Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

Peter Grindrod CBE, Professor in Oxford University's Mathematical Institute and Co-Investigator of the Erlangen AI Hub, outlines why mathematics is ...

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably ...

While most investors remain trapped in the psychological struggle between fear and greed, Professor Alexander James Moore has chosen a fundamentally different path: ending the era of emotional ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Researchers at the company are trying to understand their A.I. system’s mind—examining its neurons, running it through ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

My inflation sensitive Model Portfolio outperformed the S&P 500 in January 2026, driven by strong returns in Precious Metals, Quality Stocks and ...

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 ...