Machine Learning in the Media
BrainHubSM: Harnessing the technology that helps the world explore brain and behavior.
Pittsburgh Post-Gazette article, August 26, 2014
Yahoo! LABS partners with CMU for $10 million Machine Learning initiative
Pittsburgh Post-Gazette article, February 12, 2014
InMind Project on "Our Region's Business" video, March 17, 2014
PBS "Brains on Trial with Alan Alda"
Features the "Mind Reading" research of Marcel Just and Tom Mitchell
September 18, 2013
Smarter Than You Think
A New York Times series examines the recent advances in artificial intelligence and robotics and their potential impact on society and features the NELL project.
Read the NY Times article
September 14, 2013
NELL is a Computer that Reads the Web with help from Tom Mitchell, William Cohen and their Research Team
The project is a bundle of advanced computers and machine-learning algorithms called the Never-Ending Language Learner, or NELL for short.
Read the NY Times article
March 11, 2013
Tom Mitchell & Marcel Just featured on NOVA ScienceNOW
The Nov. 14 episode of NOVA ScienceNOW, "What Will the Future Look Like?," will feature a report on thought identification research by Tom Mitchell, head of the Machine Learning Department and Marcel Just, professor of psychology. Read the News Brief
November 14, 2012
Pittsburgh Magazine's 40 under 40 Winner
Kamal Nigam, Adjunct Faculty in the Machine Learning Department and Engineering Director of Google Pittsburgh, is one of the 40 under 40 winners from Pittsburgh Magazine. The winners were chosen because they make Pittsburgh a better place to live, work and play. Kamal's video Pittsburgh Magazine article
October 25, 2011
CMU Research Finds Regional Dialects Are Alive and Well on Twitter
Slang Terms Like Y'all, Yinz, Koo, Coo and Suttin Predict Location of Tweet Authors. Microbloggers may think they're interacting in one big Twitterverse, but researchers, Jacob Eisenstein, Eric Xing, Noah Smith and Brendan O'Connor, at Carnegie Mellon University's School of Computer Science find that regional slang and dialects are as evident in tweets as they are in everyday conversations. NPR interview News Release
January 18, 2011
Meet NELL. See NELL Run, Teach NELL How To Run (DEMO, TCTV)
A computer that teaches itself. That's the idea behind NELL - the Never-Ending Language Learner. ML Professor and Department Head, Tom Mitchell leads the team of Carnegie Mellon scientists creating this one-of-a-kind computer system that's learning how to read the web. Tech Crunch Interview
October 9, 2010
Aiming to Learn as We Do, a Machine Teaches Itself
The Never Ending Language Learning (NELL) project, headed by Tom Mitchell, chair of the Machine Learning Department, is featured in the Oct. 5 issue of the New York Times. The story by Steve Lohr is part of the newspaper's series on artificial intelligence, "Smarter Than You Think." NELL has been running 24/7 since the beginning of the year, constantly reading Web pages and extracting more than 390,000 facts to date, as it attempts to "learn as humans do." New York Times Article
October 4, 2010
The 100 Most Creative People in Business 2010
Luis von Ahn, Assistant Professor of Computer Science, founder of reCaptcha, is No. 56 on Fast Company's list of the 100 Most Creative People in Business 2010. For more visit http://www.fastcompany.com/100/2010
May 28, 2010
Researcher Says Privacy Concerns Could Limit Benefits From Real-Time Data Analysis.
Society will be unable to take full advantage of real-time data analysis technologies that might improve health, reduce traffic congestion and give scientists new insights into human behavior until it resolves questions about how much of a person's life can be observed and by whom, a Carnegie Mellon University computer scientist contends in a commentary published Friday in the journal science. News Release and Post-Gazette article. ML faculty and Department Head, Tom Mitchell will talk about "Data Mining in the Mobile World" with host Ira Flatow today on "NPR's "Science Friday," which airs from 2 to 4pm.
December, 18, 2009
"60 Minutes" Features Carnegie Mellon Thought Identification Experiments
Research by Tom Mitchell, chair of the Machine Learning Department, and Marcel Just, professor of Psychology, on the use of brain scans to identify thoughts was featured on the Jan. 4th episode of CBS News "60 Minutes." The computer algorithms developed by Mitchell and Just have provided new insight into how the brain encodes meaning. See correspondent Lesley Stahl's report here.
The work also was the subject of a front-page story in the Jan. 4th issue of the Pittsburgh Post-Gazette, http://www.post-gazette.com/pg/09004/939506-115.stm.
January 4, 2009
20 Best Brains Under 40
Discover magazine's December cover story features the "50 Best Brains in Science" and the editors have included Luis von Ahn, assistant professor of computer science. For more: http://discovermagazine.com/2008/dec/20-best-brains-under-40
November 20, 2008
The Information Wrangler
Carlos Guestrin Named One of Popular Science’s “Brilliant 10”! Carlos Guestrin, assistant professor of machine learning and computer science, is the latest Carnegie Mellon faculty member to be named to Popular Science’s “Brilliant 10,” the magazine’s annual list of top young scientists. The Brilliant 10 are featured in the November issue of the magazine, which is now on newsstands. http://www.popsci.com/gregory-mone/article/2008-10/information-wrangler-0
October 14, 2008
"NextWorld" Series on Discovery Channel
James Kuffner, associate professor of robotics, and Seth Goldstein, associate professor of computer science, are being featured in two episodes of the Discovery Channel series "NextWorld," which airs new programs at 8 p.m. each Wednesday. The "Future Intelligence" episode, which premiered Aug. 13, 2008, included segments on Kuffner's work on motion planning for humanoid robots and Goldstein's work on Claytronics programmable matter. Both also will appear in the "Extreme Tomorrow" episode, now slated to air Aug. 27, 2008.
August 8, 2008
Instant-Messagers Really Are About Six Degrees
Jure Leskovec in the news! ML PhD candidate Jure Leskovec, and his MSR colleagues, studied the largest social network in published literature, the Microsoft Instant Messenger network, and found 6.6 degrees of separation, among other fascinating results. The work is mentioned in major news venues, including Washington Post, MSNBC, BBC news, Guardian, Spiegel. The work showed that, even in a huge network of millions of people, we still have the ``six degrees of separation'' phenomenon, that Milgram observed decades ago, in a social network of about 100 people. Washington Post article
August 2, 2008
VA Urged to Use Advanced Technology to Cut Backlog of Benefit Claims
Tom Mitchell, Professor and ML Department Head, testifies at the House Veterans' Affairs Committee to advise the use of artificial intelligence to reduce the backlog of disability claims. "If we can develop computer software such as TurboTax, which guides taxpayers as they fill out complex tax forms online, and which then provides them with instant, computer-based application of complex tax regulations to calculate to the penny the taxes they owe, then I see no reason why we cannot develop similar software to automate online filing of VA benefits claims and to automate a substantial fraction of the processing of these claims," said Tom Mitchell, chairman of the Machine Learning Department at the School of Computer Science at Carnegie Mellon University in Pittsburgh. Press Release
January 30, 2008
Mind Reading Is Now Possible
Marcel Just & Tom Mitchell identify where thoughts of familiar objects occur inside the human brain. Now research has broken the "content" barrier. Scientists at Carnegie Mellon University showed people drawings of five tools (hammer, drill and the like) and five dwellings (castle, igloo …) and asked them to think about each object's properties, uses and anything else that came to mind. Read the Newsweek Article CMU Press release.
January 12, 2008
Study Finds Genes That Turn Abnormal
Ziv Bar-Joseph research study finds genes that turn abnormal and may help to fight against cancer. CMU computational biologist Ziv Bar-Joseph, with assistance from German and Israeli researchers, developed a computer cell-replication model to identify genes involved in normal cell division and 118 candidate genes that show abnormal patterns of activation in cancer cells. Press Release
January 10, 2008
(-: Just Between You and Me ;-)
25th Anniversary of Scott Fahlman's :-) Smiley The first commonly acknowledged use of the contemporary emoticon was in 1982. Scott Fahlman, a research professor of computer science at Carnegie Mellon University in Pittsburgh, was linked to an electronic university bulletin board where computer enthusiasts posted opinions on matters as divisive as abortion and mundane as campus parking. “This is just my little gift to the world,” said Dr. Fahlman, now 59 and still doing computer-science research at Carnegie Mellon. Pittsburgh Post Gazette Article
July 29, 2007
Universities Work to Keep Perspective in Partnerships
When Andy Carlson decided to pursue a doctorate in computer science at Carnegie Mellon University, he didn't expect a Silicon Valley giant to be part of the curriculum. During his first year, though, the news broke: Google was setting up shop with Apple, Microsoft, Intel and others in the Collaborative Innovation Center, a 136,000-square-foot research facility on the school's Oakland campus. Tribune Review Article
July 23, 2007
Google Opening Pittsburgh Office
Andrew W. Moore, Carnegie Mellon University professor of Computer Science and Robotics, has been chosen by Google Inc., developer of the award-winning search engine, to head a new engineering office that will open in Pittsburgh sometime in 2006. The new engineering office will focus on creating a variety of search tools for Google and could act as an engine for creating new high-tech jobs in the Pittsburgh area. News Story Carnegie Mellon Press release
December 16, 2005
CMU Researcher Adapts Email Protocol For Large-Scale Analysis of Gene Activity
Ziv Bar-Joseph, Assistant Professor, ML and CS, used a standard Internet protocol, that checks errors made during email transmissions, to produce a revolutionary method to transform DNA microarray analysis, a common technology used to understand gene activation. Read Carnegie Mellon Press release and Post-Gazette article
December 12, 2005
Follow That Ant!
Ant watching could become a lot less boring for researchers aiming to unravel their intricate social behavior. An image-processing system unveiled at a conference on software robots in Montreal last week not only keeps tabs on 100 individual ants at a time, but can also figure out what jobs they do in the colony. Tucker Balch, a Computer Scientist is working on movement recognition among groups of robots. With colleagues Zia Khan and Manuela Veloso, Balch has created a video-analysis system that not only tracks the ants' movements, but also classifies each ant according to three behavioral types. Read More
June 9, 2001
Intelligent Agents Getting Practical
Katia Sycara, a senior research scientist at Carnegie-Mellon University, thinks it may not be many years before full-fledged agents start picking up some slack in our daily regimens. Intelligent agents, in their most common form, are like little personal assistants. They can swim into a computer network, track down information, make decisions and report back to you with the results. And they can learn from their experiences. AZ Republic Article
March 27, 2001