In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Technology promised parents and teachers the classroom of the future, but new evidence shows that it may be doing more harm ...

WPI Professor Dmitry Korkin and researchers in Senegal are using a unique type of artificial intelligence (AI) to develop a ...

High-power lasers are promising tools for developing new solutions for healthcare, manufacturing and nuclear fusion. However, says the Strathclyde group, “these are becoming large and expensive owing ...

Gen Z and Gen Alpha are growing up in a very different information world. Teens need to learn how to approach the news in ...

John Martinis has already revolutionised quantum computing twice. Now, he is working on another radical rethink of the technology that could deliver machines with unrivalled capabilities ...

Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially changing the computing paradigm.

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