This talk was held on Wed, Feb 24 2016 Dr. Demis Hassabis is the Co-Founder and CEO of DeepMind, the world's leading General Artificial Intelligence (AI) company, which was acquired by Google in 2014 in their largest ever European acquisition. Demis draws on his eclectic experiences as an AI researcher, neuroscientist and videogames designer to discuss what is happening at the cutting edge of AI research, its future impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind.

AI is here - although Microsoft's blunder with Tay, the "teenaged girl AI" embodied by a Twitter account who "turned racist" shows that we obviously still have a long ways to go. The pace of advancement, mixed with our general lack of knowledge in the realm of artificial intelligence, has spurred many to chime in on the emerging topic of AI and ethics.…

Tay, marketed as "Microsoft's AI fam from the internet that's got zero chill," candidly tweeted racist and sexist remarks confirming she in fact had "zero chill". The chatbot was shut down within 24 hours of her introduction to the world after offending the masses. Interestingly enough, Tay was reintroduced to the world a few days ago. It is unclear whether this was an intentional or unintentional move by Microsoft, but Tay once again began tweeting offensive content and was yanked from the internet. Microsoft placed too much trust in AI.

This story was delivered to BI Intelligence "E-Commerce Industry Insider" subscribers. To learn more and subscribe, please click here. Travel search engine Kayak is officially expanding its coverage areas outside of booking flights and hotels, reports Skift. Beginning in May, users will be able to search for and book reservations for restaurants, tours, and activities in cities around the world. The biggest advantage of this expansion is an increase in user engagement with Kayak's platform. Once users book a flight or hotel reservation, they have no further need to use Kayak.

In a wide-ranging keynote address that included aspirational statements, updates, and announcements, Ginni Rometty, the chairwoman, president, and CEO of the Armonk, N.Y.-based IBM, on Tuesday morning shared her vision of cognitive computing with attendees at the World Health Care Congress, being held this week at the Marriott Wardman Park Hotel in Washington, D.C. Telling her audience that "Healthcare has been central to us for a long time," Rometty framed the broad work that IBM is doing in cognitive computing in terms of what she sees as its potential to change the healthcare industry in three fundamental ways: with regard to "how to reinvent discovery," how to "help change how delivery happens," and how to "transform wellness." Indeed, she said, "Cognitive computing is the future of healthcare," and said that IBM's work in that area, embodied in its development of IBM Watson, its cognitive computing entity, which IBM data scientists and technologists are using to transform knowledge in a broad range of areas. Framing IBM's broad strategic thrust around cognitive computing, Rometty told her audience, "Analytics, cloud, mobile--those are all very important to be a part of the digital society and economy. I always think of digital as foundational; I believe it is disruptive… It is the dawn of a new era. Think of digital business and business intelligence put together, and that will give you cognitive," she said.

Have trouble achieving a work-life balance? Well, Google Calendar might be able to help. On Wednesday, Google released Goals, a new feature for Google Calendar that uses machine intelligence to help users find time in their busy schedule to accomplish personal goals, such as exercising, reading more, or learning a new skill. Goals is on the Google Calendar mobile app, and can be used to tackle specific, categorized goals, or to create and pursue a custom personal goal. The new feature is now available everywhere that Calendar is. For those of us who live and die by what's on our calendars, stating our goals is a good start to achieving them.

I understand that ANNs are extremely useful in searching for patterns, but I've also heard that ANNs aren't too good at approximating convoluted mathematics. The argument was suggested it is difficult to express such relationships in a graph structure. I'm not sure if it's true, but I ask generally.

All of this firepower combines to give the Tesla P100 12 times the neural network training performance of its Maxwell-based predecessor. "Deep learning is not just research anymore it's going to be in every industry", said Huang. "It will open up markets to benefit everyone". Today, Chief Executive Jen-Hsun Huang signaled that he's aiming even higher in a bid to reinvent the data center and cloud computing. By our calculations, just over 300x DGX-1 systems would be able to out-process the current number-one supercomputer in the world, with only a fraction of the power (not to mention real-estate and ancillary cooling too).

I understand that ANNs are extremely useful in searching for patterns, but I've also heard that ANNs aren't too good at approximating convoluted mathematics. The argument was suggested it is difficult to express such relationships in a graph structure. I'm not sure if it's true, but I ask generally.

Chris Bishop, of Microsoft Research in Cambridge, has joined a growing list of experts, including Elon Musk and Professor Stephen Hawking, who have expressed their concerns about the threat of AI to the human race. The computer boffin painted a vision of a Terminator-style wasteland to illustrate the dangers of ultra-intelligent machines, but added that if managed correctly they could bring huge societal benefits.