November 5, 2021 - 4:00 pm
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain
In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type.
The most recent generation of...
November 4, 2021 - 4:00 pm
A new machine-learning system helps robots understand and perform certain social interactions.
Robots can deliver food on a college campus and hit a hole in one on the golf course, but even the most sophisticated robot can’t perform basic social interactions that are critical to everyday human life.
MIT researchers have now incorporated certain social interactions into a framework for robotics, enabling machines to understand what it means to...
November 4, 2021 - 10:00 am
Ballyhooed artificial intelligence technology, known as “deep learning,” brings back ideas 70 years ago.
Over the last decade, the best performing artificial intelligence systems, such as smartphone voice recognition and Google’s latest automatic translation capabilities, have come from a technique called “deep learning.”
Deep learning is, in fact, a new name for an approach to artificial intelligence called neural networks. Neural networks have...
November 2, 2021 - 4:00 pm
Vivian Paulun
Title: Wobbling, drooping, bouncing—Visual perception of materials and their properties
Abstract: Visual inference of material properties like mass, compliance, elasticity or fragility is crucial to predicting and interacting with our environment. Yet, it is unclear how the brain achieves...
Abstract: Visual inference of material properties like mass, compliance, elasticity or fragility is crucial to predicting and interacting with our environment. Yet, it is unclear how the brain achieves...
October 26, 2021 - 4:00 pm
MIBR Seminar Room 46-3189
Drs. Jie Zheng and Mengmi Zhang
Please note, Dr. Zhang will be presenting remotely via Zoom.
Abstract:
Jie Zheng's presentation:
Title: Neurons that structure memories of ordered experience in human
Abstract: The process of constructing temporal associations among related events is essential to episodic memory. However, what neural mechanism helps accomplish this function remains unclear...
Jie Zheng's presentation:
Title: Neurons that structure memories of ordered experience in human
Abstract: The process of constructing temporal associations among related events is essential to episodic memory. However, what neural mechanism helps accomplish this function remains unclear...
October 25, 2021 - 3:00 pm
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
Anne Trafton | MIT News Office
In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type.
The...
October 19, 2021 - 4:00 pm
Trenton Bricken and Will Xiao, Kreiman Lab
Will Xiao's presentation
Title: What you see is what IT gets: Responses in primate visual cortex during natural viewing
Abstract: How does the brain support our ability to see? Studies of primate vision have typically focused on controlled viewing conditions exemplified by the rapid serial visual...
Title: What you see is what IT gets: Responses in primate visual cortex during natural viewing
Abstract: How does the brain support our ability to see? Studies of primate vision have typically focused on controlled viewing conditions exemplified by the rapid serial visual...
October 18, 2021 - 5:00 pm
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
by Jennifer Michalowski | McGovern Institute for Brain Research
Using machine learning, a computer model can teach itself to smell in just a few minutes. When it does, researchers have found, it builds a neural network that closely mimics the olfactory circuits that animal brains use to process odors.
Animals...
October 18, 2021 - 10:45 am
We seem to be wired to calculate not the shortest path but the “pointiest” one, facing us toward our destination as much as possible.
Anne Trafton | MIT News Office
Everyone knows the shortest distance between two points is a straight line. However, when you’re walking along city streets, a straight line may not be possible. How do you decide which way to go?
A new MIT study suggests that our brains are actually not optimized to calculate the so...
October 5, 2021 - 4:00 pm
Singleton Auditorium (46-3002)
Prof. Daniela Rus, Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) , Deputy...
The Fall 2021 Brains, Minds, and Machines (BMM) Seminar Series will be hosted in a hybrid format.
Please see the information included below regarding attending the event either in-person or remotely via Zoom connection
Abstract: In this talk, we will discuss the nuts and bolts of the novel...
Please see the information included below regarding attending the event either in-person or remotely via Zoom connection
Abstract: In this talk, we will discuss the nuts and bolts of the novel...
September 29, 2021 - 9:00 am
The firm worked with UK weather forecasters to create a model that was better at making short term predictions than existing systems.
by Will Douglas Heaven
First protein folding, now weather forecasting: London-based AI firm DeepMind is continuing its run applying deep learning to hard science problems. Working with the Met Office, the UK’s national weather service, DeepMind has developed a deep-learning tool called DGMR that can...
September 28, 2021 - 4:00 pm
PILM Seminar Room 46-3310
Dr. Lucas Tian, Rockefeller University
Abstract: Compositionality is a key signature of the mind. It is the ability to generalize from a small set of rules to an almost unlimited set of complex thoughts and behaviors. Compositionality is critical for many domains of intelligence, such as language, social reasoning, and motor planning....
September 21, 2021 - 4:00 pm
Singleton Auditorium (46-3002)
Prof. Aude Oliva, Senior Research Scientist, CSAIL; MIT Director MIT-IBM Watson AI Lab; Director MIT Quest...
Abstract: The human brain is a time machine; We are constantly remembering our past, and projecting ourselves into the future. Capturing the brain’s response as these moments unfold could yield valuable insights into both how the brain works and how to better design human-centered AI systems. In...
September 20, 2021 - 11:15 am
Sanmay has worked with the US Treasury department on machine learning approaches to credit risk analysis, and occasionally consults in the areas of technology and finance.
“Avoid incrementalism and the desire to measure the value of your research by competitive benchmarks and metrics.”
Sanmay Das
For this week’s ML practitioner’s series, Analytics India Magazine (AIM) got in touch with Sanmay Das, whose research interests are in designing...
September 14, 2021 - 4:00 pm
Singleton Auditorium (46-3002)
Prof. Ila Fiete, MIBR, BCS Dept., MIT
The Fall 2021 Brains, Minds, and Machines (BMM) Seminar Series will be hosted in a hybrid format.
Please see the information included below regarding attending the event either in-person or remotely via Zoom connection
Abstract: Episodic memory involves fragmenting the continuous stream of...
Please see the information included below regarding attending the event either in-person or remotely via Zoom connection
Abstract: Episodic memory involves fragmenting the continuous stream of...