To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

On Nov. 7, 2017, the American social-media platform Reddit shut down r/Incels, an online forum with more than 40,000 members. This was in line with a new policy the company brought in, banning content ...

A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: psychiatry remains the only major clinical discipline that diagnoses ...

Generative AI is transforming how leaders can use unstructured, regulated text to generate actionable insights. To illustrate this, researchers fine-tuned a GPT to analyze 10-K business descriptions ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...