This is a past event
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Science Center, E110 Lipton
  • Open to the Public

The success of data science endeavors hinges not only on sophisticated algorithms and analysis for scientific and societal questions, but also on the efficient utilization of hardware resources.  In the past decade, a diverse array of hardware solutions have emerged from both major technology companies like Google, NVIDIA, Microsoft, and Amazon, as well as start-ups and academic projects.  These solutions are designed to accelerate data processing, with a particular focus on enhancing the speed and efficiency of machine learning applications.  Come along and take a tour of the myriad available and emerging hardware solutions for enabling efficient and effective future data science.  This talk will explore recent and near-future advancements and provide insights into how and when you can harness their power for your own work.

Contact Info

Matteo Riondato
(413) 542-5826
Please call the college operator at 413-542-2000 or e-mail info@amherst.edu if you require contact info @amherst.edu