Sushira Somavarapu is a data scientist with a passion for addressing difficult issues while creating actionable insights that ...

Pavan Kanchi's journey says it all about an integrated approach-a thorough technical expertise, cross-functional acumen, and a relentless passion for ongoing learning all combined towards the ...

As data centers continue to spring up, so to does the infrastructure to support them — like high-voltage transmission lines.

Meghan Bobrowsky, tech reporter at The Wall Street Journal, has been following Big Tech's bets on data centers and on their ...

The 11th annual Texas A&M Plant Breeding Symposium will be held on Feb. 20 at the Annenberg Presidential Conference Center. The symposium is supported by Corteva, Texas A&M AgriLife, and the Texas A&M ...

This workshop will provide information on recent empirical housing research projects at Statistics Canada and will provide detailed information on key Statistics Canada datasets available in the ...

The second virtual workshop was held in collaboration with Galadari Advocates and Legal Consultants and addressed the critical issue of integrating data privacy provisions into contractual ...

The second virtual workshop was held in collaboration with Galadari Advocates and Legal Consultants and addressed the critical issue of integrating data privacy provisions into contractual agreements ...

USEFUL IDEA FOR YOUR WORKSHOP !!! 'Sugarcane' exposes truths ... Canadians The unhealthiest fast-food sandwich isn't a Big Mac, based on data. See the 10 worst in America. Doctor reveals the ...

Tour guide at former Colorado gold mine fell out of elevator after apparently not latching door Here are the details on the Social Security retirement age changes for 2025 Donald Trump’s data ...

The UCR researchers presented a paper at a recent IEEE big-data workshop, demonstrating a new, unsupervised machine learning approach to find new patterns in the auxiliary channel data of the ...

The UCR researchers presented a paper at a recent IEEE big-data workshop, demonstrating a new, unsupervised machine learning approach to find new patterns in the auxiliary channel data of the ...