In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

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

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...

A security device made from gold nanoparticles uses light alone to create, verify, and reset uncopyable identities, enabling ...

Since the computer age began, storing and securing escalating data volumes has been a headache. But that problem could potentially be solved using DNA.