Marking a milestone: Dedication ceremony celebrates the new MIT Schwarzman College of Computing building
MIT News - Machine learning
by Terri Park | MIT Schwarzman College of Computing
2d ago
The MIT Stephen A. Schwarzman College of Computing recently marked a significant milestone as it celebrated the completion and inauguration of its new building on Vassar Street with a dedication ceremony. Attended by members of the MIT community, distinguished guests, and supporters, the ceremony provided an opportunity to reflect on the transformative gift that initiated the biggest change to MIT’s institutional structure in over 70 years. The gift, made by Stephen A. Schwarzman, the chair, CEO, and co-founder of Blackstone, one of the world’s largest alternative investment firms, was th ..read more
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Machine learning and the microscope
MIT News - Machine learning
by Austin Chen | MIT News correspondent
2d ago
With recent advances in imaging, genomics and other technologies, the life sciences are awash in data. If a biologist is studying cells taken from the brain tissue of Alzheimer’s patients, for example, there could be any number of characteristics they want to investigate — a cell’s type, the genes it’s expressing, its location within the tissue, or more. However, while cells can now be probed experimentally using different kinds of measurements simultaneously, when it comes to analyzing the data, scientists usually can only work with one type of measurement at a time. Working with “multim ..read more
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Reasoning skills of large language models are often overestimated
MIT News - Machine learning
by Rachel Gordon | MIT CSAIL
2d ago
When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) stems from their vast size, complex training methods, hard-to-predict behaviors, and elusive interpretability. MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers recently peered into the proverbial magnifying glass to examine how LLMs fare with variations of different tasks, revealing intriguing insights into the interplay between memorization and reasoning skills. It turns out that their reasoning abilities are often ..read more
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When to trust an AI model
MIT News - Machine learning
by Adam Zewe | MIT News
2d ago
Because machine-learning models can give false predictions, researchers often equip them with the ability to tell a user how confident they are about a certain decision. This is especially important in high-stake settings, such as when models are used to help identify disease in medical images or filter job applications. But a model’s uncertainty quantifications are only useful if they are accurate. If a model says it is 49 percent confident that a medical image shows a pleural effusion, then 49 percent of the time, the model should be right. MIT researchers have introduced a new approach that ..read more
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MIT researchers introduce generative AI for databases
MIT News - Machine learning
by Adam Zewe | MIT News
5d ago
A new tool makes it easier for database users to perform complicated statistical analyses of tabular data without the need to know what is going on behind the scenes. GenSQL, a generative AI system for databases, could help users make predictions, detect anomalies, guess missing values, fix errors, or generate synthetic data with just a few keystrokes. For instance, if the system were used to analyze medical data from a patient who has always had high blood pressure, it could catch a blood pressure reading that is low for that particular patient but would otherwise be in the normal range. GenS ..read more
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Creating the crossroads
MIT News - Machine learning
by Lillian Eden | Department of Biology
2w ago
A few years ago, Gevorg Grigoryan PhD ’07, then a professor at Dartmouth College, had been pondering an idea for data-driven protein design for therapeutic applications. Unsure how to move forward with launching that concept into a company, he dug up an old syllabus from an entrepreneurship course he took during his PhD at MIT and decided to email the instructor for the class. He labored over the email for hours. It went from a few sentences to three pages, then back to a few sentences. Grigoryan finally hit send in the wee hours of the morning. Just 15 minutes later, he received a response fr ..read more
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Helping nonexperts build advanced generative AI models
MIT News - Machine learning
by Zach Winn | MIT News
3w ago
The impact of artificial intelligence will never be equitable if there’s only one company that builds and controls the models (not to mention the data that go into them). Unfortunately, today’s AI models are made up of billions of parameters that must be trained and tuned to maximize performance for each use case, putting the most powerful AI models out of reach for most people and companies. MosaicML started with a mission to make those models more accessible. The company, which counts Jonathan Frankle PhD ’23 and MIT Associate Professor Michael Carbin as co-founders, developed a platform tha ..read more
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MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed
MIT News - Machine learning
by School of Engineering
3w ago
When the Takeda Pharmaceutical Co. and the MIT School of Engineering launched their collaboration focused on artificial intelligence in health care and drug development in February 2020, society was on the cusp of a globe-altering pandemic and AI was far from the buzzword it is today. As the program concludes, the world looks very different. AI has become a transformative technology across industries including health care and pharmaceuticals, while the pandemic has altered the way many businesses approach health care and changed how they develop and sell medicines. For both MIT and T ..read more
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Researchers leverage shadows to model 3D scenes, including objects blocked from view
MIT News - Machine learning
by Adam Zewe | MIT News
3w ago
Imagine driving through a tunnel in an autonomous vehicle, but unbeknownst to you, a crash has stopped traffic up ahead. Normally, you’d need to rely on the car in front of you to know you should start braking. But what if your vehicle could see around the car ahead and apply the brakes even sooner? Researchers from MIT and Meta have developed a computer vision technique that could someday enable an autonomous vehicle to do just that. They have introduced a method that creates physically accurate, 3D models of an entire scene, including areas blocked from view, using images from a single camer ..read more
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Understanding the visual knowledge of language models
MIT News - Machine learning
by Alex Shipps | MIT CSAIL
3w ago
You’ve likely heard that a picture is worth a thousand words, but can a large language model (LLM) get the picture if it’s never seen images before? As it turns out, language models that are trained purely on text have a solid understanding of the visual world. They can write image-rendering code to generate complex scenes with intriguing objects and compositions — and even when that knowledge is not used properly, LLMs can refine their images. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) observed this when prompting language models to self-correct th ..read more
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