Ongoing developments in agentic, physical and sovereign AI are expanding the boundaries of what’s possible but successful ...
The Rho-alpha model incorporates sensor modalities such as tactile feedback and is trained with human guidance, says ...
Instead, physical AI needs to orchestrate a blend of on-device processing for speed and cloud computation for long-term ...
Referring to the growing influence of billionaires in global politics, international rights group Oxfam on Monday cited India ...
Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Energy systems face complicated, long-term challenges with a high degree of uncertainty – and every country’s is different.
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...
As AI systems begin to act, enterprises face a new crisis: how to govern decisions, risk, and compliance in a world run ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
Abstract: Thirty years ago, when the TCAS II modeling effort was undertaken, the notion of model-based design and model-based systems engineering were new concepts. The TCAS II modeling effort ...
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