Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters ...

In retinal disease screenings, artificial intelligence can help deliver diagnoses earlier, giving physicians more time to preserve vision.

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

Companies like Apple and Qualcomm are in the early stages of making on-device AI more useful. Amid all that, the 14-person ...