UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Together, they form Helios, a new quantum computer built by the British-American company Quantinuum. Quantum computers use ...

How is AI redefining the way financial firms supervise voice communications? Explore how firms are transforming voice ...

Morgan Hasenmyer, a doctoral student at Montana State University, is one of five women worldwide to be awarded a 2026 Women in Optics Scholarship from SPIE, the international ...

A new Quantum Monte Carlo algorithm in Physical Review Letters marks a significant step forward in the quest to build ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

The market for fan-out panel-level packaging (FO-PLP) and glass substrates is set to grow more than tenfold in five years, as Intel, TSMC, and others race to adopt the large-area packaging that ...

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

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