Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

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

AI-based security detection automates the analysis of large, complex data sets to uncover threats in real time. These systems not only flag potential risks but can also trigger automated response ...

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

AI is transforming oncology by improving early detection, diagnosis, and treatment personalization through advanced data ...

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

TinyML / Edge AI, ESP32-CAM camera interfacing, Edge Impulse workflow, Image classification & object detection on ...

There is a rise in cybersecurity threats in today’s rapidly changing digital landscape. Organizations have struggled to safeguard sensitive data and ...