Morning Overview on MSN

Machine learning is turbocharging cheap lithium-ion battery design

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...
Quanta Magazine

Fed on Reams of Cell Data, AI Maps New Neighborhoods in the Brain

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

As AI enters the operating room, reports arise of botched surgeries and misidentified body parts

Medical device makers have been rushing to add AI to their products. While proponents say the new technology will ...
IEEE

Automated Data Extraction from Unstructured Text Using Machine Learning Algorithms

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...
Tech Xplore

How can computing for AI and other demands be more energy efficient?

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...
Las Vegas News on MSN

The hidden labor behind AI: The humans training the machines

We live in an age where artificial intelligence seems almost magical. Voice assistants understand our requests, ...
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

Lightweight Adaptive Quantization Algorithms for Federated Learning with Heterogeneous Clients

Abstract: Quantization is a common method to improve communication efficiency in federated learning (FL) by compressing the gradients that clients upload. Currently, most application scenarios involve ...