Indian AI researcher earns rare solo acceptance at one of world’s toughest conferences

Kunvar Thaman’s study on “reward hacking” in AI agents earns rare solo acceptance at one of the world’s top machine learning ...
The World from PRX on MSN

The latest in the world of robotics

Robot news has been coming fast and furious this month. One robot won a half-marathon in Beijing, and others captured a Russian position in Ukraine. And last week, we learned of a robotic arm that ...

I've Covered Robots for Years. This One Is Different

From sorting chicken nuggets to screwing in lightbulbs, Eka’s robotic claw feels like we're approaching a ChatGPT moment for ...

Ineffable Intelligence raises $1.1B at $5.1B valuation to build an AI ‘superlearner’

Ineffable Intelligence Ltd., a British artificial intelligence startup founded a few months ago, has raised $1.1 billion in ...
New Scientist

We might finally know how to use quantum computers to boost AI

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...
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 ...
techtimes

AI Cyberattacks Rising: How Hackers Use Machine Learning to Launch Smarter Attacks

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...
IEEE

An Intellectual Zero Trust Security Framework Using Deep Reinforcement Learning for Predictive Threat Mitigation in AI-Based Fraud Detection Systems

Abstract: The rapid growth of Artificial Intelligence (AI) driven financial platforms has led to an increase in sophisticated cyberattacks and fraudulent activities that easily bypass traditional ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.