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.
Financial Times reporter Tom Wilson writes that researchers from MIT and Commonwealth Fusion Systems (CFS) have successfully demonstrated the use of a high-temperature superconductor, which engineers believe can allow for a more compact fusion power plant. “It’s the type of technology innovation that you know shows up every once in a while in a given field,” CFS chief executive, Bob Mumgaard, tells Wilson.
Using an integrative modeling technique, MIT researchers compared dozens of machine learning algorithms to brain scans as part of an effort to better understand how the brain processes language. The researchers found that “neural networks and computational science might, in fact, be critical tools in providing insight into the great mystery of how the brain processes information of all kinds,” writes Anna Blaustein for Scientific American.
Forbes contributor Bruce Dorminey writes that a new study by MIT scientists finds that the surfaces of carbonaceous asteroids may be much more rocky than previously thought. “This news is important for planetary science because we need to sample asteroids to answer fundamental questions such as how the solar system formed and how life came to be on Earth, says postdoctoral fellow Saverio Cambioni.