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For more than a half century, the United States has operated what might be called a “Miracle Machine.” Powered by federal investment in science and technology, the machine regularly churns out breathtaking advances...
While great strides have been made in using deep learning algorithms to solve supervised learning tasks, the problem of unsupervised learning—leveraging unlabeled examples to learn about the structure of a domain — remains a difficult unsolved challenge.
On Friday, May 5, 2017, Prof. Erik Brynjolfsson (MIT Sloan School) will discuss a preliminary framework and approach for understanding the potential effects of machine learning (ML) on tasks, occupations and industries.
In the past 10 years, the best-performing artificial-intelligence systems — such as the speech recognizers on smartphones or Google’s latest automatic translator — have resulted from a technique called “deep learning".
The complexity of a learning task is increased by transformations in the input space that preserve class identity. Visual object recognition for example is affected by changes in viewpoint, scale, illumination or planar transformations. ...
Amnon Shashua PhD ’93, co-founder of Mobileye, discusses challenges associated with autonomous vehicles in MIT visit. | MIT News - Around Campus | April 13, 2017
On Wed., April 12, 2017, David S. Vogel, an award-winning predictive modeling scientist, will discuss state-of-the-art machine learning techniques and the application of the these techniques to healthcare, recommendation systems, and finance.
Previous theoretical work on deep learning and neural network optimization tend to focus on avoiding saddle points and local minima. However, the practical observation is that, at least for the most successful Deep Convolutional Neural Networks (DCNNs)...
The goal in this work is to model the process of ‘full interpretation’ of object images, which is the ability to identify and localize all semantic features and parts that are recognized by human observers. The task is approached by dividing the ...
The paper reviews and extends an emerging body of theoretical results on deep learning including the conditions under which it can be exponentially better than shallow learning. A class of deep convolutional networks represent an important special case...
Prof. Amnon Shashua, Co-founder, CTO and Chairman of Mobileye, talks about the machine learning technology behind Mobileye's success in the field of autonomous driving.
"Intel agreed on Monday to pay $15.3 billion for Mobileye, an Israeli technology company that specializes in making sensors and cameras for autonomous cars, as the global microchip giant tries to expand its reach in the fast-growing sector."
Prof. Jacob Feldman (Rutgers) will be speaking on Friday, April 7, 2017.
On March 23, 2017, select academic and industry leaders will convene at CBMM to provide guidance, advice, and direction for all of the Center's activities, consistent with its vision, goals, and objectives.
How we may be able to replicate intelligence in machines, and how the brain produces intelligent behavior- is one of the greatest challenges in science and technology. There are many aspects of human intelligence which have been impossible so far to...