Artificial intelligence (AI) and machine learning are surging in popularity as these technologies become the foundation for making networks smarter, faster, and more intuitive. Today machine learning ...

Machine learning's transformative shift mirrors the MapReduce moment, revolutionizing efficiency with decentralized consensus ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

The future of conflict prediction relies on combining technical ability, institutional governance and ethical responsibility.

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Previously met with skepticism, AI won scientists a Nobel Prize for Chemistry in 2024 after they used it to solve the protein folding and design problem, and it has now been adopted by biologists ...

A new approach has been proposed to address the problem of "overconfidence"—one of the most critical risks of artificial ...

Elevoc Technology announced that its co-founder, Professor DeLiang Wang, has been recognized in the 2025 ScholarGPS "Highly ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...