Meet ServiceNow Agent Intelligence: Machine Learning for Everyday WorkCIOAccording to “The Global CIO Point of View,” issued today, nearly 9 out of 10 CIOs already use machine-learning technology or have plans to adopt it. Investments will double in th…
Come to OpenAI’s office in San Francisco’s Mission District for talks and a hackathon on Saturday, March 3rd. (RSVPs are now closed. We have limited space and will curate the invite list — we’ll send email confirmations within the next few days.) Schedule of the day:
TechCrunchFeature Labs launches out of MIT to accelerate the development of …TechCrunchFeature Labs, a startup with roots in research begun at MIT, officially launched today with a set of tools to help data scientists build machine learning algorithm…
Were excited to announce a medical research partnership with the US Department of Veterans Affairs (VA), one of the worlds leading healthcare organisations responsible for providing high-quality care to veterans and their families across the United Sta…
Fortune |
4 Things Everyone Should Fear About Artificial Intelligence and the Future
Fortune Advances in artificial intelligence have the potential to supercharge medical research and better detect diseases, but it could also amplify the actions of bad actors. That’s according to a report released this week by a team of academics and … |
Colloquy.com |
Machine Learning in Action
Colloquy.com A new infographic from Precima breaks down how the company leverages the power of machine learning to optimize sales, pricing and more for a range of top-tier retailers. If you’re a retailer who hasn’t immersed yourself in the power that machine … |
NBCNews.comArtificial intelligence could supercharge hacking and election meddling, study warnsNBCNews.comEntitled "The Malicious Use of Artificial Intelligence: Forecasting, Prevention and Mitigation," the report was released to sound the al…
Lawrence Berkeley National Laboratory |
Berkeley Lab ‘Minimalist Machine Learning‘ Algorithms Analyze Images From Very Little Data
Lawrence Berkeley National Laboratory Daniël Pelt and James Sethian of Berkeley Lab’s Center for Advanced Mathematics for Energy Research Applications (CAMERA) turned the usual machine learning perspective on its head by developing what they call a “Mixed-Scale Dense Convolution Neural … |
Quanta Magazine |
Why Self-Taught Artificial Intelligence Has Trouble With the Real World
Quanta Magazine But now artificial intelligence researchers are rethinking the way their bots incorporate the totality of human knowledge. The current trend is: Don’t bother. Last October, the DeepMind team published details of a new Go-playing system, AlphaGo Zero … |
