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MIT/ILP Calendar Event

Designing Efficient Deep Learning Systems - March session

March 27-28, 2019

Overview

Deep learning is widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, robotics, etc. While deep learning delivers state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Accordingly, designing efficient hardware systems to support deep learning is an important step towards enabling its wide deployment, particularly for embedded applications such as mobile, Internet of Things (IOT), and drones.

Who Should Attend
This course is designed for research scientists, engineers, developers, project managers, startups and investors/venture capitalists who work with or develop artificial intelligence for hardware and systems, as well as mobile or embedded applications:

* For project managers and investors/venture capitalists whose work involves assessing the viability or potential impact of a deep learning system and selecting a research direction or acquisition, this course aims to provide an overview of the recent trends as well as methods to assess the technical benefits and drawbacks of each approach or solution based on a comprehensive set of metrics.
* For research scientists and engineers whose work involves designing and building deep learning systems, this course aims to provide an overview of the various state-of-the-art techniques that are being used to address the challenges of building efficient deep learning systems.
* For startups and developers whose work involves developing deep learning algorithms and solutions for embedded applications and systems, this course aims to provide the insights necessary to select the best platform for your goals and needs. It will also highlight techniques that can be applied at the algorithm level to improve the energy-efficiency and speed of your proposed solution.

Location

Mountain View, CA USA

This course will be held at Samsung Research America, 665 Clyde Ave, Mountain View, CA 94043

Registration

FOR FURTHER INFORMATION OR TO REGISTER, CONTACT:

MIT Professional Education - Short Programs
238 Main Street, Suite 401
Cambridge, MA 02139
TEL: 617 253 2101 * FAX: 617 258 8831
e-mail: shortprograms@mit.edu

ILP members receive a 15% discount on all MIT Professional Education open enrollment programs held in Massachusetts. ILP members receive a 15% discount on all MIT Professional Education courses. To obtain the discount code, click here (you must be signed in to this website as an ILP member to access the code).