Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...

Adobe is hiring an ML Platform Engineer for its Bengaluru office. The Advertising Cloud Search, Social, Commerce team which ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

According to Mordor Intelligence, the 5G chipset market is witnessing rapid expansion, driven by increasing global 5G ...

For in-house counsel and marketing teams, 2026 is shaping up to be an active year for advertising disputes. Regulators, competitors, and consumers are converging on familiar concerns – truthfulness, ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

A closer look at how robotics is reshaping pharmaceutical manufacturing, from improving quality and compliance to enabling more scalable production, and where the technology is headed next.

AI is rapidly reshaping the landscape of surgical oncology. However, its true potential lies not in isolated tools, but rather ...

A research team at NYU Langone Health and Sage Bionetworks has been awarded a $25 million grant to establish the data hub and coordinating center for the National Institutes of Health's ...

Deep-Learning Paradigm Achieves Global Precision in Nuclear Charge Density PredictionsThe charge density distribution of an atomic nucleus is a ...

Paul Conyngham, an Australian tech entrepreneur, has claimed to develop a personalised cancer vaccine for his dog Rosie using ...