CBCL MIT
The Poggio Lab studies the problem of learning within a multidisciplinary approach.
Mini-CBCL reunion! =)
Tony Ezzat and Gadi Geiger met for lunch at Legal Sea Foods this weekend.
Poggio Lab NeurIPS reunion dinner - 2019 edition
Thank you to Andrea Tacchetti for sharing the photos. =)
Congratulations to Dr. Amir Adler for winning a Facebook Content Policy Research on Social Media Platforms research award! His proposal, "Hate Speech Detection via Deep Learning from Very Large Datasets," was one of nineteen (19) projects selected for funding, out of 189 submissions worldwide.
https://research.fb.com/announcing-the-winners-of-the-content-policy-research-on-social-media-platforms-research-awards/
Announcing the winners of the Content Policy Research on Social Media Platforms research awards In February, Facebook launched a request for proposals focused on content policies, specifically around hate speech and preventing offline harm.…
Greetings from Montreal!
Mini-Poggio Lab reunion at NeurIPS 2018.
Thesis defense: Structured learning and inference with neural networks and generative models.
Speaker: Owen Lewis
Thesis Advisor: Prof. Tomaso Poggio
Date: October 30th, 2018
Have you listened to Tommy discuss the State of AI on the Technoskeptic podcast?
Podcast #16: Tomaso Poggio on the State of AI | The Technoskeptic After a long so-called winter, artificial intelligence has recently made amazing gains. Tomaso Poggio, Director of MIT's Center for Brains, Minds, and Machines, explains why this success is still a long way from the dystopian fears of robot overlords, but that the threat to jobs is real.
This Fall, Tommy gave a talk at Stanford as part of the Stats 385 course. The video of the talk is available online: https://www.youtube.com/watch?time_continue=21&v=4yLCuZnhkdI
Stats 385 - Theories of Deep Learning - Tomaso Poggio - Lecture 5
Thesis defense: Learning and Inference with Wasserstein Metrics
Speaker(s): Charlie Frogner
Thesis Advisor: Prof. Tomaso Poggio
Date: Wednesday, January 10, 2018
Poggio Lab NIPS reunion lunch! =)
Congratulations Dr. Chiyuan Zhang!
We wish you all the best of luck with your new position at Google|Brain. Come back and visit soon. =)
Congratulations to Dr. Andrea Tacchetti!
Wish you all the best of luck with your new position at DeepMind. Have fun in London! Hope you can visit us often. =)
Congratulations to Francis Chen!
So glad you were able to come back and visit the lab. Wish you all the best of luck with your new job. Hope we get to see more of you once you move back to the East Coast! =)
Congrats to Prof. Tim Berners-Lee on winning the Turing Award!
See URL: https://news.mit.edu/2017/tim-berners-lee-wins-turing-award-0404
With peer institutions, MIT files amicus brief against revised travel ban Ensuring that students and scholars from around the globe can continue to enter the US is vital to universities’ missions, brief argues.
How to Maintain America’s Edge In February 2016, scientists from the Massachusetts Institute of Technology (MIT) and the California Institute of Technology, or Caltech, joined with the National Science Foundation (NSF) to share some remarkable news: two black holes 1.3 billion light-years away had collided, and the resulting grav...
Have you seen Georgios Evangelopoulos's letter to MIT Tech Review?: Uncommon Mentor, Feb 22, 2017
"Gadi willingly shares his many stories—enough to write books or make documentaries about—and offers commentaries on art, music (the mathematics in Bach), and current social and political affairs over a dinner he has prepared or while browsing through his record and book collection. For Mr. (not Dr.) Geiger, his “uncommon education,” as the MIT News article described it, might be the point of reference for his unconventional views in research and life. MIT attracts and puts to good use uncommon, unconventional minds and characters like Gadi. And in turn, they push MIT forward."
Read full letter here:
https://www.technologyreview.com/s/603442/alumni-letters/
Alumni Letters The mission of MIT Technology Review is to equip its audiences with the intelligence to understand a world shaped by technology.
Have you seen the MIT Technology Review profile of CBCL/Poggio Labs's very own Gadi Geiger?
https://www.technologyreview.com/s/602912/an-uncommon-education/
Leaving college without a degree gave Gadi Geiger the freedom to build a career around his passions Not having a college degree didn’t stop Gadi Geiger from becoming a neuroscientist—or serving as the go-to guy for career advice in the Poggio Lab.
MIT BCS graduate student Caitlin Vander Weele has established a science-art outreach publication titled 'Interstellate'. The mission of the publication is to raise awareness of neuroscience through beautiful images of the brain. The first issue contains research images submitted by over 50 scientists.
Checkout Interstellate Volume 1 here:
http://pub.lucidpress.com/Interstellate_Volume1/
Interstellate_Volume1 Outreach & Education. What is the brain made of? What do different parts do? How do we study it? And why should my tax money pay for brain research? These are all questions I have heard from my friends and family. Answering some of these questions is the primary goal of Interstellate. I hope Interst...
Congratulations to Dr. Jim Mutch!
Wish you all the best in the future & good luck with the move. We'll miss you!
http://bcs.mit.edu/news-events/events/scale-invariant-object-categorization-under-eccentricity-dependent-retinal
Scale-invariant object categorization under eccentricity-dependent retinal resolution | Brain and Cognitive Sciences Thesis defenseScale-invariant object categorization under eccentricity-dependent retinal resolutionSpeaker(s): Jim Mutch, Poggio Lab America/New_YorkScale-invariant object categorization under eccentricity-dependent retinal resolution09/02/2016 02:00 PM09/02/2016 03:00 PMBrain and Cognitive Sciences...
Have you seen the updated lab website? http://poggio-lab.mit.edu/
Home | Poggio Lab The Center for Biological & Computational Learning (CBCL) at MIT was founded with the belief that learning is at the very core of the problem of intelligence, both biological and artificial, and is the gateway to understanding how the human brain works and to making intelligent machines. CBCL studie...
Rest in peace Prof. Corkin.
Suzanne Corkin, Who Helped Pinpoint Nature of Memory, Dies at 79 Among many other contributions, Dr. Corkin’s work helped settle a debate about the function of the hippocampus in retrieving and reliving past experiences.
Google's AlphaGo defeats South Korean Go master Lee Sedol | The Center for Brains, Minds & Machines March 9, 2016Google's DeepMind group, and CBMM Industrial Partner, developed an artificial intelligence to master the traditional Chinese game "Go". Combining the machine learning methodologies of deep neural networks and reinforcement learning, AlphaGo defeated South Korean Go master Lee Sedol in a…
Video: The Terminator and the Washing Machine What the legendary matches between supercomputer Deep Blue and chess grandmaster Garry Kasparov reveal about today’s artificial intelligence and machine learning fears.
Yesterday Marvin Minsky, "the founding father of AI” as well as of our lab, passed away at the age of 88.
Minsky "combined a scientist’s thirst for knowledge with a philosopher’s quest for truth as a pioneering explorer of artificial intelligence," writes the New York Times.
His work "helped inspire the PC and the Internet," as well as countless advances in robotics and computer science. He also co-founded MIT’s AI Lab in 1959, which later became CSAIL in 2003:
"He mentored many members of our community and inspired countless students to devote their lives to computing," says CSAIL Director Daniela Rus and EECS Department Head Anantha Chandrakasan. "Our hearts go out to the Minsky family, as well as the many friends and colleagues who were privileged enough to know Marvin and be part of his world."
https://t.co/h13LL0ttS3
Interesting MIT News article Prof. Poggio's research.
http://news.mit.edu/2015/algorithms-recognize-objects-few-examples-1223
Machines that learn like people Algorithms could learn to recognize objects from a few examples, not millions; may better model human cognition.
More-flexible machine learning Giving machine-learning systems “partial credit” during training improves image classification.
Congratulations to Chiyuan, Charlie & Tommy! Their recent paper, written with Hossein Mobahi and Mauricio Araya-Palo, is featured on the MIT spotlight today: http://www.mit.edu/
Read Larry Hardesty's article about the research on the MIT News website:
http://news.mit.edu/2015/more-flexible-machine-learning-1001
Release the beest! At 5:30pm on 9/10, following with artist Theo Jansen, a Strandbeest will walk on the plaza outside the Media Lab. Join us! http://mitsha.re/R60Jp
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