Category: AI

  • AI Systems Show Human-Like Biases, Study Finds

    Artificial intelligence systems, much like humans, are vulnerable to social identity biases, according to a new study conducted by a team of scientists from New York University and the University of Cambridge. The research reveals that AI models exhibit tendencies to favor “ingroups” and exhibit hostility toward “outgroups,” a finding that could have far-reaching consequences…

  • MIT Researchers Unveil Technique to Reduce Bias in AI Models, Enhancing Fairness and Accuracy

    Researchers at the Massachusetts Institute of Technology (MIT) have unveiled a new technique that reduces bias in machine-learning models while maintaining or even enhancing their overall accuracy. This breakthrough holds the potential to mitigate the risks posed by AI systems that often underperform for underrepresented groups. Machine-learning models tend to falter when making predictions for…

  • Novel AI Solves Engineering Problems With Unprecedented Speed

    Engineering and medical research are on the brink of a revolution thanks to a novel AI framework called DIMON (Diffeomorphic Mapping Operator Learning). Developed by a team at Johns Hopkins University, this groundbreaking technology enables personal computers to swiftly solve complex mathematical problems, a task traditionally reserved for supercomputers. The innovation, detailed in an article…

  • Revolutionary AI Model Translates Genetic Code of Plants

    In a groundbreaking collaboration, plant researchers from the John Innes Centre and computer scientists from the University of Exeter have unveiled Plant RNA-FM, believed to be the first artificial intelligence (AI) model that understands the genetic “language” of plants. This innovative model marks a significant milestone in plant science, with far-reaching implications for agriculture, environmental…

  • Breakthrough Algorithm Detects Driver Drowsiness

    Researchers from universities in the United Arab Emirates and Algeria have made significant advancements in driver safety by developing an algorithm that detects driver drowsiness with unprecedented accuracy. The innovative approach leverages machine learning (ML) and deep learning (DL) algorithms to prevent accidents caused by sleepy driving. According to the National Highway Traffic Safety Administration,…

  • Empowering Mental Health: AI Model Marks a New Era in Depression Diagnosis

    Depression affects approximately 280 million people globally, and diagnosing it accurately has always been a significant challenge. Researchers at Kaunas University of Technology (KTU) have made a breakthrough in this field by developing an artificial intelligence (AI) model that can identify depression with exceptional precision by analyzing both speech patterns and brain neural activity. “Depression…

  • How AI Might Influence Human Evolution Over Time

    Artificial intelligence is transforming our world in unprecedented ways, bringing convenience and advances but also raising profound questions about its long-term impact on humanity. A new paper authored by Rob Brooks and published in The Quarterly Review of Biology sheds light on the ways AI might steer human evolution. Titled “How Might Artificial Intelligence Influence…

  • AI Breakthrough in Brain Tumor Detection Could Revolutionize Diagnosis

    Scientists have successfully trained artificial intelligence (AI) models to distinguish brain tumors from healthy tissue in MRI scans, according to a new study published in Biology Methods and Protocols by Oxford University Press. Researchers at Boston University have taken significant strides in utilizing AI for medical diagnostics. Their AI models can detect brain tumors with…

  • Mount Sinai Researchers Devise AI Strategy to Cut Health Care Costs

    A new study conducted by researchers at the Icahn School of Medicine at Mount Sinai has revealed novel strategies for deploying large language models (LLMs), a form of advanced artificial intelligence (AI), in health care systems. The strategies, detailed in a paper published in npj Digital Medicine, aim to maintain cost efficiency and high performance,…

  • Common Method to Test AI Language Model Leaks Could Be Flawed, Researchers Find

    Researchers from the University of Virginia School of Engineering and Applied Science and the University of Washington have unveiled a significant flaw in a common method used to test for potential data leaks in large language models (LLMs). The team highlighted these findings in a paper published for peer review on July 10 and presented…