Lincoln Laboratory

Governor Maura Healey has announced a new initiative aimed at boosting the defense sector in Massachusetts, reports Katie Lannan for GBH. The Massachusetts governor noted that research institutions like MIT Lincoln Lab and Draper have been leaders in defense technology for years, and new startups in fields like AI, cybersecurity and quantum technology also aim to contribute to defense needs. “We want to work together, we want to continue these investments in bigger and stronger ways, looking to keep America secure for another 250 years,” says Healey.

Researchers at MIT’s Lincoln Laboratory are developing “automated electric vessels to map the ocean floor and improve search and rescue missions,” reports Ramen Cromwell for Chronicle. "Ship-based echo sounders cover wide areas but with poor resolution, while undersea vehicles have resolution but search too slowly," says Andrew March, an assistant group leader in MIT Lincoln Laboratory’s Advanced Undersea Systems and Technology Group. "It's called a moonshot. We know less about Earth’s seabed than the moon's surface."

Vijay Gadepally, senior staff member at MIT Lincoln Lab, speaks with New York Times reporter Claire Brown about the impact of AI data centers on the electrical grid. “There’s a lot of things we can do to be better stewards of the power we currently have,” says Gadepally. 

In an effort to develop non-invasive ways to treat depression, PTSD, brain tumors and other conditions, researchers from MIT Lincoln Lab are looking to better understand human consciousness, reports Steph Solis for Axios. “There's the goal to analyze how it could help understand or treat PTSD and mood disorders in veterans,” says Solis of the inspiration for this research, “and then there's the existential question that stumps neuroscientists — how does our human experience arise from brain activity?”

Noman Bashir, a fellow with the MIT Climate and Sustainability Consortium and a postdoc at CSAIL, speaks with Wired reporter Molly Taft about AI and energy consumption. Bashir explains that how quickly a model answers a question has a big impact on its energy use. “The goal is to provide all of this inference the quickest way possible so that you don’t leave their platform,” Bashir says. “If ChatGPT suddenly starts giving you a response after five minutes, you will go to some other tool that is giving you an immediate response.”

Vijay Gadepally, a senior scientist at MIT Lincoln Lab, discusses users can help conserve energy while using AI tools, reports Nicolás Rivero for The Washington Post. Gadepally notes that users can save energy by asking the AI to be concise when you don’t need long answers, as models use more energy for each word they process. “People often mistake these things as having some sort of sentience,” says Gadepally. “You don’t need to say ‘please’ and ‘thank you.’ It’s okay. They don’t mind.”

MIT researchers have developed a superconducting circuit that can increase the speed of quantum processing, reports Aamir Khollam for Interesting Engineering. “This device is a superconducting circuit designed to produce extremely strong nonlinear interactions between particles of light (photons) and matter (qubits),” explains Khollam. “This breakthrough could make operations up to 10 times faster, bringing fault-tolerant, real-world quantum computing a major step closer.”   

Researchers at MIT believe they have demonstrated the strongest non-linear light-matter coupling in a quantum system, reports Bill Bell for Quantum Campus. “Their novel superconducting circuit architecture showed coupling about an order of magnitude stronger than prior demonstrations,” writes Bill. “It could significantly improve the measurements and error corrections needed to increase the accuracy and reliability of quantum computers.” 

MIT researchers have made a key advance in the creating a practical quantum computer by demonstrating “remote entanglement—an essential step in building distributed quantum networks—by sending photons between two quantum processors,” reports Military & Aerospace Electronics. “This breakthrough lays the groundwork for large-scale quantum computing networks and could extend to other quantum computing platforms and the quantum internet.”

Researchers at MIT and elsewhere have developed a new robot aimed at assisting first-responders called SPROUT (short for Soft Pathfinding Robotic Observation Unit), reports WHDH. The robot has a built-in camera and motion sensors so that first responders could “scope out a site, before sending rescue teams in to save survivors.” The robot operates with a “soft, air-inflated tube that unfolds into small spaces,” explains WHDH. “It can maneuver around sharp corners in disaster zones.” 

The US Air Force has renewed a longstanding contract for the continued operation of MIT Lincoln Laboratory, reports Don Seiffert for Boston Business Journal. Lincoln Laboratory’s research is “essential to a robust defense sector and to addressing the rapidly evolving nature of world conflict,” says Ian Waitz, MIT’s vice president for research. “Its rapid prototyping has saved the lives of U.S. service members and supported responses to domestic crises.” He adds that research at Lincoln also “goes to the private sector, enhancing both the nation’s technological advantage and its manufacturing prowess.”

Lincoln Lab Senior Scientist Vijay Gadepally speaks with Washington Post reporter Nicolas Rivero about ways to make AI more sustainable. “Whatever we do, energy usage is likely going to go up,” says Gadepally. “That train has left the station.”

MIT engineers have developed “two new control techniques that have enabled them to achieve a world-record single-qubit fidelity of 99.998 percent using a superconducting qubit called fluxonium,” reports Aman Tripathi for Interesting Engineering. “This breakthrough marks a significant step towards the realization of practical quantum computing,” Tripathi notes. 

Researchers at MIT have developed “Clio,” a new technique that “enables robots to make intuitive, task-relevant decisions,” reports Jennifer Kite-Powell for Forbes. The team’s new approach allows “a robot to quickly map a scene and identify the items they need to complete a given set of tasks,” writes Kite-Powell. 

Researchers at MIT have developed a new method that “enables robots to intuitively identify relevant areas of a scene based on specific tasks,” reports Baba Tamim for Interesting Engineering. “The tech adopts a distinctive strategy to make robots effective and efficient at sorting a cluttered environment, such as finding a specific brand of mustard on a messy kitchen counter,” explains Tamim.