Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have pioneered a new machine learning method—called X-RAI (X-Ray single particle imaging with Amortized Inference)—that can “look” at millions of X-ray laser-generated images and create a three-dimensional reconstruction of the target particle. The team recently reported their findings in Nature Communications.Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have pioneered a new machine learning method—called X-RAI (X-Ray single particle imaging with Amortized Inference)—that can “look” at millions of X-ray laser-generated images and create a three-dimensional reconstruction of the target particle. The team recently reported their findings in Nature Communications.Computer Sciences[#item_full_content]
By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new insights and strategies for designing energy-efficient optical computing systems.By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new insights and strategies for designing energy-efficient optical computing systems.[#item_full_content]
Paper packaging is a sustainable alternative to plastic. However, as it is permeable to air, food packaged in paper loses its flavor over time, and undesirable substances such as solvents can penetrate the packaging. Up to now, extensive tests were necessary for each type of paper to determine to what extent and how quickly this happens.Paper packaging is a sustainable alternative to plastic. However, as it is permeable to air, food packaged in paper loses its flavor over time, and undesirable substances such as solvents can penetrate the packaging. Up to now, extensive tests were necessary for each type of paper to determine to what extent and how quickly this happens.Engineering[#item_full_content]
As artificial intelligence tools like ChatGPT become an increasingly popular avenue for people seeking personal therapy and emotional support, the dangers that this can present—especially for young people—have made plenty of headlines. What hasn’t received as much attention is employers using generative AI to assess workers’ psychological well-being and provide emotional support in the workplace.As artificial intelligence tools like ChatGPT become an increasingly popular avenue for people seeking personal therapy and emotional support, the dangers that this can present—especially for young people—have made plenty of headlines. What hasn’t received as much attention is employers using generative AI to assess workers’ psychological well-being and provide emotional support in the workplace.Security[#item_full_content]
It’s becoming increasingly difficult to make today’s artificial intelligence (AI) systems work at the scale required to keep advancing. They require enormous amounts of memory to ensure all their processing chips can quickly share all the data they generate in order to work as a unit.It’s becoming increasingly difficult to make today’s artificial intelligence (AI) systems work at the scale required to keep advancing. They require enormous amounts of memory to ensure all their processing chips can quickly share all the data they generate in order to work as a unit.Electronics & Semiconductors[#item_full_content]
Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it was also easy to stump them. The models, which rely on language patterns to respond to users’ queries, often failed at math problems and were not good at complex reasoning. Suddenly, however, they’ve gotten a lot better at these things.Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it was also easy to stump them. The models, which rely on language patterns to respond to users’ queries, often failed at math problems and were not good at complex reasoning. Suddenly, however, they’ve gotten a lot better at these things.Machine learning & AI[#item_full_content]
Researchers have developed a new algorithm that combines two processes for personalizing robotic prosthetic devices to both optimize the movement of the prosthetic limb and—for the first time—also help a human user’s body engage in a more natural walking pattern. The new approach can be used to help restore and maintain various aspects of user movement, with the goal of addressing health challenges associated with an amputation.Researchers have developed a new algorithm that combines two processes for personalizing robotic prosthetic devices to both optimize the movement of the prosthetic limb and—for the first time—also help a human user’s body engage in a more natural walking pattern. The new approach can be used to help restore and maintain various aspects of user movement, with the goal of addressing health challenges associated with an amputation.[#item_full_content]
One of the things that AI doesn’t have that humans have in abundance is fingerprints.One of the things that AI doesn’t have that humans have in abundance is fingerprints.Hi Tech & Innovation[#item_full_content]
Yann LeCun, an artificial intelligence pioneer who runs a research lab at Meta Platforms Inc., told employees that he will depart the social media giant at the end of the year and start a new company, according to a memo obtained by Bloomberg News.Yann LeCun, an artificial intelligence pioneer who runs a research lab at Meta Platforms Inc., told employees that he will depart the social media giant at the end of the year and start a new company, according to a memo obtained by Bloomberg News.Hi Tech & Innovation[#item_full_content]
In late September, the German airline Deutsche Lufthansa AG told analysts and investors that it planned to eliminate 4,000 administrative positions by the end of the decade. Among the reasons it cited was “the increased use of artificial intelligence.”In late September, the German airline Deutsche Lufthansa AG told analysts and investors that it planned to eliminate 4,000 administrative positions by the end of the decade. Among the reasons it cited was “the increased use of artificial intelligence.”Business[#item_full_content]
