How do scientists explore Earth's hidden interior - its crust, mantle, and core? The answer lies in earthquake waves. Like X-rays, these seismic waves travel through and reflect off internal ...

Researchers have broken new ground in digital twin technology, creating AI-driven models that don’t just observe but act. From drones to smart cities, this breakthrough brings real-time autonomy to ...

As Generative AI reshapes industries, its overlooked environmental toll and social inequalities demand bold, collective action for a sustainable future. Commentary: A social-environmental impact ...

Groundbreaking book compares AI use in social assessments across nine countries, uncovering why standardized systems fall short—and how context-aware, inclusive AI can better serve diverse societies.

Artificial intelligence is now an integral part of our daily lives, resulting in a pressing need for larger and more complex models. However, the demand for ever-increasing power and computing ...

The University of Oulu’s latest white paper explores how AI, particularly large language models, will revolutionize communication networks and data transmission in the upcoming 6G era. Large Language ...

A new survey from researchers in Shandong charts the rise of omni-modal language models that merge perception, reasoning, and generation across multiple data types, offering a roadmap for building AI ...

Tensor operations underpin nearly every modern computational system, especially artificial intelligence. These operations go far beyond basic arithmetic; they resemble rotating or slicing a Rubik’s ...

Overview and trends of intelligent photonics in emerging technologies. a Scheme summarizing the applications made possible by the synergy between nanophotonics and machine learning methods, ranging ...

Previous research suggests that artificial intelligence (AI) influences organizational resources through automation and augmentation. Building on this foundation, the new study published in the ...

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.

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.