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 ...

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

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

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

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 ...

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

Explore 5 classic eye-tracking experiments for memory studies. These foundational paradigms reveal how gaze behavior reflects encoding, retrieval, working ...

Researchers claim that leading image editing AIs can be jailbroken through rasterized text and visual cues, allowing prohibited edits to bypass safety filters and succeed in up to 80.9% of cases.

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be happening.