June 14, 2024 - 11:00 am
* This article is about recent work at the Kreiman lab outside of his CBMM projects. There is a class of AI called reinforcement learning (RL), which works by taking actions in an environment and then learning from the outcome. RL agents have become extraordinarily powerful in recent years, beating human experts in chess and Go, learning to play video games, or learning to control robotic systems. In every case, RL has achieved these feats by...
June 12, 2024 - 10:00 am
Citation from the Committee Recognizing faces is important for social interaction in many animals. Previous work in human psychology, clinical studies of brain-injured patients, positron emission tomography studies, and isolated face-selective neurons in non-human primates, had suggested the existence of a functionally specialized system for face recognition. However, face recognition had not been localized to any specific area of the brain. The...
June 8, 2024 - 3:00 pm
John Werner - Contributor I am an MIT Senior Fellow, 5x-founder & VC investing in AI Today I heard from MIT research scientist Andrei Barbu about working with LLMs, and how to prevent certain kinds of problems related to data leaks. “We’re interested in studying language in particular,” he said of his work, turning to some of the goals of research teams in this area. Thinking about the duality of human and computer cognition, he pointed out...
May 14, 2024 - 4:00 pm
Room 45-792
This research mission broadly aims to understand how children grasp new concepts from few examples, how children build upon layers of concepts to reach an understanding of the world and have the flexibility to solve an unbounded range of problems. Can we build AI that starts like a baby and learns...
Science|Business ranks recipients of National Science Foundation grants in AI - and finds an Italian at MIT is the biggest winner
May 14, 2024 - 10:15 am
Carnegie Mellon, UC San Diego top US grant winners for AI research Science|Business ranks recipients of National Science Foundation grants in AI - and finds an Italian at MIT is the biggest winner By Raffaele Guerini The US has been leading global development of artificial intelligence – but which universities are biggest in the sciences underlying the field? A Science|Business analysis of grants by the US National Science Foundation ranks...
May 7, 2024 - 4:00 pm
Bruno Olshausen, UC Berkeley
Abstract: The goal of building machines that can perceive and act in the world as humans and other animals do has been a focus of AI research efforts for over half a century.   Over this same period, neuroscience has sought to achieve a mechanistic understanding of the brain processes underlying...
May 1, 2024 - 10:30 am
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks. Alex Shipps | MIT CSAIL Large language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, the gap between these systems and humans looms large. Without the ability to learn new concepts like humans do, these systems...
April 19, 2024 - 1:00 pm
[Translated from Italian to English by Google Translate] History and future of ChatGPT and its sisters in the book just published by the Italian scientist who became famous at the Massachusetts Institute of Technology in Boston. «The genie is out of the bottle, but humans are more dangerous than robots» by PIERO BIANUCCI The authors know this. Some books ask to be written. They demand it. Even with a certain arrogance. It happens to those who...
April 18, 2024 - 11:00 am
Online Webinar
Amnon Shashua, Sachs Professor of Computer Science at the Hebrew University of Jerusalem, Founder & CEO,...
*Event time is 11:00pm EDT / 5:00pm CET - Registration required!*
Register for the event here.
Join us on a journey through the history of artificial intelligence (AI) from its early conceptual foundations to today’s Gen AI breakthroughs and tomorrow’s potential futures with:

Amnon Shashua, Sachs...
April 9, 2024 - 4:00 pm
Room 45-792
This research mission broadly addresses how we perceive the world around us and integrate this information to plan and complete tasks. Scientific goals include research into how perception, planning, and action interface, how we learn efficiently from small data sets and the creation of behavioral...
April 2, 2024 - 4:00 pm
Singleton Auditorium (46-3002)
Melanie Mitchell, Santa Fe Institute
Abstract: I will survey a current, heated debate in the AI research community on whether large pre-trained language models can be said to "understand" language—and the physical and social situations language encodes—in any important sense. I will describe arguments that have been made for and...
April 2, 2024 - 11:15 am
September 9 - December 13, 2024 Scientific Overview The quest to understand intelligence is one of the great scientific endeavors—on par with quests to understand the origins of life or the foundations of the physical world. Several scientific communities have made significant progress in fields like animal cognition, cognitive science, collective intelligence, and artificial intelligence, as well as the social and behavioral sciences. Yet these...
March 26, 2024 - 4:00 pm
Singleton Auditorium (46-3002)
Giorgio Metta, Istituto Italiano di Tecnologia (IIT)
Abstract: The iCub is a humanoid robot designed to support research in embodied AI. At 104 cm tall, the iCub has the size of a five-year-old child. It can crawl on all fours, walk, and sit up to manipulate objects. Its hands have been designed to support sophisticate manipulation skills. The iCub...
March 19, 2024 - 4:00 pm
Room 45-792
The Language Mission broadly aims to understand the relationship between language and human intelligence. Scientific goals include understanding how humans and machine learning models interpret and generate language and determining the role of language in the acquisition, representation, and use of...
March 19, 2024 - 2:00 pm
Designing machines to think like humans provides insight into intelligence itself By George Musser he dream of artificial intelligence has never been just to make a grandmaster-beating chess engine or a chatbot that tries to break up a marriage. It has been to hold a mirror to our own intelligence, that we might understand ourselves better. Researchers seek not simply artificial intelligence but artificial general intelligence, or AGI—a system...

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