In a rapidly expanding digital marketplace, how can we stay on top of rapid - and sometimes radical - change? How can we position our organizations to take advantage of new technologies? How can we track and combat the security threats facing all of us as we are swept forward into the future?
Gareth McKinley Professor of Teaching Innovation in Mechanical Engineering
The digital future is here, and the threat of disruption looms large. In a rapidly expanding digital marketplace, legacy companies without a clear digital transformation strategy are being left behind. COVID-19 crisis has accelerated the transition to a digital future. To succeed companies must embark on the difficult path of digital transformation…and that doesn’t mean creating another app. But what does digital transformation mean for your company and your business? How can we stay on the top of these rapid changes? What challenges have many high-profile companies faced? How can you prepare to succeed in a changing digital climate?
Join the MIT Industrial Liaison Program for a webinar: Rapid Prototyping with MIT Professor Neil Gershenfeld, the director of MIT's Center for Bits and Atoms and Associate Professor Skylar Tibbits, the founder of the Self-Assembly Lab at MIT. This two-hour rapid prototyping online seminar will provide an update on how to make (almost) anything, breaking down boundaries between the digital and physical worlds to Self-Assembly a process by which disordered parts build an ordered structure through only local interaction.
Alan Jasanoff Professor of Biological Engineering, Brain & Cognitive Sciences, Nuclear Science & Engineering
Polina Anikeeva Associate Professor, Materials Science & Engineering, Brain & Cognitive Sciences
John Fernandez Director, Environmental Solutions Initiative Principal Investigator, Urban Metabolism Group
Computing near the sensor is preferred over the cloud due to privacy and/or latency concerns for a wide range of applications including robotics/drones, self-driving cars, smart Internet of Things, and portable/wearable electronics. However, at the sensor there are often stringent constraints on energy consumption and cost in addition to the throughput and accuracy requirements of the application. In this talk, we will describe how joint algorithm and hardware design can be used to reduce energy consumption while delivering real-time and robust performance for applications including deep learning, computer vision, autonomous navigation/exploration and video/image processing. We will show how energy-efficient techniques that exploit correlation and sparsity to reduce compute, data movement and storage costs can be applied to various tasks including image classification, depth estimation, super-resolution, localization and mapping.
In this talk, I will review talk about how research we developed at MIT led to the development of Cambridge Mobile Telematics, the leading provider of technology to help measure and improve driving. I’ll talk about how smartphones can provide a dramatic measure of a driver’s crash risk, and how giving users feedback can cause them to improve their behavior. I’ll also review how the recent spread of COVID-19 has changed people’s driving habits.
The transition to 5G is underway and is realizing the 5G future is viewed by many as essential to sustain national competitiveness and as an essential infrastructure platform for supporting Smart-X, where X may be replaced with healthcare, greener energy grids, transport systems, supply chains, etcetera. But separating the hype from reality is challenging, in part, because 5G is part of a horizon vision that has the potential to significantly alter the fundamental economics that have characterized the evolution of mobile networking through its first four generations. None of today's 5G offerings nor those that will be available in the next few years will deliver the full complement of 5G promised performance improvements, and many analysts are skeptical that those performance improvements are really needed. Key implications of realizing the 5G promise are the need to transition toward more localized and granular control of network resources and increased converged/shared ownership of core resources, but how these may be managed and who will bear responsibility for the investment leaves the implications for the competitive landscape for wireless infrastructure services uncertain. While the incumbent mobile network operators (MNOs) are likely to continue to lead the drive toward 5G, their role in the wireless ecosystem may change significantly. This talk will focus on highlighting an economists' perspective on what 5G, viewed as a horizon vision, may mean for the evolution of wireless broadband networking and the disruptive potential that vision portends.