High-value assets including domain controllers, web servers, and identity infrastructure are frequent targets in ...

Abstract: The explosive growth of the Internet of Things (IoT) has introduced vast amounts of data and unprecedented security challenges, making effective anomaly detection in IoT environments a ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment ...

Successful demonstration and positive customer feedback support continued engagement with rail operators in IndiaRa’anana, Israel, March 16, ...

Sand has a memory of sorts. Press into a loose pile of dry grains and something moves, not just where your finger sits, but ...

Farming is changing from manual, experience-led observation to data-driven decision-making powered by advanced sensing systems and artificial intelligence. A new research paper titled “Fast Forward ...

Andres B. Sanchez Alvarado participated in research into combining spectroscopy and ML to analyze complex samples, which has a patent pending. Across the U.S., hundreds of sites on land or in lakes ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Betting companies train machine learning programs to monitor players’ behaviour. AI technologies seem to have been integrated into every corner of our lives. Most businesses have jumped on the ...