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AI system learns to keep warehouse robot traffic running smoothly

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, Electrical engineering and computer science (EECS), IDSS, Laboratory for Information and Decision Systems (LIDS), Logistics, Machine Learning, MIT Schwarzman College of Computing, Research, Robotics, School of Engineering, Supply chains

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns.To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic […]

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Augmenting citizen science with computer vision for fish monitoring

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS), ai, AI (Artificial Intelligence), Animals, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, data, Ecology, Electrical engineering and computer science (EECS), Environment, Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT Sea Grant, National Science Foundation (NSF), Oceanography and ocean engineering, Research, School of Engineering, Undergraduate Research Opportunities Program (UROP), Video, Volunteering, outreach, public service, Water

Each spring, river herring populations migrate from Massachusetts coastal waters to begin their annual journey up rivers and streams to freshwater spawning habitat. River herring have faced severe population declines over the past several decades, and their migration is extensively monitored across the region, primarily through traditional visual counting and volunteer-based programs. Monitoring fish movement and understanding

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Wristband enables wearers to control a robotic hand with their own movements

ai, AI (Artificial Intelligence), Artificial Intelligence, Assistive technology, Augmented and virtual reality, Biomechanics, Computer vision, Human-computer interaction, Machine Learning, Mechanical engineering, Research, Robotics, School of Engineering, Sensors

The next time you’re scrolling your phone, take a moment to appreciate the feat: The seemingly mundane act is possible thanks to the coordination of 34 muscles, 27 joints, and over 100 tendons and ligaments in your hand. Indeed, our hands are the most nimble parts of our bodies. Mimicking their many nuanced gestures has

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How to create “humble” AI

ai, AI (Artificial Intelligence), Artificial Intelligence, data, Health care, Institute for Medical Engineering and Science (IMES), Medicine, Research, School of Engineering, Technology and society

Artificial intelligence holds promise for helping doctors diagnose patients and personalize treatment options. However, an international group of scientists led by MIT cautions that AI systems, as currently designed, carry the risk of steering doctors in the wrong direction because they may overconfidently make incorrect decisions.One way to prevent these mistakes is to program AI

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A better method for identifying overconfident large language models

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, Electrical engineering and computer science (EECS), Human-computer interaction, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular method involves submitting the same prompt multiple times to see if the model generates the same answer.But this method measures self-confidence, and even the most impressive LLM might be confidently

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Generative AI improves a wireless vision system that sees through obstructions

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Electronics, Imaging, Machine Learning, Media Lab, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, School of Architecture and Planning, School of Engineering, Sensors, Wireless

MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by “seeing” through obstacles. Their methods utilize surface-penetrating wireless signals that reflect off concealed items.Now, the researchers are leveraging generative artificial intelligence models to overcome a longstanding bottleneck that limited the precision of prior approaches. The

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MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Careers, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Industry, Laboratory for Information and Decision Systems (LIDS), Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural Language Processing, Research, Robotics, School of Engineering

The early years of faculty members’ careers are a formative and exciting time in which to establish a firm footing that helps determine the trajectory of researchers’ studies. This includes building a research team, which demands innovative ideas and direction, creative collaborators, and reliable resources. For a group of MIT faculty working with and on artificial

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Can AI help predict which heart-failure patients will worsen within a year?

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Harvard-MIT Health Sciences and Technology, Health care, Health sciences and technology, Jameel Clinic, Machine Learning, Medicine, MIT Schwarzman College of Computing, Research, Research Laboratory of Electronics, School of Engineering

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient’s lungs, legs, feet, and other parts of the body. The condition is chronic and incurable, often leading to arrhythmias or sudden cardiac arrest. For many centuries, bloodletting and leeches were the treatment of choice, famously practiced

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New MIT class uses anthropology to improve chatbots

ai, AI (Artificial Intelligence), Anthropology, Artificial Intelligence, Classes and programs, Design, Electrical engineering and computer science (EECS), Human-computer interaction, MIT Morningside Academy for Design, MIT Schwarzman College of Computing, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, Social media, Social sciences, Students, Technology and society

Young adults growing up in the attention economy — preparing for adult life, with social media and chatbots competing for their attention — can easily fall into unhealthy relationships with digital platforms. But what if chatbots weren’t mere distractions from real life? Could they be designed humanely, as moral partners whose digital goal is to

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A better method for planning complex visual tasks

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer science and technology, Computer vision, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, Robotics, School of Engineering

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing techniques.Their method uses a specialized vision-language model to perceive the scenario in an image and simulate actions needed to reach a goal. Then a second model translates those simulations

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