Categories: AI/ML News

‘Discovery learning’ AI tool predicts battery cycle life with just a few days’ data

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at University of Michigan Engineering—can predict how many charge-discharge cycles the battery can undergo before its capacity drops below 90% of its design capacity.

Integrated modeling approach decodes solid-state battery microstructures for better performance

Researchers at Lawrence Livermore National Laboratory (LLNL) have developed a novel, integrated modeling approach to identify and improve key interface and microstructural features in complex materials typically used for advanced batteries. The work helped unravel the relationship between material microstructure and key properties and better predict how those properties affect…

January 31, 2025

In "AI/ML News"

AI prescribes new electrolyte additive combinations for enhanced battery performance

Batteries, like humans, require medicine to function at their best. In battery technology, this medicine comes in the form of electrolyte additives, which enhance performance by forming stable interfaces, lowering resistance and boosting energy capacity, resulting in improved efficiency and longevity.

August 28, 2025

In "AI/ML News"

Study employs image-recognition AI to determine battery composition and conditions

An international collaborative research team has developed an image recognition technology that can accurately determine the elemental composition and the number of charge and discharge cycles of a battery by examining only its surface morphology using AI learning.

July 3, 2024

In "AI/ML News"

AI Generated Robotic Content

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AI Generated Robotic Content

9 months ago

The PHP Meltdown Shows How AI Makes Bugs More Exploitable

Security researchers used AI tools to help uncover years-old vulnerabilities in the PHP web scripting…

13 hours ago

AI/ML News

Wearable system captures human activity data for robot training

Humanoid robots, robotic systems with a body shape that resembles that of humans, could tackle…

13 hours ago

AI/ML Research

Speculative Decoding Explained: How to Get 3× Faster Inference from Any LLM

In this article, you will learn how speculative decoding works, why it produces real speed…

1 day ago

FAANG

Beyond API Compatibility: Building a Tool to Measure the Blast Radius of Library Changes

By Roberto Perez Alcolea, Java Platform TeamQuasar connects a proposed API change with observed references in…

1 day ago

FAANG

Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide

Most fine-tuning teaches a model to produce a better answer to a single prompt. Agentic…

1 day ago

AI/ML News

Revival Rugs Birthday Sale: 20 Percent Off Sitewide Through Sunday

The brand’s lovely selection of hand-knotted and handwoven wool rugs at reasonable prices make it…

2 days ago

‘Discovery learning’ AI tool predicts battery cycle life with just a few days’ data

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