuance’s PowerScribe radiology and PowerShare image exchange network. Nuance’s platform is used by 70 percent of the radiologists in the US.
The Nuance AI Marketplace for Diagnostic Imaging aims to enable deployments of imaging AI models into existing workflows. Nuance plans to use its installed base to bring together researchers, developers, health IT companies as well as hospitals. The marketplace will auto-populate reports and integrate multiple applications.
For people learning Chinese, Microsoft is aiming to fill solve the challenge of finding someone with the time, patience, and skill to help you practice pronunciation, vocabulary and grammar with a new smartphone app that can act as an always available, AI language learning assistant.
The application is akin to a teacher’s assistant, noted Frank Soong, principal researcher and research manager of the Beijing lab’s speech group, which developed the machine-learning models that power Learn Chinese as well as Xiaoying, a chatbot for learning English that the lab deployed in 2016 on the WeChat platform in China. “Our application isn’t a replacement for good human teachers,” said Soong. “But it can assist by being available any time an individual has the desire or the time to practice.”
Robots are very good at doing prescribed tasks over and over–welding the same joint, for example, or hanging a car door on a manufacturing line. But when you introduce variability, things get a lot more complicated. That’s the challenge grocery fulfillment giant Ocado faced when trying to design a robot that could pick up every unit in its 50,000 item catalog.
Ocado’s solution is remarkably simple given the complexity of the problem it solves. The so-called pick station consists of a suction cup on the
end of an articulated arm. “The arm is equipped with a pipe running to an air compressor,” according to an Ocado spokesperson, “which is capable of lifting items regardless of their deformability and shape, as long as they are within the weight restriction and the suction cup can create an airtight seal with the item’s surface (i.e it has a big enough surface available and is not porous).”
Albert Wenger has written an interesting piece on the experience of self-driving cars. He describes 2 ‘immediate and profound changes’. He says, “The first has to do with being in stop and go traffic…I usually hate this, because the tedium of stop and go makes the time feel that much longer. Autopilot transformed this experience…being able to fully engage in a conversation as opposed to having a big part of one’s brain tied up in not hitting the car in front of you (but also not having a huge gap), made the time go by much
faster for me.”
The second has to do with speeding. We drove up the Taconic Parkway, which is notorious for aggressive ticketing for speeding. Here too Autopilot was a game changer. I realized that speeding is something I do to keep myself busy while driving…Again I may be smitten with the novelty effect, but just letting the car do the work at a safe increment to the posted speed limit (a couple of MPH faster) made me perfectly relaxed.
Tobias Baer and Vishnu Kamalnath from McKinsey say that myths aside, AI is as prone to bias as the human kind. The good news is that the biases in algorithms can also be diagnosed and
Creating a conscious, standards-based system for developing machine-learning algorithms will involve leaders in many judgment-based decisions. For this reason, debiasing techniques should be deployed to maximize outcomes. An effective technique in this context is a “premortem” exercise designed to pinpoint the limitations of a proposed model and help executives judge the business risks involved in a new algorithm.
At the Neural Information Processing Systems (NIPS) conference next week, Google researchers Hee Jung Ryu and Florian Schroff will present a project they’re calling an electronic screen protector, where a Google Pixel phone uses its front-facing camera and eye-detecting artificial intelligence to detect whether more than one person is looking at the screen. An unlisted, but public video by Ryu shows the software interrupting a Google messaging app to display a camera view, with the peeking perpetrator identified and given a Snapchat-esque vomit rainbow.
Ryu and Schroff claim the system works with different lighting conditions and poses, and can recognize a person’s gaze in 2 milliseconds. Ostensibly, this AI software is able to work so quickly because it’s being run on the phone, rather than sent for processing on the company’s powerful cloud servers.
Bixby is the South Korean firm’s answer to other voice assistants like Apple’s Siri and Amazon’s Alexa. But when it debuted, fans found it just wasn’t as smart as the competition. To buff up Bixby’s brains, Samsung has now acquired Fluently, which makes an AI chatbot that can compose smart replies in English and
Fluently produced an app that plugged into messengers like Facebook Messenger and WhatsApp, and offered natural-sounding contextual responses. Similar to Gmail’s auto responder, Fluently reads an incoming message, and tries to offer you a selection of appropriate reactions.