Page 7 - Learning Representations News Today

The University of Michigan in Ann Arbor has developed a new way to optimize the training of deep learning models lowering energy demands.

Researchers are pouring more energy into GPUs for very little return, says ML.Energy group

A new way to optimize the training of deep learning models, a rapidly evolving tool for powering artificial intelligence, could slash AI's energy demands.

Khari JohnsonDuring a trip home to Johannesburg, South Africa, while completing an engineering masters program in Japan, Pelonomi Moiloa attended the

A breakthrough in secure communications has been achieved by an international team of researchers led by the University of Oxford who have developed an algorithm capable of concealing sensitive information. Click to read more...

An algorithm has been developed that conceals sensitive information so effectively that it is impossible to detect that anything has been hidden.

Joint UK-US team finds way to send perfectly secure secret digital communications without cryptography or quantum computersAdvances in information theory are b…

Artificial Neural Networks have reached ‘Grandmaster’ and even ‘super-human’ performance’ across a variety of games, from those involving perfect-information, such as Go ((Silver et al. (2016)); to those involving imperfect-information, such as ‘Starcraft’ (Vinyals et al. (2019)). Such technological developments from AI-labs have ushered concomitant applications across the world of business, where an ‘AI’ brand-tag is fast becoming ubiquitous. A corollary of such widespread com...

1990: gradient descent learns subgoals. 1991: multiple time scales and levels of abstraction. 1997: world models learn predictable abstract representations...

By using artificial intelligence to detect pedestrians, other cars, and possible impediments, an autonomous vehicle may go across city streets and other less crowded areas.