eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Platform-Independent Classification System to Predict Molecular Subtypes of High-Grade Serous Ovarian Carcinoma Although the bulk of patient-generated health data are increasing exponentially, their ...

Google LLC is rolling out a number of tools for developers to build machine learning and artificial intelligence into their applications using high-performance AI models and solutions. At Google I/O, ...

Many forward-thinking companies have been evaluating and/or deploying predictive analytics, generative AI applications and machine learning for some time now. Almost all of them will tell you that ...

However, by the late 1970s, there was disappointment that the two main approaches to computing in medicine — rule-based systems and matching, or pattern recognition, systems — had not been as ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

The U.S. Patent and Trademark Office has issued SRC Inc. and inventor Sean O’Hara a patent for “Data Management and Bootstrapping Processing for Machine Learning and Classification Development,” a ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data to ...