Categories: AI/ML News

AI helps whittle down candidates for hydrogen carriers in liquid form from billions to about 40

In a computational study leveraging artificial intelligence (AI), scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have assessed 160 billion molecules, a number exceeding the people born in the entire span of human history. Their goal was to screen the molecules for suitability as liquid carriers of hydrogen.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Cunk on AI – Sam Altman – MiniMax H3

My wife did this Cunk parody with a 3060 12gb and 32gb of system ram.…

57 mins ago

Understanding the Role of Latent Space in Machine Learning Models

In this article, you will learn what latent spaces are and how they serve three…

57 mins ago

When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs

As concerns around data privacy in machine learning grow, the ability to unlearn, or remove,…

57 mins ago

Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge

In multi-turn reinforcement learning (RL), your custom reward function decides what the model actually learns.…

58 mins ago

New York City Lawmakers Push to ‘Ban the Scan’ at MSG

At a press conference outside Madison Square Garden, politicians, musicians, and privacy advocates argued for…

2 hours ago

World’s first superconducting quantum heat engine could help unlock massive quantum computers

A tiny superconducting engine has successfully converted heat near absolute zero into useful work, demonstrating…

2 hours ago