Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Hosted on MSN
Tracking your EV, solar, and energy use with machine learning - Sense smart home interview
In this interview with Mike Phillips, CEO of Sense, learn how machine learning is utilized to track electric vehicle (EV) usage, solar energy, and overall energy consumption. Discover how this ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Google is testing a machine learning-powered tech in the U.S. to determine the age of users and filter content across all its products accordingly. The company said it will consider data from Google ...
1 School of Information Engineering, Huzhou University, Huzhou, China 2 Key Laboratory of Artificial Organs, Computational Medicine in Zhejiang Province, College of Information Science and Technology, ...
Introduction: Pigmented rice is fascinated by consumers for its abundant phytochemicals and unique aroma. Methods: In this study, GC–MS-based metabolomics of Yangxian colored rice varieties were ...
More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...
Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback