MarkTechPost

Kyutai Releases Voice of Reason: A Speech-Native Model that Solves Spoken Math with Reinforcement Learning

Kyutai's Voice of Reason uses reinforcement learning to lift GLM-4-Voice from 27.3% to 77.1% on spoken GSM8K math.
HackerNoon

Building an Urban Heat Island Detector with Python, Satellite Data, and Machine Learning

Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...

Evaluation-Driven Development (EDD) for LLM Applications and Product Management: A Practical Paradigm for Continuous Improvement

The Paradigm Shift in LLM Application Development and the Necessity of EvaluationDeveloping applications centered on Large ...
Forbes

New ‘Reinforcement Learning For Calibrated Decisions’ Makes AI Headlines But Look Past The Hype

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...
GitHub

Reinforcement Learning Tutorial

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
SiliconANGLE

Bugcrowd launches reinforcement learning environments to train AI on real software vulnerabilities

Crowdsourced cybersecurity company Bugcrowd Inc. today launched Reinforcement Learning Environments, a new offering that lets frontier artificial intelligence labs train models on real vulnerable ...
science

Reward magnitude determines reinforcement learning efficiency

Training an animal on a complex task is often a painstaking, incremental process. This is because conventional behavioral learning protocols focus on minimizing reward to maximize trials. Gong et al.
CNBC

Nvidia's Jensen Huang bets on this British startup to build 'next frontier' of AI

Nvidia will partner with British startup Ineffable Intelligence to develop new AI systems, the companies announced in Wednesday. Unlike many leading AI models that are trained on human data, Ineffable ...
I Programmer

Microsoft Fabric Machine Learning Tutorial - The Course

Learn about Microsoft Fabric and its applications of ML through a project analyzing Titanic's passenger data. This tutorial is an end-to-end demonstration of Microsoft Fabric that guides learners from ...
marktechpost

Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent

In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine ...
news.ucsc

Brain organoids can be trained to solve a goal-directed task

Study authors Hunter Schweiger (left) and Ash Robbins. Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small ...
GitHub

CS224R Deep Reinforcement Learning Tutorial Generator

This project creates comprehensive HTML tutorials for Stanford's CS224R Deep Reinforcement Learning course (Spring 2025). The tutorials are generated using Claude Code with Opus 4.5 by combining ...