iOT365 Introduces LLM-Native Autonomous SOC for Industrial Environments

Autonomous, LLM-native SOC unifying IDS, SIEM, and SOC to eliminate Tier 1 and Tier 2 operations in OT and critical ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
TechCrunch

Hugging Face CEO says we’re in an ‘LLM bubble,’ not an AI bubble

Hugging Face co-founder and CEO Clem Delangue says we’re not in an AI bubble, but an “LLM bubble” — and it may be poised to pop. At an Axios event on Tuesday, the entrepreneur behind the popular AI ...
VentureBeat

Vibe coding platform Cursor releases first in-house LLM, Composer, promising 4X speed boost

The vibe coding tool Cursor, from startup Anysphere, has introduced Composer, its first in-house, proprietary coding large language model (LLM) as part of its Cursor 2.0 platform update. Composer is ...
IEEE

Large Language Model Compatibility with Reinforcement Learning for Networked Microgrids Considering Device and System-Level Missing Measurements

Abstract: The deep reinforcement learning (DRL) approach with its end-to-end and data-driven features enhances the operational strategies for networked microgrids (NMGs). Well-trained DRL agents can ...
TechCrunch

The reinforcement gap — or why some AI skills improve faster than others

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...
Frontiers

Deep Reinforcement Learning for complex hydropower management: evaluating Soft Actor-Critic with a learned system dynamics model

Introduction: Optimizing the operation of interconnected hydropower systems presents significant challenges due to complex non-linear dynamics, hydrological uncertainty, and the need to balance ...
IEEE

LLM-Driven Pareto-Optimal Multi-Mode Reinforcement Learning for Adaptive UAV Navigation in Urban Wind Environments

Abstract: Autonomous drones in complex urban wind environments must balance speed, safety, and energy efficiency under highly variable conditions. Traditional single-policy reinforcement learning ...
blockchain

NVIDIA's ProRL v2 Advances LLM Reinforcement Learning with Extended Training

NVIDIA unveils ProRL v2, a significant leap in reinforcement learning for large language models (LLMs), enhancing performance through extended training and innovative algorithms. NVIDIA has introduced ...
Scientific American

How an Unsolved Math Problem Could Train AI to Predict Crises Years in Advance

Imagine knowing that the stock market will likely crash in three years, that extreme weather will destroy your home in eight or that you will have a debilitating disease in 15—but that you can take ...