Astronauts and commercial space travelers are subject to damaging radiation and microgravity, along with other potential injuries. We need better ways to protect them.
MXenes in grooved plastic create durable, heat-tolerant films that twist light beams.
A team of researchers at the University of Michigan employed MXenes, a type of ceramic-like material derived from industrial waste materials to develop heat-tolerant films capable of twisting light beams.
The MXenes were integrated into plastic sheets with microscopic grooves to create sturdy, heat-tolerant films capable of twisting light beams.
This innovation paves the way for imaging applications, such as capturing the hot turbulence of aircraft propulsion systems, helping aerospace engineers improve engine designs for better performance.
Microscopic diffractive robotics merge optics and mobility, revolutionizing imaging, medicine, and materials science.
Called the ship’s nosecone, footage from local media spotted this piece being welded by robots at SpaceX’s facilities in Boca Chica, Teas. These facilities are part of a sprawling complex called Starbase, and they include manufacturing, assembly and testing facilities for the world’s largest rockets.
SpaceX has already started operations at its massive Starfactory. Some operations at the plant include inspecting the thousands of heatshield tiles on the nosecone after they are installed. For Starship Flight 7 and beyond, SpaceX will use upgraded heatshield tiles and a new design for the upper stage to improve its reliability during reentry.
Footage from local media in Texas shows workers and robots working on the Starship nosecone for what is presumably a component for a rocket destined for a future flight. SpaceX’s welding robot is clearly visible as it makes small changes to the nosecone, leading to barely visible sparks. Technicians, on the other hand, work on the nosecone with heatshield tiles installed.
Researchers at the University of Cambridge are close to recreating the movements of the world’s first land animals.
In recent years, engineers have been trying to create hardware systems that better support the high computational demands of machine learning algorithms. These include systems that can perform multiple functions, acting as sensors, memories and computer processors all at once.
Researchers at Peking University recently developed a new reconfigurable neuromorphic computing platform that integrates sensing and computing functions in a single device. This system, outlined in a paper published in Nature Electronics, is comprised of an array of multiple phototransistors with one memristor (MP1R).
“The inspiration for this research stemmed from the limitations of traditional vision computing systems based on the CMOS von Neumann architecture,” Yuchao Yang, senior author of the paper, told Tech Xplore.
Generative artificial intelligence probably won’t change your life in 2025 — at least, not more than it already has, according to Google CEO Sundar Pichai.
When OpenAI launched ChatGPT two years ago, generative AI quickly captured the imagination of users around the world. Now, with the industry’s competitive landscape somewhat established — multiple big tech companies, including Google, have competing models — it’ll take time for another technological breakthrough to shock the AI industry into hyper-speed development again, Pichai said at the New York Times’ DealBook Summit last week.
“I think the progress is going to get harder. When I look at [2025], the low-hanging fruit is gone,” said Pichai, adding: “The hill is steeper … You’re definitely going to need deeper breakthroughs as we get to the next stage.”
NEOWISE contributed to planetary defense efforts with its research to catalog near-Earth objects. Over the past decade, it helped planetary defenders like us and our colleagues study near-Earth objects.
NEOWISE was a game-changing mission, as it revolutionized how to survey near-Earth objects.
The NEOWISE mission continued to use the spacecraft from NASA’s WISE mission, which ran from late 2009 to 2011 and conducted an all-sky infrared survey to detect not only near-Earth objects but also distant objects such as galaxies.
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GPT versus Resident Physicians — A Benchmark Based on Official Board Scores Artificial Intelligence–Powered Rapid Identification of ST-Elevation Myocardial Infarction via Electrocardiogram (ARISE) — A Pragmatic Randomized Controlled Trial Use of GPT-4 to Diagnose Complex Clinical Cases.
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Within a cell, DNA carries the genetic code for building proteins. To build proteins, the cell makes a copy of DNA, called mRNA. Then, another molecule called a ribosome reads the mRNA, translating it into protein. But this step has been a visual mystery; scientists previously did not know how the ribosome attaches to and reads mRNA.
Now, a team of international scientists, including University of Michigan researchers, has used advanced microscopy to image how ribosomes recruit to mRNA while it’s being transcribed by an enzyme called RNA polymerase (RNAP). Their results, which examine the process in bacteria, are published in the journal Science.
“Understanding how the ribosome captures or ‘recruits’ the mRNA is a prerequisite for everything that comes after, such as understanding how it can even begin to interpret the information encoded in the mRNA,” said Albert Weixlbaumer, a researcher from Institut de génétique et de biologie moléculaire et cellulaire in France who co-led the study.