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

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

Self-driving cars did not disappear. They simply slipped out of the spotlight. While attention shifted to generative AI, ...

With the increasing frequency of natural disasters and health emergencies, wearable infrared thermal imaging devices have gained widespread use in the firefighting and medical fields. However, such ...

Eucalyptus trees, laden with flammable oils, could spread into Portugal's south-central region by 2060 if changing climate ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

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

The dynamic analysis of lower limb biomechanics is crucial for understanding gait, posture, and load distribution, which are foundational for ...

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

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

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