MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...

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

Artificial intelligence is becoming a useful tool across a wide array of sectors. Therefore, it is little surprise that AI ...

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...

On January 9, 2026, the latest edition of Applied Artificial Intelligence for Drug Discovery was published online as a Springer Nature volume, spanning 27 chapters authored by leading international ...

Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI ...

In the narrative of Industry 4.0, the cloud has long been the protagonist. It promised infinite storage, massive computing power, and the ability to aggregate d ...