A new technical paper titled “High-clockrate free-space optical in-memory computing” was published by researchers at UC Berkeley, USC,  and TU Berlin. Abstract “The ability to process and act on data ...

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

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

AI analysis of retinal images may enable cuffless blood pressure biometry with accuracy comparable to traditional arm cuff measurements.

Innovations addressing some of the world’s most pressing challenges took centre stage at the Innovator Meet Tech Exhibition ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...

Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...