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 researchers have developed a new two-step electrochemical process to remove carbon dioxide out of seawater, reports John Fialka for E&E News. The new approach “cuts energy costs and expensive membranes used to collect CO2 to the point where merchant ships that run on diesel power could collect enough CO2 to offset their emissions,” Fialka writes.
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.”
Bloomberg reporter Tanaz Meghjani writes that MIT researchers created a new system to 3D print a customized replica of the human heart, which could help improve replacement valve procedures. The new system “mimics blood flow and pressure in individual diseased hearts, suggesting a way to predict the effects of various replacements and select the best fit, avoiding potential leakage and failure,” Meghjani writes.
MIT engineers have developed a new technique for 3D printing a soft, flexible, custom-designed replica of a patient’s heart, report Gabrielle Emanuel and Amy Sokolow for WBUR. The goal of the research is to “provide realistic models so that doctors, researchers and medical device manufacturers can use them in testing therapies for different types of heart disease,” Emanuel and Sokolow explain.
An ingestible, pill-shaped sensor module, which can pinpoint its location as it moves through the body, has been developed by researchers at MIT and Caltech, reports Andrew Paul for Popular Science. This method “could one day offer an effective means to assess issues like constipation, gastroesophageal reflux disease, and gastroparesis,” writes Paul.
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.”
Researchers from MIT and Caltech have developed a pill-shaped ingestible sensor that can be monitored as it moves through the GI tract, allowing doctors to more easily diagnose gastrointestinal disorders, reports Brian Heater for TechCrunch. “The ability to characterize motility without the need for radiation, or more invasive placement of devices, I think will lower the barrier for people to be evaluated,” says Prof. Giovanni Traverso.
Motherboard reporter Tatyana Woodall writes that a new study co-authored by MIT researchers finds that AI models that can learn to perform new tasks from just a few examples create smaller models inside themselves to achieve these new tasks. “Learning is entangled with [existing] knowledge,” graduate student Ekin Akyürek explains. “We show that it is possible for these models to learn from examples on the fly without any parameter update we apply to the model.”
Researchers at MIT and Massachusetts General Hospital have developed “Sybil” – an artificial intelligence tool that can predict the risk of a patient developing lung cancer within six years, reports Mallika Marshall for CBS Boston.
Prof. Sara Seager and her colleagues write for Physics Today about how the SpaceX Starship could help transform astrophysics missions. “Assuming it is successful, Starship will dramatically enhance our space capabilities in ways that will qualitatively alter how astrophysics missions can be built,” write Seager and her colleagues.