In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

By moving from concept to a functional alpha prototype of its HMND 01 system in seven months, London-based startup Humanoid ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Value-Driven All-in-One LED Design for Effortless Deployment in Everyday Spaces ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

In recent years, several serious traffic accidents have exposed the shortcomings of current autonomous driving systems in making safe decisions ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...

Ben Gao '25 asks us to reconsider how we can use AI effectively, arguing that human-centered design needs to be prioritized.

Compare the best Florida real estate CE courses for sales associates and brokers. Find options for core law, ethics, renewal, ...