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MIT liquid networks
MIT news article

MIT researchers have developed a type of neural network that learns on the job, not just during its training phase. These flexible algorithms, dubbed “liquid” networks, change their underlying equations to continuously adapt to new data inputs. The advance could aid decision making based on data streams that change over time, including those involved in medical diagnosis and autonomous driving.

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self-driving autonomy
CSAIL article

While autonomous cars have gained swift momentum since Leonardo da Vinci’s self-propelled cart circa 1500, the thought of going completely hands-free still feels slightly supernatural. These four-wheelers of the future use a combination of GPS for calculating longitude, latitude, speed, and course to navigate, LiDAR technologies, which use laser light pulses that map surroundings, and machine learning to see and understand -- but to what degree depends on the level of autonomy.  

work of the future
Work of the Future Event of the Year
The 4th annual Congress was a virtual event that featured the final report from the MIT Task Force on the Work of the Future. Hosted by MIT's Task Force on Work of the Future, CSAIL, and Initiative on the Digital Economy, this year's Congress highlighted research findings from the MIT Task Force on Work of the Future's final report released in November 2020. Given the rapidly changing environment brought on by Covid-19, this topic is more important and relevant than ever.
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City of Boston
CSAIL article

In our current and evolving circumstances surrounding the novel coronavirus outbreak, we are advised to avoid sharing rides with other passengers as part of the effort to slow the spread of the disease. As in other markets, these necessary practices are impacting the shared transportation industry. But some businesses are rising to the challenge and rethinking how they use their existing ride-sharing technology to help during the crisis.

computer vision
July 6-10, 2020

Registration Deadline: June 22, 2020. This course covers the latest developments in vision AI, with a sharp focus on advanced deep learning methods, specifically convolutional neural networks, that enable smart vision systems to recognize, reason, interpret and react to images with improved precision.

Member DiscountAlliances members are eligible for a discount for this program. Please log in to view discount instructions.