AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools.

Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major earthquakes is ever-present. One of the most destructive aspects of seismic ...

A small study in Israel developed a machine learning model that achieved moderate to high accuracy in predicting romantic attraction and rejection in a simulated dating app scenario. The researchers ...

In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different positions over a period of time, and conversations as a series of words ...

Many properties of the world's most advanced materials are beyond the reach of quantitative modeling. Understanding them also requires a human expert's reasoning and intuition, which can't be ...

An AI system trialled in Exeter is helping South West Water hunt down hidden lead pipes — part of a plan to remove 40,000 across the region and make the network safer ...

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE). However, no validated clinical tools for predicting damage accumulation ...

Delphi-2M is the first open source, large-scale model for predicting a patient’s disease risk and when it may occur.

Tokyo, one of the world’s most densely populated megacities, sits on a highly active seismic zone where the threat of major earthquakes is ever-present. One of the most destructive aspects of seismic ...

Maps created using machine learning model show more regions at risk of chikungunya than previously thought India could experience the greatest long-term impact from mosquito-borne chikungunya, ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images.