Parallel and Distributed Deep Learning

On the 3-November-2022 at 11:00 a.m. the 16th lecture of the Living Lab lecture series will take place. In this talk, ScaDS.AI scientific researcher Andrei Politov will talk about Parallel and Distributed Deep Learning. Add this event to your calendar (iCal).

Parallel and Distributed Deep Learning

Deep Learning technologies are a fast-growing area of Machine Learning. These technologies have been used in many promising industry projects and scientific research, which has allowed machine learning to develop widely in recent years. Effectiveness and utilization of the power of modern computers are one of the core challenges that Deep Learning faces. However, Deep Learning models have inherent parallelism. Exploiting and applying this parallelism to hardware is one of the most exciting and important research directions that researchers of these models face. In the lecture a variety of topics in the context of parallelism and distribution in Deep Learning will be discussed.

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Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

Find out more about our Living Lab Lecture Series!

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut