The artificial intelligence (AI) machines that guide the world can be grouped into three main categories: inference machines, learning machines and discovery machines. Researchers at Washington University in St. Louis are tackling the rarest of these machines. A new study points to a better way to build discovery machines, thanks to recent research led by Shantanu Chakrabartty, the Clifford W. Murphy Professor and vice dean for research in the McKelvey School of Engineering at Washington University in St. Louis.The artificial intelligence (AI) machines that guide the world can be grouped into three main categories: inference machines, learning machines and discovery machines. Researchers at Washington University in St. Louis are tackling the rarest of these machines. A new study points to a better way to build discovery machines, thanks to recent research led by Shantanu Chakrabartty, the Clifford W. Murphy Professor and vice dean for research in the McKelvey School of Engineering at Washington University in St. Louis.Machine learning & AI[#item_full_content]

Google said Monday that it had disrupted a criminal group’s attempt to use artificial intelligence to exploit another company’s previously unknown digital vulnerability, adding to heightened worries across government and private industry about AI’s risks for cybersecurity.Google said Monday that it had disrupted a criminal group’s attempt to use artificial intelligence to exploit another company’s previously unknown digital vulnerability, adding to heightened worries across government and private industry about AI’s risks for cybersecurity.Security[#item_full_content]

Transitioning Indian Industry To Solar Is An Economic Necessity

The post Transitioning Indian Industry To Solar Is An Economic Necessity appeared first on Energy Innovation.

Indian manufacturing is on a path of sustained growth, expanding more than 10 percent annually between 2023 and 2025.
The post Transitioning Indian Industry To Solar Is An Economic Necessity appeared first on Energy Innovation.[#item_full_content]

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]

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]

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