Run at dawn, dusk or midnight: The best running headlamps of 2026

From urban pavements to trail ultra-miles, these headlamps deliver the brightness, battery life, and comfort you need after ...
GitHub

siiRL: Shanghai Innovation Institute RL Framework for Advanced LLMs and Multi-Agent Systems

Near-Linear Scalability: The multi-controller paradigm eliminates central bottlenecks by distributing control logic and data management across all workers, enabling near-linear scalability to ...
IEEE

RAM-Wafer: RL-Based Automatic Mapping Framework for Large-Scale AI Training on Wafer-Scale Computing

Abstract: Wafer-scale computing, with its high integration density and die-to-die bandwidth, offers a promising solution to the exponentially growing computational demands of large AI models. However, ...
GitHub

From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.

This repo contains the resources for the paper "From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning." In this work, we take mathematical reasoning as a ...
BMJ

How blood flow restriction resistance training has been studied on non-restricted muscles in healthy, injured and clinical populations: a scoping review and evidence gap map

Objectives Blood flow restriction (BFR) resistance training enhances muscle growth in restricted limbs, but its effects on non-restricted muscles remain unclear. This scoping review, accompanied by an ...
Nanowerk

AI maps reaction pathways for colloidal quantum dots

Researchers use AI to visualize reaction pathways of colloidal quantum dots as subway maps, clarifying synthesis and speeding sensor design. This innovative achievement allows AI to analyze complex ...
marktechpost

Liquid AI’s LFM2-2.6B-Exp Uses Pure Reinforcement Learning RL And Dynamic Hybrid Reasoning To Tighten Small Model Behavior

Liquid AI has introduced LFM2-2.6B-Exp, an experimental checkpoint of its LFM2-2.6B language model that is trained with pure reinforcement learning on top of the existing LFM2 stack. The goal is ...
IEEE

Cascaded RL-MPPI Framework for Off-Road Vehicles: Integrating Global Maps and SLAM

Abstract: Autonomous off-road navigation requires coping with unstructured terrain, intermittent obstacles, and tight real-time computational constraints, challenges that often exceed the capabilities ...