Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems ...
While AI chatbots offer hope for helping smokers quit, new research finds that many responses lack key medical advice—and some even spread misinformation. Are these digital assistants ready for the ...
As a network of websites with a truly global audience, AZoNetwork is joining the global effort to close the gender gap. Since the first AZoNetwork website, AZoM, was launched in 2000, we have seen ...
Scientists are revolutionizing catalyst research by combining AI-driven automation with human expertise, proving that the smartest labs aren’t just robotic—they’re collaborative. Perspective: Role of ...
Inspired by the physics of galaxy mergers, Torque Clustering brings a paradigm shift to AI, eliminating the need for human-labeled data and unlocking hidden patterns across diverse fields like ...
Researchers have unveiled a breakthrough fault tolerance mechanism that harnesses idle system resources to optimize model training efficiency, reducing computational losses and cutting checkpointing ...
A team of student researchers has developed an easy-to-follow machine-learning tutorial aiming to equip biologists and health professionals with the tools to detect antibiotic resistance—demystifying ...
Researchers at Rutgers University-New Brunswick have developed an AI tool that predicts endangered whale habitats, guiding ships to avoid deadly collisions and supporting marine conservation efforts.
Startups that pivot without clear reasoning or strategic testing risk failure. New research unveils how AI and structured experimentation can help entrepreneurs make impactful, growth-driven pivots ...
*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as definitive, used to guide development decisions, or treated as ...
*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as definitive, used to guide development decisions, or treated as ...
A groundbreaking AI compiler from MIT, SySTeC, slashes computational costs by 30x by automatically optimizing deep-learning algorithms. By harnessing both sparsity and symmetry, this innovation paves ...
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