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, ...

India's defence inventory has long been characterised by vintage platforms, chronic procurement delays, and a technology ...

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

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

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

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

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 ...

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

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

Understanding the distinction between system capability and human application provides a more balanced assessment of digital ...

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