GeoCue will showcase the new add-ons at Geo Week 2026, where attendees can learn about licensing, see workflow examples and ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

These new AI assistants can analyze design constraints and create custom machine learning models as well as read, import and display point cloud data augmented with AI ...

Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...

Pre-med students in a Biology course measure urban air quality in collaboration with citizen-scientists from the local community; students in a 300-level Business seminar design improvements to a ...

Abstract: This work presents a novel approach to enhancing the accuracy and efficacy of DNA sequence categorization through the use of Machine Learning algorithms. The proposed DNA Sequencing ...

PICATINNY ARSENAL, NJ – Project Manager Soldier Lethality (PM SL) announced today the official Type Classification - Standard (TC-STD) of the U.S. Army’s M7 Rifle and M250 Automatic Rifle, signifying ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Abstract: Bone tumors can be associated with severe health risks. Early detection is one of the most critical aspects of treatment. This project focuses on developing a machine learning approach that ...