An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Artificial intelligence, if carefully designed, could significantly reduce emergency vehicle delays in congested cities ...

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.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Structural robustness—the ability of a structure to withstand unforeseen or extreme events without suffering disproportionate ...

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...

Market valued at $27.64B in 2024, projected 3.94% CAGR growth driven by petroleum refining, green chemistry, biocatalysts, and environmental catalyst demand.

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

New AI Resume Builder page helps job seekers optimize resumes for ATS, showcase measurable achievements, and boost ...