professor


A deep dive into research

MIT News

Estay Forno is one of more than 140 undergraduate students from across the School of Engineering who took part in the Advanced Undergraduate Research Opportunities Program (SuperUROP) this year. This year's SuperUROP program included students from the departments of Aeronautics and Astronautics, Biological Engineering, Chemical Engineering, and Civil and Environmental Engineering as well as from EECS. Moses recounts that the course professors -- Anantha Chandrasakan, the Vannevar Bush Professor of Electrical Engineering and EECS department head; Dennis (Denny) Freeman, the dean for undergraduate education; and Dina Katabi, the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science -- wanted students to gain these skills because they would "be important wherever we go," Moses says. Another mentor, postdoc Rabia Tugce Yazicigil, helped EECS senior Daniel Richman understand how to approach research, a process that can be as disorienting as wandering in a forest.


From the NFL to MIT: The Double Life of John Urschel

MIT Technology Review

As a result, Urschel has been profiled in Sports Illustrated and the Washington Post and featured on HBO's Real Sports; written columns (featuring math puzzles) for The Players' Tribune; and even appeared in a nationally broadcast television commercial last season for Bose headphones, along with J.J. Watt, the superstar defensive end of the Houston Texans. But why is a highly paid pro football player grinding through problems in the math study room? Those papers cover areas such as spectral graph theory and feature titles like "Spectral Bisection of Graphs and Connectedness"--which appeared in Linear Algebra and Its Applications in the spring of 2014, around the time the Ravens drafted him. Despite the extraordinary degree of commitment required to play football at his level, Urschel remains fully committed to pursuing math at the highest level, too, Zikatanov says.


shrinking-data-for-surgical-training

Robohub

For this research, MGH surgeons identified seven distinct stages in a procedure for removing part of the stomach, and the researchers tagged the beginnings of each stage in eight laparoscopic videos. "We wanted to see how this system works for relatively small training sets," Rosman explains. "If you're in a specific hospital, and you're interested in a specific surgery type, or even more important, a specific variant of a surgery -- all the surgeries where this or that happened -- you may not have a lot of examples." In this case, the system had to learn to identify similarities between frames of video in separate laparoscopic feeds that denoted the same phases of a surgical procedure.


The Double Life of John Urschel

MIT Technology Review

As a result, Urschel has been profiled in Sports Illustrated and the Washington Post and featured on HBO's Real Sports; written columns (featuring math puzzles) for The Players' Tribune; and even appeared in a nationally broadcast television commercial last season for Bose headphones, along with J.J. Watt, the superstar defensive end of the Houston Texans. But why is a highly paid pro football player grinding through problems in the math study room? Those papers cover areas such as spectral graph theory and feature titles like "Spectral Bisection of Graphs and Connectedness"--which appeared in Linear Algebra and Its Applications in the spring of 2014, around the time the Ravens drafted him. Despite the extraordinary degree of commitment required to play football at his level, Urschel remains fully committed to pursuing math at the highest level, too, Zikatanov says.


Story of Anima Anandkumar, the machine learning guru powering Amazon AI

#artificialintelligence

Our Techie Tuesdays protagonist of the week, Anima has worked towards establishing a strong collaboration between academia and industry. Anima worked on solving this problem of tracking end to end service level transactions. She wanted to design learning algorithms that can process at scale and make efficient inferences about the underlying hidden information. When Anima joined UC Irvine as a faculty, that time was the beginning of the big data revolution.


Is Artificial Intelligence Finally Coming into Its Own?

#artificialintelligence

In March the company bought a startup cofounded by Geoffrey Hinton, a University of Toronto computer science professor who was part of the team that won the Merck contest. Extending deep learning into applications beyond speech and image recognition will require more conceptual and software breakthroughs, not to mention many more advances in processing power. Programmers would train a neural network to detect an object or phoneme by blitzing the network with digitized versions of images containing those objects or sound waves containing those phonemes. A team led by Stanford computer science professor Andrew Ng and Google Fellow Jeff Dean showed the system images from 10 million randomly selected YouTube videos.


2017-04 Putting AI to Work

#artificialintelligence

While the poster child of AI, the fully autonomous vehicle, is still five or more years out on the horizon, there are many implementations of AI that are available today or will be within the next year or so. AI technologies and AI-driven products are enabling new services never possible before, providing deep business intelligence, automating work, and cutting costs. This panel will focus on how firms are implementing or how they expect to implement AI, including effectiveness, stage of adoption, and benefits, as well as the potential impacts on unemployment and society. Joi Ito, Director, & MIT Professor of the Practice(@joi), MIT Media Lab will moderate the panel, including: Seth Earley (@sethearley), CEO, Earley Information Science Prof. Josh Tenenbaum (#JoshTenenbaum), Professor, Department of Brain and Cognitive Sciences, MIT Ryan Gariepy (@ottomotors), CTO & Co-Founder, Clearpath & OTTO Motors Ali Azarbayejani, SB '88, SM '91, PhD '97 (#AliAzarbayejani), CTO, Cogito Corporation


Meet the Chinese finance giant that's secretly an AI company

#artificialintelligence

It shows how the company--which already operates a hugely successful smartphone payments business in China--aims to upend many areas of personal finance using machine learning and AI. The e-commerce giant Alibaba created Ant in 2014 to operate Alipay, a ubiquitous mobile payments service in China. It has become possible to automate this kind of image processing in recent years using a machine-learning technology known as deep learning. Once there, he developed Alibaba's first voice-recognition system for automating customer calls.


Looking to the human brain to improve artificial intelligence

#artificialintelligence

This process has not been well-understood and the lack of clarity is one of the barriers to replicating this process in computer systems, where the aim is to advance artificial intelligence systems. This area receives connections from the thalamus, which is in the primary visual cortex (or Visual area one). As Professor Tatyana Sharpee explains: "Understanding how the brain recognizes visual objects is important not only for the sake of vision, but also because it provides a window on how the brain works in general." Finally, combined with the similarly oriented neurons, the brain pieces together the information to create a scene.


Why UX Design For Machine Learning Matters

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Machine learning refers to different kinds of algorithms that learn from inputs like human interaction or data and create evolving feedback over time from that input. It can use preexisting data to create predictions or create new kinds of connections or pattern within data sets. Machine learning creates opaque and hard to understand systems using data and technology. It can be hard to predict results from machine learning, especially if there isn't a lot known about the data set or the algorithm being used.