Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

Coursiv sponsors Python Software Foundation, supporting the open-source language powering 80% of AI tools used by ...

BITS Pilani has launched 2 new courses on AI, Machine Learning and Cybersecurity. The enrolment process is ongoing on official website.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Variscite has launched a new System on Module (SoM) series designed to meet the Smart Mobility Architecture (SMARC) industry ...

Luna 9 was the first spacecraft to soft-land on the Moon, sending the first images from the lunar surface to Earth. The Luna ...

An international research team used high-resolution electroluminescence imaging to quantify type-C cracks in 100 PV modules after 11 years of operation, linking crack distribution to real-world power ...

A single clear image can rewire the visual brain, making later recognition faster without relying on memory systems.

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Only one of these patches of lunar plain can be Luna 9’s actual landing site – and there’s no guarantee that either of them is. But the search is oddly compelling.

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...