If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Another area where machine learning is making significant strides is in content accessibility. Auto transcription services employed by platforms like Slack and YouTube convert spoken language into ...

Ali Abedi (center) and the wireless soil moisture sensor with graduate student Kenneth Bundy (left) and local high school teacher Ed Lindsey (right). Monitoring soil moisture is an important component ...

Today at the Society of NeuroInterventional Surgery's (SNIS) 20th Annual Meeting, researchers discussed a smartphone app created that reliably recognizes patients' physical signs of stroke with the ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Machine learning has been used to create value in various ways across a broad swath of industries. In this case, students will explore uses for machine learning in the context of the launch of the ...

Higher education is awash in data. Whether it’s the indicators the college rankings industry uses to compare institutions, the metrics faculty and administrators employ to gauge the importance of ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...