MIT Generative AI Week fosters dialogue across disciplines

In late November, faculty, staff, and students from across MIT participated in MIT Generative AI Week. The programming included a flagship full-day symposium as well as four subject-specific symposia, all aimed at fostering a dialogue about the opportunities and potential applications of generative artificial intelligence technologies across a diverse range of disciplines. “These events are one expression of our conviction…

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Boosting faith in the authenticity of open source software

Open source software — software that is freely distributed, along with its source code, so that copies, additions, or modifications can be readily made — is “everywhere,” to quote the 2023 Open Source Security and Risk Analysis Report. Ninety-six percent of the computer programs used by major industries include open source software, and 76 percent of those programs consist of…

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A computer scientist pushes the boundaries of geometry

More than 2,000 years ago, the Greek mathematician Euclid, known to many as the father of geometry, changed the way we think about shapes. Building off those ancient foundations and millennia of mathematical progress since, Justin Solomon is using modern geometric techniques to solve thorny problems that often seem to have nothing to do with shapes. For instance, perhaps a…

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A flexible solution to help artists improve animation

Artists who bring to life heroes and villains in animated movies and video games could have more control over their animations, thanks to a new technique introduced by MIT researchers. Their method generates mathematical functions known as barycentric coordinates, which define how 2D and 3D shapes can bend, stretch, and move through space. For example, an artist using their tool…

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Synthetic imagery sets new bar in AI training efficiency

Data is the new soil, and in this fertile new ground, MIT researchers are planting more than just pixels. By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional “real-image” training methods. At the core of the approach is a system called StableRep, which doesn't just use any synthetic images; it…

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Three MIT affiliates receive Schmidt awards

Two MIT faculty were recently honored by Schmidt Futures, a philanthropic initiative of Eric and Wendy Schmidt. MathWorks Professor Jörn Dunkel received the 2023 Schmidt Science Polymath award, and professor of computational cognitive science Josh Tenenbaum was named a Schmidt Futures AI2050 Senior Fellow. Also winning a Schmidt Science Polymath award was Surya Ganguli ’98, MNG ’98, who is an…

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Students pitch transformative ideas in generative AI at MIT Ignite competition

This semester, students and postdocs across MIT were invited to submit ideas for the first-ever MIT Ignite: Generative AI Entrepreneurship Competition. Over 100 teams submitted proposals for startups that utilize generative artificial intelligence technologies to develop solutions across a diverse range of disciplines including human health, climate change, education, and workforce dynamics. On Oct. 30, 12 finalists pitched their ideas…

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New method uses crowdsourced feedback to help train robots

To teach an AI agent a new task, like how to open a kitchen cabinet, researchers often use reinforcement learning — a trial-and-error process where the agent is rewarded for taking actions that get it closer to the goal. In many instances, a human expert must carefully design a reward function, which is an incentive mechanism that gives the agent…

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What does the future hold for generative AI?

Speaking at the “Generative AI: Shaping the Future” symposium on Nov. 28, the kickoff event of MIT’s Generative AI Week, keynote speaker and iRobot co-founder Rodney Brooks warned attendees against uncritically overestimating the capabilities of this emerging technology, which underpins increasingly powerful tools like OpenAI’s ChatGPT and Google’s Bard. “Hype leads to hubris, and hubris leads to conceit, and conceit…

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A new optimization framework for robot motion planning

It isn’t easy for a robot to find its way out of a maze. Picture the machines trying to traverse a kid’s playroom to reach the kitchen, with miscellaneous toys scattered across the floor and furniture blocking some potential paths. This messy labyrinth requires the robot to calculate the most optimal journey to its destination, without crashing into any obstacles.…

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Asymmetric Certified Robustness via Feature-Convex Neural Networks

Asymmetric Certified Robustness via Feature-Convex Neural Networks TLDR: We propose the asymmetric certified robustness problem, which requires certified robustness for only one class and reflects real-world adversarial scenarios. This focused setting allows us to introduce feature-convex classifiers, which produce closed-form and deterministic certified radii on the order of milliseconds. Figure 1. Illustration of feature-convex classifiers and their certification for sensitive-class…

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Ghostbuster: Detecting Text Ghostwritten by Large Language Models

The structure of Ghostbuster, our new state-of-the-art method for detecting AI-generated text. Large language models like ChatGPT write impressively well—so well, in fact, that they’ve become a problem. Students have begun using these models to ghostwrite assignments, leading some schools to ban ChatGPT. In addition, these models are also prone to producing text with factual errors, so wary readers may…

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How viAct Revolutionise Digital EHSS Monitoring with Video Analytics?

In an era where technology is rapidly transforming industries, viAct is at the forefront of revolutionising Digital EHSS (Environmental, Health, Safety, and Sustainability) Monitoring. "The EHS Software Market is on a swift upward, expected to reach a value of USD 1.80 billion in 2023. Moreover, with a compound annual growth rate (CAGR) of 12.17%, this market is predicted to expand…

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Using AI to optimize for rapid neural imaging

Connectomics, the ambitious field of study that seeks to map the intricate network of animal brains, is undergoing a growth spurt. Within the span of a decade, it has journeyed from its nascent stages to a discipline that is poised to (hopefully) unlock the enigmas of cognition and the physical underpinning of neuropathologies such as in Alzheimer’s disease. At its…

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Explained: Generative AI

A quick scan of the headlines makes it seem like generative artificial intelligence is everywhere these days. In fact, some of those headlines may actually have been written by generative AI, like OpenAI’s ChatGPT, a chatbot that has demonstrated an uncanny ability to produce text that seems to have been written by a human. But what do people really mean…

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Exclusive Invitation: Join My Talk on AI-Bots This Morning!

Photo by Matthew Osborn on Unsplash Hey Friend, Over the past few years, we’ve shared exciting developments in AI. In the last year, the world of Conversational AI and Chatbots has exploded and I’d love to share my insights and for you to be part of this wave. As the founder of ChatbotsLife, BecomingHuman.Ai, I’m thrilled to personally invite you…

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How Can AI Make Oil & Gas Industry A Safer Place to Work?

The Oil & Gas Industry is one of the most important industries contributing to the world's fuel. In terms of dollar value, it is one of the largest sectors in the world, generating approximately $5 trillion in global revenue as of 2022. The sector is one of the most crucial as it impacts all other sectors, starting from transport to…

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New technique helps robots pack objects into a tight space

Anyone who has ever tried to pack a family-sized amount of luggage into a sedan-sized trunk knows this is a hard problem. Robots struggle with dense packing tasks, too. For the robot, solving the packing problem involves satisfying many constraints, such as stacking luggage so suitcases don’t topple out of the trunk, heavy objects aren’t placed on top of lighter…

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