Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, ...

Few phrases encapsulate the despair of the Indian litigant more powerfully than Sunny Deol’s anguished outburst in Damini: ...

Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel ...

Will outsourcing to AI erode our moral conscience? New research reveals people are more likely to be dishonest when delegating tasks to AI systems.

In contrast, a DL model can offer precise, AI-generated coding suggestions for adverse events and concomitant medications at up to 99% accuracy. The model can adapt to different scenarios, removing ...

Whether it's designing microchips, advancing machine learning, or keeping the national grid stable, each branch of EEE demands a blend of technical mastery, persistence, and curiosity.

Innovative X-ray technology from Hamamatsu Photonics improves safety standards in food and non-destructive testing through ...

SUTD researchers test a privacy-preserving approach that blends federated learning with cloud coordination for smart grids in ...

Decisions made by AI need to be supervised by a human, as a poor decision or hallucination could result in serious injury.

Putting yourself in a patient’s shoes is embedded in the philosophy of the Bedlam Clinic, a student-run free clinic ...