Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...
Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...
Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive ...
5don MSN
Dopamine under control: Precision regulation of inhibition shapes learning, memory and mental health
For decades, dopamine has been celebrated in neuroscience as the quintessential "reward molecule"—a chemical herald of ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...
Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...
Let's discuss four trends that will redefine how robots create value — from smarter math and cooperative behaviors to ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.
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