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Improving the speed and energy-efficiency of AI agents

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Defense Advanced Research Projects Agency (DARPA), Electrical engineering and computer science (EECS), Electronics, Machine Learning, MIT Schwarzman College of Computing, Research, School of Engineering, Software, Sustainability

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering questions about it.But the way these highly fragmented systems are designed and deployed often causes inefficiencies that can lead to wasted computation, energy, and cost. To improve efficiency, researchers from MIT […]

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Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano

ai, AI (Artificial Intelligence), Artificial Intelligence, Batteries, Cleaner industry, Climate, Computer science and technology, Electronics, Energy, Health, Industry, Innovation and Entrepreneurship (I&E), Materials science and engineering, MIT.nano, Nanoscience and nanotechnology, Photonics, Quantum Computing, School of Engineering, School of Science, semiconductors, Startups, Superconductivity, Technology and society

MIT.nano has announced that 16 startups became active participants in its START.nano program in 2025, more than doubling the number of new companies from the previous year. Aimed at speeding the transition of hard-tech innovation to market, START.nano supports new ventures through the discounted use of MIT.nano shared facilities and a guided access to the

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Helping data centers deliver higher performance with less hardware

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Defense Advanced Research Projects Agency (DARPA), Electrical engineering and computer science (EECS), Electronics, Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, Sustainability

To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device capacity remains underutilized due to performance variability across the devices.MIT researchers have now developed a system that boosts the performance of storage devices by handling three major sources

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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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How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology

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Joseph Paradiso thinks that the most engaging research questions usually span disciplines. Paradiso was trained as a physicist and completed his PhD in experimental high-energy physics at MIT in 1981. His father was a photographer and filmmaker working at MIT, MIT Lincoln Laboratory, and the MITRE Corporation, so he grew up in a house where artists, scientists,

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MEITY Approves 22 Proposals With ₹41,863 Cr Investment Under ECMS

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The Ministry of Electronics and Information Technology (MeitY) has given green-lighted 22 new proposals under the third phase of the Electronics Components Manufacturing Scheme (ECMS).  This involves a projected investment of ₹41,863 crore and an anticipated production value of ₹2,58,152 crore, according to a note shared with media representatives on January 1, bringing the total

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New materials could boost the energy efficiency of microelectronics

Artificial Intelligence, Computer chips, Computer science and technology, Electrical engineering and computer science (EECS), Electronics, Energy, Materials science and engineering, Microsystems Technology Laboratories, MIT Schwarzman College of Computing, MIT.nano, Nanoscience and nanotechnology, Research, School of Engineering, Sustainable computing

MIT researchers have developed a new fabrication method that could enable the production of more energy efficient electronics by stacking multiple functional components on top of one existing circuit.In traditional circuits, logic devices that perform computation, like transistors, and memory devices that store data are built as separate components, forcing data to travel back and

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MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

Aeronautical and astronautical engineering, Artificial Intelligence, Bioinspiration, Drones, Electrical engineering and computer science (EECS), Electronics, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, Robotics, School of Engineering

In the future, tiny flying robots could be deployed to aid in the search for survivors trapped beneath the rubble after a devastating earthquake. Like real insects, these robots could flit through tight spaces larger robots can’t reach, while simultaneously dodging stationary obstacles and pieces of falling rubble.So far, aerial microrobots have only been able

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