Lifeboat Foundation

Computers possess two remarkable capabilities with respect to images: They can both identify them and generate them anew. Historically, these functions have stood separate, akin to the disparate acts of a chef who is good at creating dishes (generation), and a connoisseur who is good at tasting dishes (recognition).

Yet, one can’t help but wonder: What would it take to orchestrate a harmonious union between these two distinctive capacities? Both chef and connoisseur share a common understanding in the taste of the food. Similarly, a unified vision system requires a deep understanding of the visual world.

Now, researchers in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have trained a system to infer the missing parts of an image, a task that requires deep comprehension of the image’s content. In successfully filling in the blanks, the system, known as the Masked Generative Encoder (MAGE), achieves two goals at the same time: accurately identifying images and creating new ones with striking resemblance to reality.

Simply the smell of seafood can make those with an allergy to it violently ill—and therefore more likely to avoid it. The same avoidance behavior is exhibited by people who develop food poisoning after eating a certain meal.

Scientists have long known that the immune system played a key role in our reactions to allergens and pathogens in the environment, but it was unclear whether it played any role in prompting these types of behaviors towards allergic triggers.

According to Yale-led research published July 12 in the journal Nature, it turns out that the immune system plays a crucial role in changing our behaviors.

Two studies found factors on the male Y chromosome that lead to aggressive tumor growth.

A national study, led by researchers at Tufts Medical Center, has found whole genome sequencing (WGS) to be nearly twice as effective as a targeted gene sequencing test at identifying abnormalities responsible for genetic disorders in newborns and infants. The Genomic Medicine in Ill Infants and Newborns (GEMINI) study did, however, find that time to results was longer when carrying out WGS, when compared with a commercially available targeted neonatal gene-sequencing test.

“More than half of the babies in our study had a genetic disorder that would have remained undetected at most hospitals across the country if not for genome sequencing technologies,” said Jonathan Davis, MD, chief of newborn medicine at Tufts Medical Center and co-principal investigator of the study. “Successfully diagnosing an infant’s genetic disorder as early as possible helps ensure they receive the best medical care. This study shows that WGS, while still imperfect, remains the gold standard for accurate diagnosis of genetic disorders in newborns and infants.”

The study, “A Comparative Analysis of Rapid Whole Genomic Sequencing and a Targeted Neonatal Gene Panel in Infants with a Suspected Genetic Disorder: The Genomic Medicine for Ill Neonates and Infants (GEMINI) Study,” is reported in The Journal of the American Medical Association (J AMA).

Learn about the triggers and treatment for non-allergic asthma and how an allergist can help you manage symptoms.

Steve Forbes slams a new electricity billing scheme in California that will use residents’ incomes in part to determine how much is charged.

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Bryan Johnson’s anti-aging routine costs him $2 million a year, and he’s constantly monitored. Yet, the tech CEO says he’s never been happier.

A team at the National Institute of Standards and Technology in Boulder, Colorado, has reported the successful implementation of a 400,000 pixel superconducting nanowire single-photon detector (SNSPD) that they say will pave the way for the development of extremely light-sensitive large-format superconducting cameras. The camera will also prove invaluable for those doing medical research, where the ability to examine organs such as the brain without disturbing tissue is critical.

Superconducting detectors operate at very low temperatures and generate a minimum of excess noise, making them ideal for testing the non-local nature of reality, investigating dark matter, mapping the early universe, and performing quantum computation and communication. Previously there were no large-scale superconducting cameras – even the largest demonstrations have never exceeded 20 thousand pixels.

This was especially true for one of the most promising detector technologies, the superconducting nanowire single-photon detector (SNSPD). These detectors have been demonstrated with system detection efficiencies of 98.0%, sub-3-ps timing jitter, sensitivity from the ultraviolet (250nm) to the mid-infrared (10um), and dark count rates below 6.2e-6 counts per second (cps), but despite more than two decades of development they have never achieved an array size larger than a kilopixel. Here, we report on the implementation and characterization of a 400,000 pixel SNSPD camera, a factor of 400 improvement over the previous state-of-the-art. The array spanned an area 4×2.5 mm with a 5x5um resolution, reached unity quantum efficiency at wavelengths of 370 nm and 635 nm, counted at a rate of 1.1e5 cps, and had a dark count rate of 1e-4 cps per detector (corresponding to 0.13 cps over the whole array).

Heat alerts affect over 100 million people in 15 states from the western U.S. and to South Florida. Widespread extreme heat is expected in the coming days.