The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Researchers at Chungnam National University have developed a deep learning method that predicts stable defect configurations in nematic liquid crystals in milliseconds rather than hours. This rapid ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

A five-day Faculty Development Program (FDP) titled “Deployable Intelligent Systems Using AI, ML & DL” was organized by the ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Deep GI project lead Dr Rungsun Rerknimitr reveals a three-year plan to validate and scale a deployable AI-powered diagnosis ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

Matlantis CSP has already produced early results across multiple systems—oxides, alloys, and phosphides—discovering more than 10 previously unknown stable crystals. In the Ga–Au–Ca system, it ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered ...