Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
A review on nano-architected mechanical metamaterials reveals how nanoscale geometry transforms material properties for ...
Tech Xplore on MSN
What a virtual zebrafish can teach us about autonomous AI
Aran Nayebi jokes that his robot vacuum has a bigger brain than his two cats. But while the vacuum can only follow a preset ...
Interesting Engineering on MSN
AI-trained quadruped robot walks rough, low-friction terrain without human input
A quadruped robot has learned to walk across slippery, uneven terrain entirely through simulation, ...
Which IIT First introduced B.Tech in Artificial Intelligence? Discover how this IIT changed engineering careers, and how it ...
If large language models are the brains of machines, then dexterous robotic hands are becoming their bodies. As AI steps out of the digital world and into ...
The CEO and CEO-elect of Imec have talked about their priorities and strategies for 2026. “The pace at which AI has permeated virtually every aspect of society has been nothing short of mind-blowing,” ...
ACE developed two complementary modelling tools that bolster the Ministry of Defence's rapid tactical decision-making abilities, balancing speed and ...
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