RadAnalyzer app delivers consistent, reliable radiograph analysis — offering veterinarians a powerful aid for detecting canine heart enlargement and guiding timely treatment.

A $24.9M grant will fund a Materials Innovation Platform where universities, national laboratories and industry members can run alloy-discovery campaigns using robotic systems and artificial intelligence.

New research suggests understanding how people respond differently to artificial intelligence could help organizations build more effective AI strategies.

A Texas A&M researcher is studying whether immersive simulations can help prevent workers from becoming desensitized to jobsite hazards.

Experts say organizations must help employees adapt as artificial intelligence transforms jobs and workplace skills.

Study links chatbot dishonesty and incompetence to user discomfort, reveals simple fix.

With thousands of chemicals untested for safety, scientists turn to artificial intelligence to forecast toxicity — and reveal how much those predictions can be trusted.

Researchers have analyzed common causes of fires in data centers and identified ways to mitigate the growing risk.

Texas A&M researchers are using mobility data to learn when, where and how anglers fish, opening the door to more sustainable management.

Developed by a surgeon and Texas A&M School of Engineering Medicine students, the Vasculator allows surgeons to input patient symptoms to generate risk assessments.