The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

The rapid integration of AI-driven planning, monitoring, and safety technologies across residential, commercial, and infrastructure projects is propelling the AI in Construction Market toward ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

SALT LAKE CITY--(BUSINESS WIRE)--Sarcos Defense, a subsidiary of Sarcos Technology and Robotics Corporation (“Sarcos”) (NASDAQ: STRC and STRCW), a leader in the design, development, and manufacture of ...

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...

LINCOLNSHIRE, Ill.--(BUSINESS WIRE)-- Zebra Technologies Corporation (NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, today ...

In 2016, an artificial intelligence program called AlphaGo from Google’s DeepMind AI lab made history by defeating a champion player of the board game Go. Now Demis Hassabis, DeepMind’s cofounder and ...

Here are 15 data management and data analytics companies, part of the inaugural CRN AI 100, that are playing an outsized role in AI today. AI needs data–lots of it–to work. Otherwise, the old adage of ...

In this contributed article, Deddy Lavid, CTO of Presenso, offers 5 important questions to ask when considering machine learning managed services, specifically can new technology provide viable ...

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

Correctly distinguishing between related neurodegenerative diseases remains challenging for clinicians, because reliable markers do not yet exist for many disorders. In the July 22 Neurology, ...