Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
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.
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 ...
Connect X9 (1.6 TB/s bandwidth), Bluefield 4 DPU (offloads storage/security), NVLink 6 switch (scales 72 GPUs as one), ...
Health system and hospital executives see the promise of automation and artificial intelligence to customize patient outreach ...
When students joined in virtually, I made sure to affirm their input and invite them to elaborate further,” she recalls.
A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
Ben Gao '25 asks us to reconsider how we can use AI effectively, arguing that human-centered design needs to be prioritized.
Humanoid, a UK-based AI and robotics company, is accelerating the development of its humanoid robots by integrating NVI ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Morning Overview on MSN
Scientists build a ‘periodic table’ for AI models
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
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