Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, and supports sustainable manufacturing.

Microsoft’s investigation into RedVDS services and infrastructure uncovered a global network of disparate cybercriminals ...

ArticlesEmoji TypesAre there any hidden definitions trailing the brand new Kyrie image?The newest Impact of Statistics for ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Among clean energy sources, hydrogen (H2) has emerged as the preferred energy carrier, boasting a high calorific value and ...

Bacteriophages have been used therapeutically to treat infectious bacterial diseases for over a century. As ...

By rethinking how thin metal threads are woven into a flexible textile, EPFL researchers have created a lightweight fabric ...

Raspberry Pi sent me a sample of their AI HAT+ 2 generative AI accelerator based on Hailo-10H for review. The 40 TOPS AI ...

ADC conjugation, redefined. Explore a rapid 3-hour workflow that delivers precise, controlled antibody-drug conjugates for ...

Exosome-associated THSD7A is identified as a key trigger of filopodia formation in cancer cells and neurons, revealing a ...

Background Foodborne diseases are an important cause of global morbidity and mortality, particularly among children who often ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...