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HomeMachine Learning and Artificial Intelligence

Machine Learning and Artificial Intelligence

  • Explainability is a must for older adults to trust AI, study shows
    Voice-activated, conversational artificial intelligence (AI) agents must provide clear explanations for their suggestions, or older adults aren't likely to trust them. That's one of the main findings from a study by AI Caring on what older adults expect from explainable AI (XAI).... Read more
  • AI at war: Five things to know about Project Maven
    A Pentagon AI program called Project Maven is at the center of the US strikes against Iran and potentially one of the most consequential transformations of modern warfare.... Read more
  • AI companions can comfort lonely users but may deepen distress over time
    AI companions are always available, never judge, never tire and never demand anything in return. If someone is struggling with loneliness, this frictionlessness can seem profoundly appealing. However, new research shows that in the long term, seeking emotional support from an AI companion can pull users away from important human... Read more
  • 'More is Different': Research shows scale alone does not explain AI's power—specialization and cooperation do
    One of the most influential scientific and philosophical viewpoints is "More is Different," introduced in 1972 by Nobel Prize–winning physicist Philip W. Anderson, highlighting the limitations of the reductionist approach. The emergent properties cannot be derived from the fundamental laws that govern their elementary particles. The generalization of this approach... Read more
  • Living brain cells enable machine learning computations
    A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial systems. By integrating cultured neuronal networks into a machine learning framework, the team showed that these biological systems... Read more
  • New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning
    In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement learning (RL) algorithm to learn faster and more stably than conventional approaches.... Read more
  • Rivalry and collaboration attitudes: Study finds writers need both to thrive in the age of AI
    When a screenwriter told New York University researchers last year that letting AI do her work would make her "miserable inside," she was onto something. A follow-up study from NYU's Tandon School of Engineering and Stern School of Business finds that the instinct to compete with generative AI, rather than... Read more
  • Microsoft to invest $10 bn for Japan AI data centers
    Microsoft said Friday it will invest $10 billion in Japan over the next four years to build artificial intelligence data centers and related infrastructure.... Read more
  • New research could empower people without AI expertise to help create trustworthy AI applications
    Involving people without AI expertise in the development and evaluation of artificial intelligence applications could help create better, fairer, and more trustworthy automated decision-making systems, new research suggests. After enlisting members of the public to evaluate the potential impacts of two real-world applications, researchers from UK universities will present a... Read more
  • Crashing waves vs. rising tides: Overturning prior views about how AI could overtake human workers
    Anthropic CEO Dario Amodei has said that AI could surpass "almost all humans at almost everything" shortly after 2027. While AI's capabilities are certainly improving, such rapid progress might seem at odds with findings that show AI is still failing at 95%+ of remote freelance projects, and continues to struggle... Read more
  • New method predicts the success of LLMs on untried tasks with high accuracy
    A team from the Universitat Politècnica de València, part of the Valencian University Research Institute for Artificial Intelligence (VRAIN) and ValgrAI, has participated in the development of ADeLe, a new methodology that offers precise explanations and predictions regarding whether large language models (LLMs) will succeed or fail at specific new... Read more
  • New AI testing method flags fairness risks in autonomous systems
    Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.... Read more
  • Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the start
    Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the AI system introduced the bias, as most AI systems display their final decision without... Read more
  • 'Moltbook' risks: The dangers of AI-to-AI interactions in health care
    A new report examines the emerging risks of autonomous AI systems interacting within clinical environments. The article, "Emerging Risks of AI-to-AI Interactions in Health Care: Lessons From Moltbook," appears in the Journal of Medical Internet Research. The work explores a critical new frontier: as high-risk AI agents begin to communicate... Read more
  • New app designed to improve conference experience
    A new app developed by Yun Huang, associate professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, aims to make navigating conferences less work and more fun, so that attendees can meet others, discover fresh ideas, and "experience academic life as an exciting adventure."... Read more

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