Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
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?
Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...
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 ...
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, ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...
The signals that drive many of the brain and body's most essential functions - consciousness, sleep, breathing, heart rate, ...
The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results