Microsoft CEO Satya Nadella is expected to take the stand Monday in Elon Musk’s lawsuit against OpenAI, to explain emails that revealed how his company funded the ChatGPT creator’s shift from philanthropic organization to for-profit AI giant.Microsoft CEO Satya Nadella is expected to take the stand Monday in Elon Musk’s lawsuit against OpenAI, to explain emails that revealed how his company funded the ChatGPT creator’s shift from philanthropic organization to for-profit AI giant.Business[#item_full_content]
Before he opened fire on the Florida State University campus last year, killing two people and wounding six others, Phoenix Ikner had a conversation.Before he opened fire on the Florida State University campus last year, killing two people and wounding six others, Phoenix Ikner had a conversation.Machine learning & AI[#item_full_content]
The coffee might be poured by a human hand, but behind the counter something far less traditional is calling the shots at an experimental cafe in Stockholm.The coffee might be poured by a human hand, but behind the counter something far less traditional is calling the shots at an experimental cafe in Stockholm.Hi Tech & Innovation[#item_full_content]
A new approach has been proposed to address the problem of “overconfidence”—one of the most critical risks of artificial intelligence (AI) in areas such as autonomous driving and medical diagnosis, where AI shows high confidence in incorrect predictions. A KAIST research team has developed a training method that enables AI to recognize situations involving unfamiliar or unseen knowledge, laying the foundation for reducing overconfidence and improving reliability.A new approach has been proposed to address the problem of “overconfidence”—one of the most critical risks of artificial intelligence (AI) in areas such as autonomous driving and medical diagnosis, where AI shows high confidence in incorrect predictions. A KAIST research team has developed a training method that enables AI to recognize situations involving unfamiliar or unseen knowledge, laying the foundation for reducing overconfidence and improving reliability.Machine learning & AI[#item_full_content]
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.Computer Sciences[#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]
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]
