Prof. Ernest Moniz speaks with On Point host Meghna Chakrabarti about President Biden’s recent infrastructure bill and the future of nuclear power in the United States. “Climate change is the problem of our time,” says Moniz. “And we need every tool at our disposal to address that. It’s about the emissions, not about one’s favorite or disfavorite technology and I think that’s the way we have to look at this. It’s all about getting to low carbon.”
A new study by MIT scientists has uncovered evidence of Pauli blocking, confirming that as atoms are chilled and squeezed to extremes their ability to scatter light is suppressed, reports Leah Crane for New Scientist. “This is a very basic phenomenon, but it’s sort of a devil to see,” explains former MIT postdoc Yair Margalit. “You need these extreme conditions to be able to see it – high densities and ultra-low temperatures – and it is difficult to get both of these at once.”
Prof. Emerita Nancy Hopkins, who has made “significant strides in molecular biology and a tireless advocate for gender equity in science,” has been named the recipient of STAT’s 2021 Biomedical Innovation Award, reports Isabella Cueto for STAT. “It’s very easy to forget how much progress there has been because we haven’t arrived where we’d like to be,” said Hopkins at the 2021 STAT Summit, where she was honored. “So we see the problems that still lie ahead. But you periodically have to pause and say, ‘Oh, my gosh, look how far we came.’”
HuffPost reporter Mary Papenfuss writes that a team of archeologists and scientists, including Research Scientist Jahandar Ramezani, have uncovered evidence of social behaviors in dinosaurs. “The bones were segregated by age, with eggs in a common nesting ground,” writes Papenfuss. “Juveniles likely were left in ‘schools’ while adults foraged.”
Scientific American reporter Dana G. Smith spotlights how Prof. Rebecca Saxe and her colleagues have found evidence that regions of the visual infant cortex show preferences for faces, bodies and scenes. “The big surprise of these results is that specialized area for seeing faces that some people speculated took years to develop: we see it in these babies who are, on average, five or six months old,” Saxe tells Smith.
Research scientist Jahandar Ramezani speaks with Scientific American reporter Christopher Intagliata about his new study that provides evidence early dinosaurs exhibited herding behavior. “This is a critical time in the evolution of dinosaurs. This is pretty early on,” says Ramezani. “So the idea is: this type of behavior, this social behavior, may have actually contributed to the evolutionary success of dinosaurs.”
Writing for the NIH Director’s Blog, Dr. Francis Collins highlights how Prof. Tyler Jacks and research scientist Megan Burger’s work exploring T cell exhaustion led to the creation of a “strategy for developing cancer vaccines that can ‘awaken’ T cells and reinvigorate the body’s natural cancer-fighting abilities.” Collins writes that “the researchers hope to learn if this approach to cancer vaccines might work even better when used in combination with immunotherapy drugs, which unleash the immune system against cancer in other ways.”
Writing for The Guardian, Prof. Daniel Rothman examines the history of Earth’s mass extinctions and how Earth seems to experience “a cascade of disruptions when stressed beyond a tipping point." Rothman writes that: “If we do not significantly cut back CO2 emissions, then we risk passing the threshold before the end of the present century.” He adds, “let us not contribute to the risk of a sixth extinction. Efforts to limit CO2 emissions now may pay dividends further into the future than we can imagine.”
The Naked Scientist podcaster Verner Viisainen spotlights how MIT researchers studied vector-based navigation in humans. “What we discovered is actually that we don’t follow the shortest path but actually follow a different kind of optimization criteria which is based on angular deviation,” says Prof. Carlo Ratti.
Popular Science reporter Charlotte Hu writes that MIT researchers have simulated an environment in which socially-aware robots are able to choose whether they want to help or hinder one another, as part of an effort to help improve human-robot interactions. “If you look at the vast majority of what someone says during their day, it has to do with what other [people] want, what they think, getting what that person wants out of another [person],” explains research scientist Andrei Barbu. “And if you want to get to the point where you have a robot inside someone’s home, understanding social interactions is incredibly important.”
MIT researchers have developed a new machine learning system that can help robots learn to perform certain social interactions, reports Brian Heater for TechCrunch. “Researchers conducted tests in a simulated environment, to develop what they deemed ‘realistic and predictable’ interactions between robots,” writes Heater. “In the simulation, one robot watches another perform a task, attempts to determine the goal and then either attempts to help or hamper it in that task.”
Prof. Kerry Emanuel speaks with AP reporter Angela Charlton about nuclear power and climate change. “People are beginning to understand the consequences of not going nuclear,” says Emanuel. Amid a “growing awareness of the rise of climate risks around the world, people are beginning to say, ‘that’s a bit more frightening than nuclear power plants.’”
TechCrunch writer Devin Coldewey reports on the ReSkin project, an AI project focused on developing a new electronic skin and fingertip meant to expand the sense of touch in robots. The ReSkin project is rooted in GelSight, a technology developed by MIT researchers that allows robots to gauge an object’s hardness.
Quanta Magazine reporter Thomas Lewton spotlights Prof. Janet Conrad’s work on MiniBooNE, a neutrino particle detector that was in operation from 2002 until 2019.
Axios reporter Alison Snyder writes that a new study by MIT researchers demonstrates how AI algorithms could provide insight into the human brain’s processing abilities. The researchers found “Predicting the next word someone might say — like AI algorithms now do when you search the internet or text a friend — may be a key part of the human brain's ability to process language,” writes Snyder.