TTT-Discover optimizes GPU kernels 2x faster than human experts — by training during inference

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Reinforcement learning session gathers experts

An intensive programme on reinforcement learning, brought together 60 international participants including students, ...
Tech Xplore

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
IEEE

Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators

Abstract: This article presents a motion planning and control framework for flexible robotic manipulators, integrating deep reinforcement learning (DRL) with a nonlinear partial differential equation ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Nature

How learning handwriting trains the brain: the science behind the cursive wars

Handwriting requirements were cut from school curricula around the world. Now it’s looping back, riding on a wave of evidence.
InfoQ

Google BigQuery Adds SQL-Native Managed Inference for Hugging Face Models

Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for ...
IEEE

Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation

Abstract: Empathetic response generation, aiming to understand the user’s situation and feelings and respond empathically, is crucial in building human-like dialogue systems. Traditional approaches ...
Frontiers

Solving robotics tasks with prior demonstration via exploration-efficient deep reinforcement learning

This paper proposes an exploration-efficient deep reinforcement learning with reference (DRLR) policy framework for learning robotics tasks incorporating demonstrations. The DRLR framework is ...