Researchers from The University of Osaka, Kyushu University, and the University of Victoria have developed a new method called Majority Voting SZZ (MV-SZZ) that accurately identifies defect-inducing software commits. By combining detailed code tracking with a majority voting system, the approach reduces false positives and outperforms existing techniques. This improvement could help developers debug software more efficiently and build more reliable systems. The work is published in the journal IEEE Transactions on Software Engineering.Researchers from The University of Osaka, Kyushu University, and the University of Victoria have developed a new method called Majority Voting SZZ (MV-SZZ) that accurately identifies defect-inducing software commits. By combining detailed code tracking with a majority voting system, the approach reduces false positives and outperforms existing techniques. This improvement could help developers debug software more efficiently and build more reliable systems. The work is published in the journal IEEE Transactions on Software Engineering.[#item_full_content]
In managing airport traffic, small errors can cause catastrophe. A group from the CMU Robotics Institute’s AirLab used the Pittsburgh Supercomputing Center’s Bridges-2 supercomputer to create World2Rules, an AI that draws from airport data and historical crash reports to help human controllers spot collisions before they happen. Their paper is published on the arXiv preprint server.In managing airport traffic, small errors can cause catastrophe. A group from the CMU Robotics Institute’s AirLab used the Pittsburgh Supercomputing Center’s Bridges-2 supercomputer to create World2Rules, an AI that draws from airport data and historical crash reports to help human controllers spot collisions before they happen. Their paper is published on the arXiv preprint server.Automotive[#item_full_content]
With a simple click, your hastily taken photo sharpens, a garbled voice message turns into polished text and a chatbot drafts an email in perfect prose. Today’s digital tools, enhanced by artificial intelligence (AI), seem to perform magic on demand.With a simple click, your hastily taken photo sharpens, a garbled voice message turns into polished text and a chatbot drafts an email in perfect prose. Today’s digital tools, enhanced by artificial intelligence (AI), seem to perform magic on demand.Hardware[#item_full_content]
Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that can tackle some tasks exceedingly well. These include computer vision models, systems that can rapidly analyze images and categorize them, recognize objects and faces, or make other accurate predictions.Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that can tackle some tasks exceedingly well. These include computer vision models, systems that can rapidly analyze images and categorize them, recognize objects and faces, or make other accurate predictions.[#item_full_content]
Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that can tackle some tasks exceedingly well. These include computer vision models, systems that can rapidly analyze images and categorize them, recognize objects and faces, or make other accurate predictions.Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that can tackle some tasks exceedingly well. These include computer vision models, systems that can rapidly analyze images and categorize them, recognize objects and faces, or make other accurate predictions.Computer Sciences[#item_full_content]
As traditional computer chips reach their physical limits and artificial intelligence demands more energy than ever, University of Missouri researchers are rethinking how computers work by taking cues from the human brain. The timing is critical. Energy use from AI data centers is projected to double by the end of the decade, raising urgent questions about sustainability.As traditional computer chips reach their physical limits and artificial intelligence demands more energy than ever, University of Missouri researchers are rethinking how computers work by taking cues from the human brain. The timing is critical. Energy use from AI data centers is projected to double by the end of the decade, raising urgent questions about sustainability.Hardware[#item_full_content]
Until recently, AI’s role in research felt like having a useful assistant. It could summarize a paper, clean up a dataset or draft an abstract. Researchers were still in charge of the thinking.Until recently, AI’s role in research felt like having a useful assistant. It could summarize a paper, clean up a dataset or draft an abstract. Researchers were still in charge of the thinking.Machine learning & AI[#item_full_content]
The International Monetary Fund (IMF) warned on Thursday of the risks to global financial stability posed by cyberattacks powered by advanced artificial intelligence tools, calling for greater international cooperation on the issue.The International Monetary Fund (IMF) warned on Thursday of the risks to global financial stability posed by cyberattacks powered by advanced artificial intelligence tools, calling for greater international cooperation on the issue.Business[#item_full_content]
Generative artificial intelligence is being used by 17.8% of the world’s working-age population, but the gap between wealthy and developing nations continues to widen, according to a report published Tuesday by Microsoft.Generative artificial intelligence is being used by 17.8% of the world’s working-age population, but the gap between wealthy and developing nations continues to widen, according to a report published Tuesday by Microsoft.Business[#item_full_content]
A study conducted by researchers at IMDEA Networks Institute has revealed that ChatGPT (OpenAI), Claude (Anthropic), Grok, and Perplexity AI use different types of trackers from Meta, Google, TikTok and other companies, potentially exposing data about users’ conversations and activity.A study conducted by researchers at IMDEA Networks Institute has revealed that ChatGPT (OpenAI), Claude (Anthropic), Grok, and Perplexity AI use different types of trackers from Meta, Google, TikTok and other companies, potentially exposing data about users’ conversations and activity.Security[#item_full_content]
