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Daniela Rus receives Bavarian Minister-President’s High-Tech Prize

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Autonomous vehicles, Awards, honors and fellowships, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Faculty, Human-computer interaction, MIT Schwarzman College of Computing, Robotics, School of Engineering

Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Panasonic Professor of Computer Science, has received the 2026 High-Tech Prize of the Bavarian Minister-President for her contributions to robotics, artificial intelligence, and autonomous systems. Awarded jointly by the Bavarian State Government and the Bavarian Academy of Sciences and Humanities, it is […]

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Tiny robot boats build floating structures

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Most people think of the waterfront as the edge of the city. A team of MIT researchers sees it as a dynamic, Lego-like construction site.Their new system, called “FloatForm,” is a swarm of small square robotic boats that assemble themselves into larger structures on the water, break apart, and reassemble into something new, all with

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New chip could help tiny robots traverse complex environments

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Augmented and virtual reality, Autonomous vehicles, Computer chips, Computer science and technology, Electrical engineering and computer science (EECS), Energy, Machine Learning, Memory, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, Robotics, School of Engineering

A new chip developed by MIT researchers could help tiny, low-power UAVs avoid obstacles as they zip around tight corners inside an industrial HVAC system to check for gas leaks.The chip allows small autonomous robots and other battery-limited devices to construct detailed 3D maps of their environments in real-time using only about as much power

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Could AI tell you where you left your keys?

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Autonomous vehicles, Computer science and technology, Computer vision, Electrical engineering and computer science (EECS), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Research, Robotics, School of Engineering

An auto factory worker can remember the storage bin where she left a partly assembled component the night before, and quickly return to that spot to pick it up. But robots that may work side-by-side with her would struggle to develop and access this same type of “spatiotemporal” memory.Now, MIT researchers have developed a long-term

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Jinhua Zhao named head of the Department of Urban Studies and Planning

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Jinhua Zhao MCP ’04, SM ’04, PhD ’09 has been appointed head of the Department of Urban Studies and Planning (DUSP), effective July 1. Zhao is the Class of 1941 Professor of Cities and Transportation at MIT.In making the announcement, dean of the MIT School of Architecture and Planning Hashim Sarkis noted that Zhao is a renowned

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What LG and NVIDIA’s talks reveal about the future of physical AI

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LG is currently engaged in exploratory discussions with NVIDIA concerning physical AI, data centres, and mobility. Following a meeting in Seoul between LG CEO Ryu Jae-cheol and Madison Huang, Senior Director of Product Marketing for Omniverse and Robotics at NVIDIA, the core operational dependencies required to run complex automated systems are becoming apparent. While the

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January Delivers Highest New Unicorn Count In More Than 3 Years

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A total of 31 companies joined The Crunchbase Unicorn Board in January, the largest count of companies to join in a single month since June 2022. Collectively, those companies added $9.3 billion in funding and $58.5 billion in value to the board. And underlining the pace at which some startups are now sprinting to billion-dollar-plus

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Top 5 ADAS Annotation Service Providers for Autonomous Vehicles

Artificial Intelligence, Autonomous vehicles

In the automotive domain, ADAS annotation enables the integration of multiple levels of autonomy, ranging from basic features such as lane-keeping and adaptive cruise control to fully autonomous cars. It involves labeling images, videos, LiDAR, and sensor data collected from vehicles, offering multiple levels of autonomy that range from basic features. This blog explains how

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Teaching robots to map large environments

Aeronautical and astronautical engineering, Algorithms, Artificial Intelligence, Autonomous vehicles, Computer science and technology, Computer vision, Disaster response, Electrical engineering and computer science (EECS), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, School of Engineering

A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene and identify its location within that scene as it navigates the treacherous terrain.Researchers have recently started building powerful machine-learning models to perform this complex task using only images from the robot’s onboard cameras, but even

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