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.

As we enter a new year, most advice tells you to get clear about who you are and what you want. But what if that clarity ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

THRO uses AI-driven, tactical theme rotation focused on large-cap U.S. equities, currently overweighting technology. Read ...

To improve students' English language skills, his team is encouraging the use of artificial intelligence (AI) in language ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

Professionals who fail slowly and then recover build deeper resilience. Learn how to sustain adaptation without breaking.

The Musk-headed company noted that the move will create adaptive, curriculum-aligned tutoring that adjusts pace, preferences, and mastery levels, ensuring that every student. ・Rivals OpenAI and Meta ...

Abstract: With the increasing demand for surveilling low-observable targets, dim target detection in complex ocean environments remains a challenging issue. Sea clutter suppression can significantly ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...