A new study reveals that while GPT-4 excels at analogical reasoning in standard tests, it struggles with variations, highlighting its reliance on pattern-matching rather than true understanding.

Researchers at OIST have developed an embodied intelligence model that mimics how children learn to generalize by combining sensory inputs and language, offering insights into cognitive development ...

Study reveals that 91% of glaciers in Svalbard, a global warming hotspot, have shrunk significantly over the past 40 years, losing over 800 km². Using AI to analyze satellite data, researchers found ...

Researchers have developed ProtoSnap, an AI-driven approach that precisely identifies and reproduces cuneiform characters, making ancient script interpretation more accurate and accessible.

Artificial intelligence (AI), particularly machine learning, is revolutionizing financial risk management. It enhances productivity, efficiency, and cost reduction by analyzing vast amounts of ...

The escalating frequency and severity of natural disasters worldwide have spurred interest in leveraging artificial intelligence (AI) for disaster management. AI enables predictive modeling, early ...

DeepSeek researchers unveil DeepSeek-V3, a 671B parameter open-source language model with state-of-the-art performance, achieved through innovative architectures and cost-effective training. This ...

A new study published in the Journal of Business Research explores how businesses can combat the rising threat of AI-generated deepfakes, which manipulate audio, video, or images to impersonate ...

ChatGPT earned a B in a semester-long undergraduate aerospace engineering course, acing structured math problems but struggling with open-ended reasoning tasks. The study reveals its limitations in ...

Researchers from Rice University and an international team have secured multimillion-dollar funding to develop next-generation superconductors using AI and quantum geometry, aiming for ...

Researchers from the Chinese Academy of Sciences emphasize the urgent need to align AI data systems with the complex, multi-level nature of scientific data to improve AI performance and reliability.

Researchers found that people distrust artificial moral advisors (AMAs), particularly when they offer utilitarian advice, even if the advice is identical to that of human advisors.