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One of a Series: MIT Holidays

MIT Closed - Day before Christmas

December 24, 2018

One of a Series: MIT Holidays

MIT Closed - Christmas Day

December 25, 2018

One of a Series: MIT Holidays

MIT Closed - Day before New Year's

December 31, 2018

One of a Series: MIT Holidays

MIT Closed - New Year's Day

January 1, 2019

Leadership & Innovation for Technology Professionals

January 7 - March 4, 2019

In Leadership & Innovation for Technology Professionals, MIT’s Dr. David Niño helps participants harness the kinetic energy of leadership, empowering them to lead with self-awareness and creativity—the essential building blocks for innovative teams, cultures, and organizations.

Program Benefits
This course supports the development of highly self-aware leaders with the skills and knowledge required to inspire creativity and nurture innovation that improves individual, team and organizational performance and competitive positioning.

Understand how leadership enables innovation by building strategies, structures and cultures that support creativity

Recognize the links between creativity—a new or useful idea—and innovation, as well as how to execute and adopt creative ideas

Reframe the importance of identifying and defining problems to spur creativity and enable innovation

Increase self-awareness of personal leadership style and its effects on group creativity and innovation that delivers results

Strengthen leadership skills to create sustainable, innovative teams and cultures

Increase effectiveness in building and leading high-performing teams

Articulate visions that inspire others to unleash motivations central to successful innovation


Gain expertise in creating innovative teams and cultures that enable bold transformation

Increase organizational capacity to make sense of—and effectively leverage—rapid change

Establish a cadre of highly self-aware leaders with the skills and knowledge to lead high-performing, innovative teams and departments

One of a Series: MIT Holidays

MIT Closed - Martin Luther King, Jr. Day

January 21, 2019

Designing Efficient Deep Learning Systems - March session

March 27-28, 2019

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.

One of a Series: MIT Holidays

MIT Closed - Patriots' Day

April 15, 2019