Digital twins began as static digital models used primarily for visualization and design. The review shows that they have ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Hemanth Kumar Padakanti transformed Angi's AI capabilities by architecting a secure, automated MLOps platform that reduced ...

In 2025, Anthropic will grow from $1 billion to $9 billion in ARR (annual recurring revenue). OpenAI, meanwhile, will go from ...

For several years, researchers in Würzburg have been using state-of-the-art single-cell analysis to study individual cells.

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

The Sechenov University Cardiovascular Surgery Clinic has developed a program that will help cardiac surgeons with mitral valve reconstruction. The difficulty lies in the fact that no one has done a ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

Contributed by Vikhyat Chaudhry, co-founder, CTO, and COO at Buzz Solutions From Imagery to Intelligence For the last several ...