MIT Schwarzman College of Computing

MIT researchers have developed a new approach to vaccines that uses “a machine learning twist [that] could put an end to boosters and seasonal variant shots,” reports Devin Coldewey for TechCrunch.

Researchers at MIT have predicted that without improvements in hardware efficiency, energy consumption and emissions from autonomous vehicles could be “comparable to that of data centers today,” reports Sarah Wells for Popular Mechanics. “In order to reduce the future carbon footprint of AVs, scientists will need to make the computing systems of AVs, including smart sensors, far more efficient,” writes Wells. 

Researchers at MIT developed a system that uses artificial intelligence to help predict future risk of developing breast cancer, reports Poppy Harlow for CNN. What this work does “is identifies risk. It can tell a woman that you’re at high risk for developing breast cancer before you develop breast cancer,” says Larry Norton, medical director of the Lauder Breast Center at the Memorial Sloan Kettering Cancer Center.

Mashable visits CSAIL graduate student Gregory Xie to learn about his work with Auxbots, a system of untethered modular robots. “Together in a large assembly,” Xie explains, “we can get very interesting large scale motions of the assembly. These robots are more modular because they’re untethered and the actuation is completely electromechanical.”

Dean Daniel Huttenlocher joins CNBC’s “Squawk on the Street” to discuss the current state of AI and how generative AI advances could impact our future. “These recent advances in generative AI technology really do represent a completely different capability in computing than anything we have experienced,” says Huttenlocher. “This is the first tech that can create humanlike expression.”

MIT researchers have created a new headset, called X-AR, that can help users find hidden or lost items by sending a wireless signal to any item that has a designated tag on it, reports WHDH. The augmented reality headset “allows them to see things that are otherwise not visible to the human eye,” explains Prof. Fadel Adib. “It visualizes items for people and then it guides them towards items.” 

Boston.com reporter Ross Cristantiello writes that MIT researchers have developed a new augmented reality headset that combines computer vision and wireless perception to allow users to track and find objects hidden from view. “The system relies on radio frequency signals that can pass through everyday materials like cardboard, plastic, and wood,” Cristantiello explains.

Postdoc Zach Patterson speaks with Mashable about how he and his colleagues are developing a soft robot inspired by a sea turtle that could potentially "offer a closer look at ocean life and assist in further studying aquatic creatures.” Patterson explains that the robotic turtle is meant to be a “platform for exploring the interaction between soft and rigid materials incorporated into a robotic structure.”

Prof. Hari Balakrishnan has been selected as the recipient of the Marconi Prize for “fundamental discoveries in wired and wireless networking, mobile sensing, and distributed systems,” reports the Press Trust of India. “The Marconi Prize is awarded annually by The Marconi Society to innovators who have significantly contributed to increasing digital inclusivity through advanced information and communications technology.”

MIT engineers have developed an augmented reality headset that uses RFID technology to allow wearers to find objects, reports Tony Ho Tran for The Daily Beast. “The device is intended to assist workers in places like e-commerce warehouses and retail stores to quickly find and identify objects,” writes Tran. “It can also help technicians find tools and items they need to assemble products.” 

An augmented reality headset developed by MIT engineers, called X-AR, uses RFID technology to help users find hidden objects, reports Andrew Paul for Popular Science. “X-AR’s creators were able to guide users with nearly 99 percent accuracy to items scattered throughout a warehouse testing environment,” writes Paul. “When those products were hidden within boxes, the X-AR still even boasted an almost 92 percent accuracy rate.” 

Writing for The Wall Street Journal, Dean Daniel Huttenlocher, former Secretary of State Henry Kissinger and former Google CEO Eric Schmidt explore how generative artificial intelligence “presents a philosophical and practical challenge on a scale not experienced since the beginning of the Enlightenment.” Huttenlocher, Kissinger and Schmidt make the case that “parameters for AI’s responsible use need to be established, with variation based on the type of technology and the context of deployment.”

Popular Science reporter Andrew Paul writes that MIT engineers have developed a new chip for smart phones that blocks unwanted signals, which could “greatly reduce production costs, make devices smaller and more efficient, and potentially even improve battery life.” Graduate student Soroush Araei explains that “our research can make your devices work better with fewer dropped calls or poor connections caused by interference from other devices.”

Prof. Daniela Rus, director of CSAIL, speaks with Scientific American reporter Nora Bradford about recent advancements in the field of soft robotics. “Building soft robots that can work, heal and grow independently could change many areas of human life,” says Rus. “Soft robot hands are enabling a new age for manufacturing.”  

Researchers at MIT have developed a drone that can be controlled using hand gestures, reports Mashable. “I think it’s important to think carefully about how machine learning and robotics can help people to have a higher quality of life and be more productive,” says postdoc Joseph DelPreto. “So we want to combine what robots do well and what people do well so that they can be more effective teams.”