You’ve just put a dollar into a machine to play a song and it stopped playing after a few seconds. You put in another dollar and the tune stops after a minute. You can’t get your dollars back and can’t listen to the song you want. But what if you had known ahead of time what would happen, and could have saved yourself the money and frustration?You’ve just put a dollar into a machine to play a song and it stopped playing after a few seconds. You put in another dollar and the tune stops after a minute. You can’t get your dollars back and can’t listen to the song you want. But what if you had known ahead of time what would happen, and could have saved yourself the money and frustration?Computer Sciences[#item_full_content]
You’ve just put a dollar into a machine to play a song and it stopped playing after a few seconds. You put in another dollar and the tune stops after a minute. You can’t get your dollars back and can’t listen to the song you want. But what if you had known ahead of time what would happen, and could have saved yourself the money and frustration?You’ve just put a dollar into a machine to play a song and it stopped playing after a few seconds. You put in another dollar and the tune stops after a minute. You can’t get your dollars back and can’t listen to the song you want. But what if you had known ahead of time what would happen, and could have saved yourself the money and frustration?[#item_full_content]
When the first large language models were unleashed, it triggered a headache for authorities around the world as they tried to figure out how to satisfy data centers’ endless demand for electricity.When the first large language models were unleashed, it triggered a headache for authorities around the world as they tried to figure out how to satisfy data centers’ endless demand for electricity.Energy & Green Tech[#item_full_content]
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]
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.[#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]
