The more interactive a mobile app or artificial intelligence (AI) chatbot is, the more playful they are perceived to be, with users letting their guard down and risking their privacy, according to a ...

A new interdisciplinary framework reveals how machines and humans generalize knowledge in fundamentally different ways, a breakthrough that could shape the future of sustainable, human-aligned AI.

Artificial intelligence (AI) is often associated with supercomputers and massive data centers, but Kennesaw State University researcher Bobin Deng is aiming for something more accessible through a new ...

A pioneering study led by the University of Oxford in collaboration with international partners has applied AI for the first time to count the Great Wildebeest Migration from satellite images.

A cutting-edge AI model, powered by drone imaging, provides farmers with a faster and more reliable way to pinpoint high-yield wheat varieties, paving the way for climate-resilient crops and enhanced ...

Equipped with AI and advanced imaging tools, aerial robots from the University of Minnesota offer a game-changing solution to track and analyze wildfire smoke, with far-reaching implications for air ...

While AI scribes are heralded as a breakthrough for reducing documentation burdens, experts caution that unanswered questions on reliability, ethics, and patient safety must be addressed before ...

From waste oils to algae, deep learning models are unlocking new efficiencies in biodiesel production, helping researchers and manufacturers overcome cost, sustainability, and scalability hurdles in ...

Environmental science integrates diverse disciplines, such as ecology, hydrology, and climate science, requiring models that can understand specialized jargon and heterogeneous data. While ...

With AI tools becoming central to digital pathology, a new checklist offers a practical solution to improve how studies are reported, ensuring clarity, reproducibility, and real-world adoption.

Advances in artificial intelligence, particularly large language models (LLMs), have been driven by the "scaling law" paradigm: performance improves with more data, computation, and larger models.

A next-generation algorithm bridges the gap between precision and speed in navigation, unlocking efficient GNSS/INS integration for autonomous driving, robotics, and intelligent mobility. Research: ...