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 ...

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.

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

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Scientists have developed a new way to read the hidden states of Majorana qubits, which store information in paired quantum ...

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.

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...