MIT researchers have developed a new hardware that offers faster computation for artificial intelligence with less energy, reports Kyle Wiggers for TechCrunch. “The researchers’ processor uses ‘protonic programmable resistors’ arranged in an array to ‘learn’ skills” explains Wiggers.
Postdoctoral researcher Murat Onen and his colleagues have created “a nanoscale resistor that transmits protons from one terminal to another,” reports Alex Wilkins for New Scientist. “The resistor uses powerful electric fields to transport protons at very high speeds without damaging or breaking the resistor itself, a problem previous solid-state proton resistors had suffered from,” explains Wilkins.
Prof. Jesús del Alamo speaks with Ira Flatow of NPR’s Science Friday about the importance of the CHIPS Act and the pressing need to invest in semiconductor manufacturing in the U.S. “There is a deep connection between leading-edge manufacturing and innovation,” says del Alamo. “Whoever gets the most advanced technology first in the marketplace is going to rip off the greatest profits, and as a result is going to be able to invest into innovation at a greater level and therefore be able to move faster than their competitors.”
Prof. Jesús del Alamo speaks with Ann Fisher of WOSU’s All Sides with Ann Fisher about the importance of supporting domestic chip manufacturing in the U.S., and the need to help encourage students to pursue careers in the semiconductor industry. “Universities and colleges train over 50% of the semiconductor workforce,” says del Alamo, “and so investing in education, investing in the infrastructure, both human but also physical infrastructure that supports education and research, is really critical in the long run.”
Researchers at MIT have developed a wood-like plant material which could eventually serve as a viable wood substitute in various construction projects, reports Tim Newcomb for Popular Mechanics. Researchers adjust “chemicals in the growth process to precisely control the physical and mechanical properties, such as stiffness and density,” explains Newcomb.
The MIT AI Hardware Program seeks to bring together researchers from academia and industry to “examine each step of designing and manufacturing the hardware behind AI-powered technologies,” reports Emily Bamforth for EdScoop. “This program is about accelerating the development of new hardware to implement AI algorithms so we can do justice to the capabilities that computer scientists are developing,” explains Prof. Jesús del Alamo.
The MIT AI Hardware Program is aimed at bringing together academia and industry to develop energy-optimized machine-learning and quantum-computing systems, reports Katyanna Quach for The Register. “As progress in algorithms and data sets continues at a brisk pace, hardware must keep up or the promise of AI will not be realized,” explains Professor Jesús del Alamo. “That is why it is critically important that research takes place on AI hardware."
Indian Express reporter Sethu Pradeep writes that MIT researchers have developed a low-energy security chip designed to prevent side channel attacks on smart devices. “It can be used in any sensor nodes which connects user data,” explains graduate student Saurav Maji. “For example, it can be used in monitoring sensors in the oil and gas industry, it can be used in self-driving cars, in fingerprint matching devices and many other applications.”
Prof. Jesús del Alamo speaks with Bloomberg Radio’s Janet Wu about a new report by MIT researchers that explores how the U.S. can regain leadership in semiconductor manufacturing and production. “Leadership in microelectronics is really critical for economic progress and also security concerns,” says del Alamo.
A new white paper by MIT researchers underscores the importance of regaining the U.S.’s innovation leadership in the area of semiconductor manufacturing and calls for increased investment at the research level to help advance this field, reports Stephen Shankland for CNET. "The hollowing out of semiconductor manufacturing in the US is compromising our ability to innovate in this space and puts at risk our command of the next technological revolution,” write the report’s authors. “To ensure long-term leadership, leading-edge semiconductor manufacturing in the US must be prioritized and universities activities have to get closer to it."
Graduate student Ashley Beckwith speaks with BBC Radio 5 about her work developing a new concept for growing wood in the lab, as part of an effort to supplement traditional forestry methods. "We dedicate a lot of resources to growing whole plants, when all we use really is a very small portion of the plant,” says Beckwith. “So somehow we needed to figure out a more strategic way to reproduce materials that isn't so reliant on the land."
Writing for Wired, Keith Gillogly spotlights how MIT researchers have devised a new technique that could lead to the development of lab-grown wood and other biomaterials. “The hope is that, if this becomes a developed process for producing plant materials, you could alleviate some of [the] pressures on our agricultural lands. And with those reduced pressures, hopefully we can allow more spaces to remain wild and more forests to remain in place,” says graduate student Ashley Beckwith,
Fast Company reporter Kristin Toussaint writes about how MIT researchers have developed a new technique for growing wood-like plant tissues in the lab. The work, they say, is still in its very early stages, but provides a starting point to a new way of producing biomaterials. “It’s a process that eventually could help accelerate our shift away from plastics and other materials that end up in landfill toward materials that can biodegrade,” writes Toussaint.
TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a new method for growing plant tissues in a lab. “Potential applications of lab-grown plant material are significant,” writes Etherington, “and include possibilities in both agriculture and in construction materials.”
A sensor developed by MIT researchers could make diagnosing sepsis easier, quicker and more affordable, reports Darrell Etherington for TechCrunch. Etherington explains that the sensor, which “employs microfluidics to detect the presence of key proteins in the blood,” could have “a huge potential impact, as sepsis is one of the leading causes of death in hospitals.”