DeepMind, an AI research laboratory founded in London in 2010, was acquired by Google in 2014. In April 2023, it merged with the Google Brain division to become Google DeepMind. What made him focus on ...
For Goyal, the decision was about long-term impact. He explained that quant narrows your skills down to a specialty very quickly, and if you want to expand outside that, it's hard. Whereas in AI, he ...
The company hopes that microfluidics will make it possible for data centers to run more-intensive computational workloads without the risk of overheating, particularly as newer, more powerful AI ...
Population bottlenecks caused by stark population loss due to illness or habitat destruction caused mammals' disease immunity to decline, according to a new study led by computational biologists in ...
The German productivity and collaboration software firm is prepping an open-source, digitally sovereign competitor to popular SaaS products like Microsoft 365 and Google Workspace.
In an era where technology drives economic growth, business transformation, and societal progress, access to internationally competitive computer science ...
Public sector organisations face unprecedented data and communication security challenges. As quantum computing matures, conventional encryption technologies will need reinforcement. At the same time, ...
Data science is a new major at BYU. A map at the kick-off detailed all the major requirements. (Sariah Francis) The BYU College of Computational, Mathematical and Physical Sciences (CMS) faculty and ...
For Qatar, the programme represents both a bold academic initiative and a national investment in the future workforce ...
In part 2 of our two-part series on generative artificial intelligence's environmental impacts , MIT News explores some of the ways experts are ...
Windows is coming back together. Microsoft is bringing its key Windows engineering teams under a single organization again, as part of a reorg being announced today. Windows chief Pavan Davuluri, who ...
NetEase-backed study shows language model agents may detect bugs faster and with greater coverage than existing tools.