Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

AI models are pushing against three frontiers at once: raw intelligence, response time, and a third quality you might call ...

Biodiversity is changing across the planet, yet governments still lack the robust, consistent data needed to track these ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

A vaccine usually trains your immune system to recognize one target. Here, the target is basically “anything that doesn’t ...

Systematic analyses show that normative model performance strongly depends on sample size and covariate distributions, larger samples yield more stable fits, while misaligned covariates introduce ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Background Primary healthcare (PHC) is critical towards achieving Universal Health Coverage (UHC). In Ghana, PHC is organised at the district level and plays a key role in the country’s pursuit of UHC ...

Geologically, the mine is located on the south limb of the Porcupine Syncline and is just north of the Destor Porcupine Fault ...

Background With the acceleration of globalisation and the increasing frequency of international exchanges, the risk of cross-border transmission of emerging respiratory infectious diseases (ERIDs) has ...