The study, titled “Performance Differentials in Deployed Biometric Systems Caused by Open-Source Face Detectors,” examined ...

As the science community’s focus on climate change and adaptation continues to grow, research fellows are playing a pivotal ...

In an increasingly digitized world, anonymity, encryption, and global connectivity have emboldened cybercriminals, made locating missing persons harder, and allowed debtors to obscure their tracks.

Innovations like self-supervised learning, federated anomaly detection, and neuromorphic computing promise greater strides.

In this research, we put forward an architecture that combines recent deep learning algorithms with geometry techniques to create robust models that can handle aspects like detection, tracking and ...

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...

Using machine learning (ML) and AI, NLP tools analyze text or speech to identify context, meaning, and patterns, allowing computers to process language like humans do.

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

Unlike frameworks that use static computation graphs, PyTorch uses a dynamic computation graph, allowing for real-time model changes, easier debugging, and faster prototyping, making PyTorch ...