Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

In parallel, researchers have developed efficient reduction rules and fixed-parameter algorithms that address NP-complete aspects of computing convexity parameters in various graph structures ...

MIT granted tenure to 11 faculty members across the School of Engineering. This year's tenured engineers hold appointments in ...

Artificial intelligence enhances diagnosis and monitoring of nystagmus through innovative real-time data analysis and remote accessibility.

When AI agents become ubiquitous, network traffic is going to go soar. Many organizations don't have the necessary infrastructure in place.

Rethinking System Migration from the Ground Up Often monolithic and poorly documented, legacy systems hinder integration with modern, cloud-native tech. The Zero-Touch concept leverages AI to ...

Using an exclusive-read and exclusive-write (EREW) parallel random-access memory (PRAM) model with a fixed number of processors, optimal parallel algorithms are presented for several problems on ...

Artificial intelligence is playing an increasingly vital role in modern medicine, particularly in interpreting medical images to help clinicians ...

Researchers developed an AI-powered platform that uses real-time video analysis and deep learning to diagnose vestibular disorders remotely.

FAU's innovative deep learning model offers accurate, real-time nystagmus diagnosis, optimizing telehealth and improving patient outcomes in remote areas.