Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming and multistep planning. But developing reasoning models demands an enormous amount of computation and energy due to inefficiencies in the training process. While a few of the high-power processors continuously work through complicated queries, others in the group sit idle.Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming and multistep planning. But developing reasoning models demands an enormous amount of computation and energy due to inefficiencies in the training process. While a few of the high-power processors continuously work through complicated queries, others in the group sit idle.[#item_full_content]
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming and multistep planning. But developing reasoning models demands an enormous amount of computation and energy due to inefficiencies in the training process. While a few of the high-power processors continuously work through complicated queries, others in the group sit idle.Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming and multistep planning. But developing reasoning models demands an enormous amount of computation and energy due to inefficiencies in the training process. While a few of the high-power processors continuously work through complicated queries, others in the group sit idle.Computer Sciences[#item_full_content]
Artificial intelligence may be better than people at spotting fake faces in photos—but humans still have the upper hand when those fakes start moving. In a recent study, psychologists and computer scientists at the University of Florida found that AI programs were up to 97% accurate at detecting pictures of deepfake faces. Participants in the study performed no better than chance.Artificial intelligence may be better than people at spotting fake faces in photos—but humans still have the upper hand when those fakes start moving. In a recent study, psychologists and computer scientists at the University of Florida found that AI programs were up to 97% accurate at detecting pictures of deepfake faces. Participants in the study performed no better than chance.Machine learning & AI[#item_full_content]
As artificial intelligence (AI) drives explosive growth in data centers, communities across the U.S. are facing rising electricity costs, new industrial development, and mounting strain on an aging power grid.As artificial intelligence (AI) drives explosive growth in data centers, communities across the U.S. are facing rising electricity costs, new industrial development, and mounting strain on an aging power grid.Business[#item_full_content]
Suno CEO Mikey Shulman pulls up a chair to the recording studio desk where a research scientist at his artificial intelligence company is creating a new song. The flute line sounds promising. The percussion needs work.Suno CEO Mikey Shulman pulls up a chair to the recording studio desk where a research scientist at his artificial intelligence company is creating a new song. The flute line sounds promising. The percussion needs work.Machine learning & AI[#item_full_content]
The rapid growth of data centers that support artificial intelligence is reshaping how electricity systems operate across the United States.The rapid growth of data centers that support artificial intelligence is reshaping how electricity systems operate across the United States.Energy & Green Tech[#item_full_content]
The Care Bears taught a generation of kids that sharing is caring, but not everyone has carried this principle into adulthood. Researchers at Michigan State University have found a new angle to promote cooperation: artificial intelligence (AI). The results of this study, titled “Promoting cooperation in the public goods game using artificial intelligent agents,” are published in npj Complexity.The Care Bears taught a generation of kids that sharing is caring, but not everyone has carried this principle into adulthood. Researchers at Michigan State University have found a new angle to promote cooperation: artificial intelligence (AI). The results of this study, titled “Promoting cooperation in the public goods game using artificial intelligent agents,” are published in npj Complexity.[#item_full_content]
The Care Bears taught a generation of kids that sharing is caring, but not everyone has carried this principle into adulthood. Researchers at Michigan State University have found a new angle to promote cooperation: artificial intelligence (AI). The results of this study, titled “Promoting cooperation in the public goods game using artificial intelligent agents,” are published in npj Complexity.The Care Bears taught a generation of kids that sharing is caring, but not everyone has carried this principle into adulthood. Researchers at Michigan State University have found a new angle to promote cooperation: artificial intelligence (AI). The results of this study, titled “Promoting cooperation in the public goods game using artificial intelligent agents,” are published in npj Complexity.Computer Sciences[#item_full_content]
A new glove with more than three dozen actuators across all five fingers and the palm, developed by Cornell researchers, aims to reduce swelling for people suffering from edema. The glove, known as EdemaFlex, was proven safe for unsupervised home use in a seven-participant study, with hand volume decreasing by up to 25% after one 30-minute session.A new glove with more than three dozen actuators across all five fingers and the palm, developed by Cornell researchers, aims to reduce swelling for people suffering from edema. The glove, known as EdemaFlex, was proven safe for unsupervised home use in a seven-participant study, with hand volume decreasing by up to 25% after one 30-minute session.[#item_full_content]
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, infrastructure monitoring, robotics, and autonomous systems. However, collecting annotated defect examples at a large scale is costly, and existing 3D anomaly detection methods either require templates or heavy memory, multiple inference passes, and brittle heuristic clustering. These shortcomings limit real-life deployment.The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, infrastructure monitoring, robotics, and autonomous systems. However, collecting annotated defect examples at a large scale is costly, and existing 3D anomaly detection methods either require templates or heavy memory, multiple inference passes, and brittle heuristic clustering. These shortcomings limit real-life deployment.[#item_full_content]
