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 ...

If you want to spoil a sailor's day, then a ship collision is the way to do it. That's why Texas A&M University has come up ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.

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 ...

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

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 ...

When you're a home improvement specialist with thousands of outlets throughout the US, it can be tough to keep track of products across stores and warehouses. Add in the complication of Black Friday ...

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 ...

Supervised machine learning uses labeled data to teach algorithms pattern recognition. It improves prediction accuracy in industries like finance and healthcare. Investors can gauge a company's ...

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