Prof. Ron Weiss co-founded Strand Therapeutics, a biotech company developing mRNA therapies, reports Emily Mullin for Wired. “The notion is that genetic circuits can really have significant impact on safety and efficacy,” says Weiss. “This begins to really open up the door for creating therapies whose sophistication can match the underlying complexity of biology.”
In a new study examining the potential impact of AI on jobs that employ computer vision, MIT researchers found, “a vast majority of jobs previously identified as vulnerable to AI are not economically beneficial for employers to automate at this time,” reports Catherine Thorbecke for CNN. “In many cases, humans are the more cost-effective way, and a more economically attractive way, to do work right now,” says Research Scientist Neil Thompson, director of the FutureTech Research Project at CSAIL. “What we’re seeing is that while there is a lot of potential for AI to replace tasks, it’s not going to happen immediately.”
A new working paper by MIT researchers finds that artificial intelligence is not currently a cost-effective replacement in jobs where computer vision is employed, reports Saritha Rai for Bloomberg. “Our study examines the usage of computer vision across the economy, examining its applicability to each occupation across nearly every industry and sector,” explains Research Scientist Neil Thompson, director of the FutureTech Research Project at CSAIL. “We show that there will be more automation in retail and healthcare, and less in areas like construction, mining or real estate.”
Prof. Jonathan Weissman and his colleagues have developed a new tool for monitoring changes in human blood cells, which could one day help researchers predict disease risk, reports Megan Molteni for STAT. “The technology paves the way for a day in the not too distant future where it is conceivable that from a simple blood draw, a doctor could get a sense of what’s going on in that patient’s bone marrow,” writes Molteni, “picking up perturbations there that could help predict a diverse range of diseases.”
A new working paper by MIT researchers focuses on whether human work, including vision tasks, are worth replacing with AI computer vision, reports Jeremy Hsu for New Scientist. “There are lots of tasks that you can imagine AI applying to, but actually cost-wise you just wouldn’t want to do it,” says Research Scientist Neil Thompson, director of the FutureTech Research Project at CSAIL.
Researchers at MIT have released a new working paper that aims to quantify the severity and speed with which AI systems could replace human workers, reports Hiawatha Bray for The Boston Globe. The paper concluded that “it’s not enough for AI systems to be good at tasks not performed by people,” explains Bray. “The system must be good enough to justify the cost of installing it and redesigning the way a job is done.”
Researchers from MIT and elsewhere have proposed a new method to look for primordial black holes (PMBs), reports Jackie Appel for Popular Mechanics. “If there are as many as the team thinks there should be, and they interact with gravity as we expect them to, they should be zooming around in a way that some of them should pass close by various objects in our solar system – including Earth,” explains Appel. “And if that happens, it should actually be enough to disturb the natural orbits of these objects in a way that we can measure.”
A new working paper by MIT researchers predicts “only 23% of wages linked to vision-related tasks could be feasibly cost-effectively replaced by AI,” reports Gil Press for Forbes. The researchers “argue that their findings apply also to generative AI or the automation of language-related tasks,” writes Press.
Researchers at MIT have discovered how a new computational imaging algorithm can capture user interactions through ambient light sensors commonly found in smartphones, reports Davey Winder for Forbes. “By combining the smartphone display screen, an active component, with the ambient light sense, which is passive, the researchers realized that capturing images in front of that screen was possible without using the device camera,” explains Winder.
Carmen Martin-Alonso PhD '23 speaks with Zakiya Whatley on the Science podcast to discuss her recent research focused on developing new methods to improve liquid biopsies for cancer. “I think this is super, super promising for the field of oncology where having more sensitive ctDNA-based liquid biopsies could really transform patient management,” says Alonso. “And in the same way as radio label converse agents have transformed imaging, we think that priming agents could transform the utility of liquid biopsies.”
Javier Ramos '12, SM '14, co-founder of InkBit, and his colleagues have developed a, “3D inkjet printer that uses contact-free computer vision feedback to print hybrid objects with a broad range of new functional chemistries,” reports Ed Brown for Tech Briefs. “Our vision for Inkbit is to reshape how the world thinks about production, from design to execution and make our technology readily available,” says Ramos. “The big opportunity with 3D printing is how to disrupt the world of manufacturing — that’s what we're focused on.”
The Economist spotlights new research by Prof. Ivan Werning suggesting a refined economic model to address the post-pandemic economy. Werning’s model adjusts “not just to a shift in demand from services to goods, but to supply-chain disruption, energy shocks and employees in some sectors working from home,” explains The Economist. “As such, inflation moved through the economy in waves, starting in select goods then spreading out.”
Bloomberg reporter Boyan Ivanchev spotlights research by Prof. Drazen Prelec and Prof. Duncan Simester that finds, “credit card buyers were willing to pay over 100% more for tickets, due to the behavioral pattern that psychologically causes the credit card buyer to perceive the purchase as a type of deferred payment, and therefore, not immediately feel the psychological discomfort, as when letting this amount go when paying cash.”
Forbes contributor Jamie Carter spotlights a new study co-authored by MIT scientists that suggests, “the absence of carbon dioxide in a rocky planet’s atmosphere—relative to others in the same star system—may indicate the presence of liquid water on the planet’s surface.”
Scientific American reporter Payal Dhar spotlights how MIT engineers developed a beating, biorobotic replica of the human heart that could be used to “simulate the workings of both a healthy organ and a diseased one.” The replica, "which pumps a clear fluid instead of blood, is hooked up to instruments that measure blood flow, blood pressure, and more," writes Dhar. "It’s also customizable: the user can change the heart rate, blood pressure and other parameters, then watch how these changes affect the heart’s function in real time.”