professor


New leadership for MIT-IBM Watson AI Lab

MIT News

An expert in computer vision, machine learning, and human visual perception, Torralba is a professor in the Department of Electrical Engineering and Computer Science and a principal investigator at the Computer Science and Artificial Intelligence Laboratory. "As the inaugural MIT director of our collaboration with IBM, Antonio will closely collaborate with IBM leadership and lab researchers to design and implement the lab's ambitious research agenda," said Chandrakasan, who is also the Vannevar Bush Professor of Electrical Engineering and Computer Science. "I am delighted by the appointment of Antonio Torralba as MIT director of the MIT-IBM Watson AI Lab," said Dario Gil, vice president of AI and IBM Q at IBM Research, who, along with Chandrakasan, oversees the MIT-IBM collaboration. Torralba and the IBM director will lead the MIT-IBM Watson AI Lab, a $240 million investment by IBM in AI efforts over the next 10 years, with $90 million dedicated to supporting MIT research.


Sensitive robots can tell your gender from a handshake

Daily Mail

First results show a robot is capable of inferring someone's gender and personality in 75 per cent of cases simply by shaking hands (stock image) First results show that a robot is capable of inferring someone's gender and personality in 75 per cent of cases simply by shaking hands. The ENSTA research team have developed robots that can detect emotions and change their behaviour accordingly. The ENSTA robots detect emotions and change their behaviour accordingly. First results show a robot is capable of inferring someone's gender and personality in 75 per cent of cases simply by shaking hands.


Facial Recognition Is Only the Beginning: Here's What to Expect Next in Biometrics on Your Phone

MIT Technology Review

Apple says its version of the technology, called Face ID and available when the phone ships in November, uses a suite of sensors to map your face in 3-D. An infrared light illuminates your face, and a projector projects an array of infrared dots at it. Anil Jain, a Michigan State University professor who studies biometric recognition and computer vision, notes that it uses an existing tactic called structured light to capture your visage in three dimensions--something he employed for object recognition back in the 1980s. Beyond the work the company has done to keep the wrong people out of the phone, Apple claims that Face ID will let the right person in even in the dark, while wearing glasses or a hat, and after growing a beard. Jain says it's conceivable that smartphones will eventually include sensors for face, iris, and fingerprint recognition--a rarity now.


Udacity announces 'flying car' nanodegree, new partnership with Lyft

ZDNet

The online education company Udacity on Tuesday unveiled a "flying car" nanodegree program, offering students "the skills to create autonomous flight vehicles that will be crucial to the transportation systems of the future." The two-term program will open in early 2018, with a curriculum designed by aerospace and autonomous systems experts, including Nicholas Roy, the MIT Aeronautics professor and founder of Alphabet's Project Wing; Raffaelo D'Andrea, ETH Zurich professor and co-founder of Kiva Systems; Angela Schoellig, University of Toronto Institute Aerospace professor; and Udacity founder Sebastian Thrun. "Our goal is to teach a new generation of engineers the skills necessary to build this smart transportation future," Roy wrote in a blog post. The curriculum will first focus on the basics of autonomous flight, Roy wrote, including motion planning, state estimation, control, and perception.


Minds and Machines

#artificialintelligence

A few months ago, Andy McAfee and Erik Brynjolfsson published Machine, Platform, Crowd: Harnessing Our Digital Future, - their third book on the impact of the 21st century digital revolution on the economy and society, - following the publication of The Second Machine Age in 2014 and Race Against the Machine in 2011. The book is organized into three sections, each focused on a major trend that's reshaping the business world: the rapidly expanding capabilities of machines; the emergence of large, asset-light platform companies; and the ability to now leverage the knowledge, expertise and enthusiasm of the crowd. The Deep Mind team trained AlphaGo using deep learning algorithms, which are partly modeled on the way a young child learns a human language: by listening, speaking, repetition and feedback. Deep learning is part of the broad class of machine learning systems that enable computers to acquire capabilities by ingesting and analyzing large amounts of data instead of being explicitly programmed, - thus getting around Polanyi's pervasive paradox.


Analyzing the language of color

MIT News

In a new study, MIT cognitive scientists have found that languages tend to divide the "warm" part of the color spectrum into more color words, such as orange, yellow, and red, compared to the "cooler" regions, which include blue and green. Every language has this amazing similar ordering of colors, so that reds are more consistently communicated than greens or blues," says Edward Gibson, an MIT professor of brain and cognitive sciences and the first author of the study, which appears in the Proceedings of the National Academy of Sciences the week of Sept. 18. Furthermore, chips that people tend to label consistently with just one word have a low surprisal rate, while chips that different people tend to label with different words have a higher surprisal rate. "In all languages, people preferentially bring color words into the warmer parts of the space and they don't bring them into the cooler colors."


Ad-Tech Exec: Data Standards Too Static, Old-World

#artificialintelligence

Israel has become a hotbed for artificial intelligence, integrating AI with data and a variety of platforms such as search, email and programmatic to support advertisers. Rubinstein believes today's data standards are archaic, so he's tapped three professors to make a change in the industry. Data & Programmatic Insider: What is the future of AI for data targeting and programmatic ad serving? Rubinstein: I read a lot of books about history, like the history of the Jewish people and the Holocaust.


Facebook's New Lab Bolsters Montreal's Bragging Rights As An AI Hub

@machinelearnbot

On Friday, the social networking giant is announcing the opening of a new AI research lab, its fourth, in the Canadian city. Led by Joelle Pineau, an expert in the areas of dialogue systems and reinforcement learning, and a professor at McGill University in Montreal, the lab is expected to grow from an initial team of 10–including interns–to about 30 within a couple of years. Among those behind Montreal's emergence as a leader in AI research is University of Montreal professor and director of the school's Montreal Institute for Learning Algorithms Yoshua Bengio, a pioneer in deep learning. Facebook is expecting that her particular areas of expertise, reinforcement learning and dialogue systems, will play an important role in accelerating the company's ground-breaking work in virtual assistants and dialogue agents.


New Draft Principles of AI Ethics Proposed by the Allen Institute for Artificial Intelligence and the Problem of Election Hijacking by Secret AIs Posing as Real People

#artificialintelligence

The latest draft principles come from Oren Etzioni, the CEO of the Allen Institute for Artificial Intelligence. Below is the new material about the Allen Institute's proposal that we added at the end of the AI-Ethics.com Oren Etzioni, a professor of Computer Science and CEO of the Allen Institute for Artificial Intelligence has created three draft principles of AI Ethics shown below. It involved a teacher at Georgia Tech named Jill Watson. Many humans are being fooled every day by bots posing as real people and creating fake news to manipulate real people.


The Reason Secretive Apple Is Opening Up on Artificial Intelligence

@machinelearnbot

JL Tripp Mickle reports in the Wall Street Journal: The battle for artificial-intelligence expertise is forcing Apple Inc. AAPL 1.01% to grapple with its famous penchant for secrecy, as tech companies seek to woo talent in a discipline known for its openness. "We come from a community where we share ideas and get credit for it and a lot of us would be very unhappy to give that up," The battle for artificial-intelligence expertise is forcing Apple Inc. AAPL 1.01% to grapple with its famous penchant for secrecy, as tech companies seek to woo talent in a discipline known for its openness. Apple launched a public blog in July to talk about its work, for example, and has allowed its researchers to speak at several conferences on artificial intelligence, including a TED Talk in April by Tom Gruber, co-creator of Apple's Siri voice assistant, that was posted on YouTube last month. "You can have quantity, but producing high quality research is very important," he said.Microsoft Research, Google and Facebook AI Research each have published more than 100 papers on artificial intelligence topics since January.