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.

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

What Is Physical AI & Robotics? Physical AI & Robotics refers to intelligent systems where artificial intelligence is ...

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Abstract: Dynamic Machine Allocation (DMA) is a vital aspect of production scheduling in semiconductor manufacturing. Current DMA practices heavily rely on engineers’ domain expertise and require a ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

The modern gaming industry operates on player engagement and retention. While high-quality content is the primary draw, the most effective monetization systems rely on psychological principles that ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...