The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...

The study, titled Artificial Intelligence Methods for Unmanned Aerial Vehicles Cybersecurity: A Comprehensive Survey and ...

AI technologies act as a double-edged sword, with Machine Learning AI technologies enabling more sophisticated, rapid cyberattacks (including AI-driven ...

Researchers developed an AI-assisted nanotweezer platform that rapidly traps thousands of milk-derived extracellular vesicles ...

Researchers developed DeepTYLCV, an AI model that predicts the severity of tomato yellow leaf curl virus from genome data, ...

A CBBL research team led by Professor Balachandran Manavalan from the Department of Integrative Biotechnology at Sungkyunkwan University has developed DeepTYLCV, an accurate and interpretable ...

A skin-like computing patch could give wearable health devices something they have long lacked, instant judgment. By running ...

For many people today, botanical knowledge doesn’t go much beyond daisies, buttercups, and dandelions. But an app is changing ...

Insurance fraud, unfortunately, is inevitable. A certain amount of fraud is priced into the product. The goal for insurers is to find the right balance ? focusing on fraud prevention for the biggest ...

Medical imaging has become one of the most critical pillars of modern healthcare to provide insights into diagnosis, treatment planning, and disease management. However, the very success of imaging ...

Frontier LLMs are evolving away from the dense and homogeneous AI workloads that originally favored GPU architectures.

Indian data scientist Sohong Dhar is quietly reshaping AI and cybersecurity by uniting behavioural analytics, adaptive ...