https://robohub.org/2019-robot-launch-startup-competition-is-open/ Applications are now open until September 2nd 6pm PDT. Finalists may receive up to $500k in investment offers, plus space ...
Researchers at the Skolkovo Institute of Science and Technology (Skoltech) in Russia have recently introduced a new strategy to enhance interactions between humans and robotic swarms, ...
Tue, Oct 8, 2019, 1:00 PM: Celebrate the contributions of women leaders in robotics and discover hands-on pathways into tech for all.About this EventThe Women in Tech Initiative, a joint ...
https://robohub.org/2019-robot-launch-startup-competition-is-open/ Applications are now open until September 2nd 6pm PDT. Finalists may receive up to $500k in investment offers, plus space ...
Researchers at the Skolkovo Institute of Science and Technology (Skoltech) in Russia have recently introduced a new strategy to enhance interactions between humans and robotic swarms, ...
Tue, Oct 8, 2019, 1:00 PM: Celebrate the contributions of women leaders in robotics and discover hands-on pathways into tech for all.About this EventThe Women in Tech Initiative, a joint ...
We research and build safe AI systems that learn how to solve problems and advance scientific discovery for all. Explore our work: deepmind.com/research
It can pick out shoplifters, international criminals and lost children in seconds. But as the cameras proliferate, who’s watching the watchers?
There is no clear outline on how to study Machine Learning/Deep Learning due to which many individuals apply all the possible algorithms that they have heard of and hope that one of ...
he brave new world of artificial intelligence is coming to a mobile phone, hospital or a supermarket near you. What are the challenges and opportunities autonomous systems may bring as they ...
A summary of best practice addressing specific challenges of acquiring Artificial Intelligence in the public sector
We ran our youth essay question through an artificial-intelligence system to produce an essay
Traditional wisdom in machine learning holds that there is a careful trade-off between training error and generalization gap. There is a "sweet spot" for the model complexity such that the ...
A closer look at how Temporal Difference Learning merges paths of experience for greater statistical efficiency