Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Cognitiv, the leading advanced performance partner powered by deep learning, today announced strong business momentum in 2025, highlighted by 388% growth in ContextGPT™ and the rapid adoption of the ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

A NEWLY published retrospective study has shown that AI, particularly deep-learning algorithms, can significantly reduce the rate of misdiagnosis in paediatric elbow fractures. The study analysed 755 ...

Each generation of 3D NAND packs about 30% more bits than the previous version, with current devices storing up to 2 terabits of data in a die the size of a fingernail. With new product introductions ...

Security researchers have conducted an in-depth analysis of DragonForce ransomware that initially emerged in 2023 and has since evolved into what it calls a "ransomware cartel." The most recent ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Struggling to navigate complex deep learning research? This guide helps software engineers efficiently read and understand deep learning papers, breaking down key concepts and tips for practical ...

Abstract: Deep learning models are widely used in data-driven applications due to their high predictive performance, but their lack of interpretability limits their applicability in domains requiring ...

Deep Fission, a California-based nuclear startup aiming to place small modular pressurized water reactors in boreholes one mile underground, has announced the selection of its first three planned ...