Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Yang Song, who previously led the strategic explorations team at OpenAI, is the new “research principal” of Meta ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

The study highlights AI’s ability to process large, fragmented datasets, track packaging flows across systems, and update assessments in near real time. With predictive analytics and machine learning, ...

Only the iPhone 17 Pro Max can be configured with 2 TB. That’s not a vanity number if you’re capturing ProRes/RAW regularly, ...

ROC, the American-made multimodal biometrics and Vision AI provider, today announced its latest face recognition algorithm is one of the most accurate and consistent in the world, according to the ...

Published on 24 September in Nature Immunology, the researchers suggest that fibroblasts show potential as universal drug targets due to their involvement in multiple diseases across a range of ...