MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...

AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...

From computers to smartphones, from smart appliances to the internet itself, the technology we use every day only exists ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Jia’s team developed a protocol to improve the screening of protein pockets. This involved identifying the pockets, removing ...

When Jorie Kraus was diagnosed with an incurable rare disease, two young researchers created an AI tool to find a treatment.

The development hasn’t been straightforward. Early versions of the algorithm struggled with shadows and confused driftwood ...

Proptech promised disruption but delivered prettier middlemen. The next revolution won't be digital; it'll be honest.

AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning raises concerns. Trustworthy deployment demands transparency, fairness, and ...

Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...