AI for Social Good
MIT Quest AI Roundtable | May 10 | 12pm-1pm
AI has the potential to address longstanding societal problems, from economic inequality to unequal access to healthcare, but it could also widen these divisions without deliberate steps to mitigate AI’s potential negative effects. We will discuss ideas for harnessing AI for the benefit of all. Speakers: Fotini Christia (MIT); Stacy Hobson (IBM); Moderator: Aude Oliva.
Read MoreCrossing the Divide for Energy-efficient AI
MIT Quest AI Roundtable | April 29 | 12pm-1pm
AI applications are moving quickly to smartphones and low-power hand-held devices. To make the shift, both hardware and software will need to be redesigned for speed and efficiency. We will discuss leading strategies for achieving efficient AI by co-designing hardware and software for deep learning. Speakers (MIT): Vivienne Sze; Song Han; Moderator: Aude Oliva.
Read MoreToward Brain-inspired, Energy-efficient Chips
MIT Quest AI Roundtable | March 26 | 12pm-1pm
Traditional computer chips waste time and energy shuttling data between separate memory and computational units. Neural circuits in the brain, by contrast, achieve enormous efficiencies by storing and processing information at the same place. Inspired by biological models of learning, researchers are designing computing elements that mimic neural circuits and consume massively less energy. Speakers: Bilge Yildiz, Michale Fee (MIT); Panelists: Jesus delAlamo, Ju Li (MIT); Moderator: Aude Oliva (MIT)
Read MoreExtending Deep Nets to New, Unexpected Situations
Virtual MIT Quest AI Roundtable | Feb. 11 | 7pm-8pm
Deep neural networks could very well memorize their training data, but instead they find generalizable rules. We will discuss various ideas for why this happens, and how we can build deep learning systems that generalize even better to new and unexpected scenarios. Speakers: Pulkit Agrawal, Phillip Isola (MIT); Alyosha Efros (UC Berkeley); Moderator: Aude Oliva (MIT)Â
Read MoreArtificial Intelligence @ MIT Research Blitz
Virtual | 5pm – 7pm
Join the student group, Artificial Intelligence @ MIT,  (AIM, formerly the Machine Intelligence Community) for its third-annual Research Blitz! Four MIT researchers – Justin Solomon, Sarah Cen, Genevieve Flaspohler and Pulkit Agrawal – will give AI-related  lightning talks.
Read MoreWhat’s Next in AI 2020 Conference
Virtual: Nov. 5; Nov. 12; Nov. 19 | 9:00am-12:00pm
Leaders agree that AI offers a competitive advantage, but only a fraction of organizations are using AI to its full potential. In this virtual event, scientists and business experts from the MIT-IBM Watson AI Lab will explain how to overcome three key barriers to implementing AI successfully — trust, scalability, and reasoning.
Read MoreFrontiers of AI/ML
Zoom Webinar
From research into privacy-preserving machine learning, to creating robust and deployable AI, to improving human-AI collaboration, MIT faculty will share their insights on the path to the artificial intelligence/machine learning frontier. This event is co-sponsored with MIT Corporate Relations and the MIT Industrial Liaison Program.
Read MoreThe Path to More Flexible AI
Virtual Panel Discussion: Watch Here
This panel discussion will address topics such as the need to create a new class of AI systems that can perform with increasing autonomy, more self-reliant training, and with far less data. The conversation will be moderated by David Schubmehl, Director of Cognitive and AI Systems, IDC Research.
Read MoreMIT-IBM Watson AI Lab Virtual Poster Session
Please join us for the virtual edition of our MIT-IBM Watson AI Lab Networking and Poster Session. We hold this event each year to help MIT and IBM researchers connect over shared research interests and consider submitting a team research proposal.
Read MoreLinking the Brain
E51-095 – Tang Building, 4pm
Computerization, Biomedicalization and Globalization in Neuroscience, 1960-2000 MIT postdoc Young Shin will discuss the evolution of the computer revolution in neuroscience in the United States and South Korea which culminated in the American Human Brain Project. Sponsored by MIT's Program in Science, Technology, and Society.
Read MoreNational Security Commission on AI
32-882, Stata Center – Hewlett Room 2:00PM – 3:30PM
Please join the National Security Commission on Artificial Intelligence (NSCAI) for a conversation on the implications of artificial intelligence (AI) on national security and research. How the United States adopts AI will have profound ramifications for our immediate security, economic well-being, and position in the world.
Read MoreSpeed Up and Green Up Your AI!
Building 26-152
Speed up and Green up your AI! Tutorial and hackathon. Featuring $1,000 in cash prizes, food, and hundreds of GPUs. Learn how to get started on MIT’s newest and greenest AI supercomputers, Satori (#4 on the worldwide #Green500), and TX-Gaia, (coming soon to the MIT Lincoln Laboratory). Prizes will be awarded for performance, innovation and efficiency […]
Read MoreSeminar: Edith Beigné, Facebook
32-G449, Stata Center – Patil Kiva Conference Room
4PM
Join MIT Quest and MIT School of Engineering for a special seminar with Edith BeignĂ©, Director of AR/VR Silicon Research at Facebook. Augmented reality (AR) is a set of technologies that will fundamentally change the way we interact with our environment. One of the biggest challenges in realizing a comprehensive AR experience is managing power […]
Read MoreMachine Learning on Google Cloud – Vision...
Stata Center, 32-155, 5-7pm
Learn how to gain insights about your data using pre-trained machine learning models hosted on Google Cloud. These APIs use the same machine learning technology that powers Google products like Photos, Gmail, and Assistant. In this session, we’ll cover an Intro to Google Cloud, demos of our APIs, and a hands-on workshop to help you get […]
Read MoreQuest Spotlight on Embodied Intelligence Research
Stata Center, Building 32. 4th Floor R&D Lounge, 5-7pm.
Join us for an informal research mixer on the topic of embodied intelligence, featuring spotlight talks and posters. The evening will focus on approaching the old dream of AI and robotics, and understanding the nature of intelligent behavior in the physical world through the study of human intelligence and the design and implementation of intelligent agents. Reception to follow talks.
Read MoreMIT Machine Intelligence Community Research Blitz
34-401 Grier Room, 3-5pm
Join the MIT Machine Intelligence Community (MIC) for its second annual Research Blitz! Six MIT researchers — Nick Roy, Aude Oliva, Vikash Mansinghka, Erik Hemberg, Mike Carbin and Jonathan Frankle — will give lightning talks on topics relating to machine intelligence. Refreshments will be served.
Read MoreWorkshop on Collective Intelligence
MIT, Building 46 Atrium and Auditorium
Almost everything humans have achieved has been done by groups of people working together. Financial markets operate on this principle of collective intelligence to set prices for stocks, as do Internet search engines to answer questions asked by thousands before. Computers can make groups even smarter, but how should humans and machines interact? This workshop will explore the ways that people and machines, working separately and together, can leverage their relative strengths, resolve conflict and create value for society.
Read MoreAI Research Week
MIT Samberg Conference Center & IBM Research Cambridge
Sponsored by the MIT-IBM Watson AI Lab, AI Research Week is five days of innovation, inspiration and insights featuring notable speakers, panels, workshops, networking and mentorship from leading figures in AI research.
Read MoreMIT Machine Intelligence Community Conference
Boston University
Join the student-led MIT Machine Intelligence Community for a day of talks by researchers affiliated with Boston-area universities and IBM Research Cambridge. Agenda coming soon.
Read MoreIntegrating Human Values into Computing
Stata, Star Seminar Room (32-D463)
9am-12pm
University of Washington professor Batya Friedman will lead two public lectures on value sensitive design, an approach for integrating human values throughout the technical design process. The first lecture will provide an overview of value sensitive design; the second will explore applications in higher education.
Read MoreExplaining the Human Visual Brain Challenge and...
MIT, Cambridge, Mass.
The Algonauts Project brings biological and artificial intelligence researchers together on a common platform to exchange ideas and advance both fields. Its first challenge and workshop, Explaining the Human Visual Brain, will focus on building computer vision models that simulate how the brain sees and recognizes objects.
Read MoreWorkshop on Deep Generative Modeling
9 am-7 pm
Singleton Auditorium, Building 46, MIT
This workshop and tutorial will focus on the promise of generative adversarial networks, or GANs: how we can exploit their benefits while minimizing their potential harm. Topics will include the nuts and bolts of generative models, their applications, generative art, and the science and theory of GANs.
Read MoreMIT-Liberty Mutual Collaboration Workshop
2pm-5pm
Kiva seminar room (32-G449), CSAIL, Cambridge, Mass.
The MIT-Liberty Mutual Liberty Collaboration represents a $25 million, five-year commitment to advance AI research in computer vision, computer language understanding, data privacy and security, among other topics. Please join us for a workshop 2pm – 5pm, Monday, May 13, to discuss the call for research proposals. Proposals from MIT researchers will be accepted through July 15.
Read MoreQuest Workshop on AI Hardware
9am-5pm
Building 46 Atrium and PILM Seminar Room (46-3310), MIT
Successful hardware innovation in AI will not take place in isolation, but will emerge from a rich, layered, research ecosystem ranging from material science to software engineering. This workshop will explore novel, long-term opportunities for AI hardware, and feature faculty talks, panel discussion, and a poster session.
Read MoreDeep Mind CEO on Self-Learning Systems
4 pm – 5 pm
MIT 34-101, 50 Vassar Street, Cambridge MA 02139
Demis Hassabis, co-founder and CEO of DeepMind, a British artificial intelligence company owned by Alphabet Inc., will discuss the power of self-learning systems, some of DeepMind's recent breakthroughs, and AI's potential for scientific and philosophical discovery. This talk is co-hosted by the MIT Quest for Intelligence and MIT's Center for Brains, Minds and Machines.
Read MoreMobileye CEO on State of Autonomous Driving
4:30 pm – 5:30 pm
Building 10-250, 50 Vassar Street, Cambridge MA 02139
Amnon Shashua is a senior VP at Intel, president and CEO of Mobileye, and a computer science professor at Hebrew University. This talk is co-hosted by the MIT Quest for Intelligence and MIT's Center for Brains, Minds and MachinesÂ
Read More6.S191: Introduction to Deep Learning
Building 32-123Â 1:00pm-4:00pm
MIT's official introductory course on deep learning methods with applications to machine translation, image recognition, game playing, and more. Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow.
Read MoreMIT AI Policy Congress
In a series of talks and panel discussions, researchers at MIT and leaders in the public and private sectors will explore how artificial intelligence systems should be governed to meet societal expectations. The forum will focus on the practical ways that society, industry, and governments should manage the negative effects of AI.
Read MoreMIT Machine Intelligence Community Research Blitz
Building 32-124
Five MIT professors — Cynthia Breazeal, Fredo Durand, Nick Roy, Vivienne Sze and Antonio Torralba — will give 10-minute lightning talks on their research. This end of semester networking event for students is sponsored by the MIT Machine Intelligence Community and The Quest. Refreshments will be served.
Read MoreBrains, Minds + Machines Seminar Series: Percei...
Singleton Auditorium, Building 46-3002
Our sensory systems are unable to directly sense all the aspects of the world we perceive. For example, our perception of the world as three-dimensional (3D) is compelling, but our eyes only detect two-dimensional (2D) projections of our surroundings. Creating accurate and precise 3D percepts is critical for successful interactions with our environment, but how does the brain solve this inverse problem?
Read MoreMIT Machine Intelligence Community Deep Learnin...
Building 32-124
Deep Learning Workshop Series Tuesdays 5pm-7pm Week 6: Guest lecture by IBM – Learn more about IBM Cloud (11/27) mitmic.io
Read MoreQuest Networking Event
Building 32-G449
Join us for our first Quest for Intelligence networking event on Monday, Nov. 26. Learn what your colleagues are up to and discover new opportunities for collaboration. Quest Director Antonio Torralba, Executive Director Aude Oliva and Bridge Director Nick Roy will provide updates on upcoming Quest events and initiatives. Future networking events will spotlight Quest-funded research projects now underway. Refreshments will be served. 4 pm to 6 pm, Monday, Nov. 26.
Read MoreQuest Symposium on Robust, Interpretable AI
Singleton Auditorium, Building 46-3002
To advance further, deep learning systems will have to become more transparent. They will need to prove they are reliable, can withstand malicious attacks, and can explain their reasoning, especially in safety-critical applications like self-driving cars. The symposium will feature faculty talks, a poster session and refreshments.
Read MoreAI and the Future of Work Congress
Kresge Auditorium (Building W16), 48 Massachusetts Avenue
Cambridge, MA 02139
MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) and Initiative on the Digital Economy (IDE) will host the 2nd annual AI and the Future of Work Congress.
Read MoreEngineering the Future We Want, Eric Schmidt
Stata Center, Building 32-123, Cambridge, MA 02139
CSAIL and the MIT Quest for Intelligence invite you to the Quest Distinguished Speaker Series inaugural talk, co-hosted by Daniela Rus and Antonio Torralba.
Read MoreBrains, Minds + Machines Seminar Series: What a...
Singleton Auditorium (MIT 46-3002)
43 Vassar Street, Cambridge MA 02139
The existence of feedforward and feedback neural connections between areas in the primate visual cortical hierarchy is well known. While there is a general consensus for how feedforward connections support the sequential stages of visual processing for tasks such as object recognition, the computational functions of feedback for recognition and other tasks are less well understood.
Read MoreMIT Quest Brainstorm Workshop
3pm-5pm
Singleton Auditorium (46-3002)
Join the MIT Quest for an interactive workshop for students and faculty across MIT's five schools. We are seeking research project ideas focused on human and machine intelligence, ethics, AI in education and AI policy and law. Learn more about the MIT Quest, how you can get involved, and share your ideas for how intelligent systems can create a better world.
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