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MIT’s New Tool Simplifies AI Verification Process
Large language models (LLMs), the backbone of modern artificial intelligence (AI), have showcased remarkable abilities but are not free from flaws. One critical issue they face is “hallucination,” where the AI fabricates incorrect or unsupported details. Traditionally, human validators play a crucial role in detecting these inaccuracies, especially in sensitive fields like healthcare and finance.…
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AI’s ‘System 0’ Thinking: A New Cognitive Era
In an era where artificial intelligence is seamlessly integrating into many aspects of human life, a team of researchers has unveiled what could be a revolutionary shift in human cognition. A recent study published in the journal Nature Human Behaviour introduces the concept of “System 0,” a new model of thinking driven by AI that…
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University of Bonn Develops AI for Advanced Drug Discovery
In a groundbreaking advancement, researchers from the University of Bonn have trained an artificial intelligence model to predict potential active ingredients with specific properties, akin to a chemical ChatGPT for molecules. This innovative study, published in the journal Cell Reports Physical Science, holds promise for revolutionizing the field of pharmaceutical research by identifying compounds with…
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Robotic Automation and AI Set to Accelerate Scientific Progress in Laboratories
In a landmark study published in Science Robotics, scientists from the University of North Carolina at Chapel Hill have unveiled a transformative vision for the future of scientific research. By integrating robotic automation and artificial intelligence (AI) into laboratory workflows, they argue, we can dramatically speed up discoveries in fields ranging from health to energy…
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New AI System Revolutionizes IVF Embryo Assessment
Researchers at Weill Cornell Medicine have unveiled a groundbreaking artificial intelligence-based system called BELA, designed to assess the chromosomal status of in vitro-fertilized (IVF) embryos with remarkable precision. This innovative system utilizes time-lapse video images of embryos and maternal age, revolutionizing the traditionally subjective and labor-intensive processes of embryo evaluation. Published in the journal Nature…
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Increasing AI Transparency and Diversity Boosts User Trust, Penn State Study Finds
A new study from Penn State has found that increasing transparency about the diversity of training data used in artificial intelligence (AI) systems can significantly enhance user trust and perceived fairness. The research suggests that disclosing the racial composition of AI training data and the backgrounds of the data labelers helps users make more informed…
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AI Breakthrough Promises to Revolutionize Hospital Quality Reporting
Researchers from the University of California San Diego School of Medicine have unveiled a pioneering study illustrating that advanced artificial intelligence (AI) could transform how hospitals produce quality reports, making the process faster, easier and more efficient while maintaining high accuracy levels. The findings, published in the New England Journal of Medicine (NEJM) AI, demonstrate…
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Study Reveals AI in Remote Sensing is Highly Susceptible to Attacks
A recent study by researchers from Northwestern Polytechnical University and The Hong Kong Polytechnic University has exposed concerning vulnerabilities in artificial intelligence models used for remote object detection and image classification. These weaknesses could impact essential applications such as environmental monitoring, government intelligence and disaster management. The team, led by Shaohui Mei, a professor at…
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University of Zurich Scientists Use AI to Detect Antibiotic Resistance
In a breakthrough that could significantly advance global health care, researchers at the University of Zurich (UZH) have leveraged artificial intelligence (AI) to accelerate the detection of antibiotic-resistant bacteria. This pioneering effort is led by Adrian Egli, a UZH professor at the Institute of Medical Microbiology, and utilizes the powerful GPT-4 AI model developed by…
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Innovative AI Project to Enhance Coastal Storm Response, Led by Rice University
Rice University is leading an interdisciplinary effort to fortify coastal communities against the compounded risks of severe weather, by harnessing the power of responsible artificial intelligence (AI). This initiative aims to enhance the safety and resilience of these vulnerable communities. At the project’s helm is Jamie Padgett, Rice’s Stanley C. Moore Professor in Engineering and…
