Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.

Researchers in Sweden developed a new methodology to optimize agrivoltaic systems across Europe, showing that row pitch, system type, and panel orientation must be tailored to local climate, crops, ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

A cozy, neutral sameness defines our era of interior design. Velvet sofas. Bouclé armchairs. All-white living rooms. Beds layered with fluffy faux-fur blankets. Calming sage green kitchen cabinets.

A recently filed lawsuit claims the ratings assigned by A.I. screening software are similar to those of a credit agency and should be subject to the same laws. By Stacy Cowley For millions of ...

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Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their ...

The SSA-BP (Salp Swarm Algorithm-Back Propagation) hybrid optimization algorithm is then employed to train and fine-tune the model. The SSA-BP algorithm leverages the global search capabilities of the ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...