Their tool, CoSyn (short for Code-Guided Synthesis), taps open-source AI models’ coding skills to render text-rich images and generate relevant questions and answers, giving other AI systems the data ...

Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

A study from EPFL reveals why humans excel at recognizing objects from fragments while AI struggles, highlighting the ...

Learn more about how Microsoft Sentinel data lake accelerates AI adoption, empowering teams to detect and respond faster ...

Aira is an AI-powered accessibility platform that provides real-time assistance to help the visually impaired navigate daily ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

BLOG OVERVIEW - Expert consultants go over DCI's takeaways and lessons from this year's EEO-1 filing period and instruction ...

This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

UChicago researchers created a ‘quantum-inspired’ revolution in microelectronics, storing classical computer memory in ...

GDP numbers, exam results, cricket stats. But when it comes to real lives, especially those of women, LGBTQ+, Dalit, Adivasi, ...

Scientists have detected the largest black hole collision ever observed, resulting in a colossal binary black hole 240 times ...