Tag: AI in Science
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Tohoku University and Fujitsu Apply Causal AI to Uncover Superconductivity Mechanism in New Functional Material
Breakthrough in Superconductivity Using Causal AI In a landmark collaboration, Tohoku University and Fujitsu Limited have successfully applied causal artificial intelligence (AI) to uncover the underlying mechanism of superconductivity in a promising new functional material. The joint effort demonstrates a practical application of AI to advance fundamental science, offering a roadmap for future discoveries at…
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Witness Black Holes Warping Space and Time in Groundbreaking 3D Films
Introduction: A New Window into Black Hole Physics Scientists and cinephiles alike are poised to witness a dramatic leap in how we visualize the universe’s most mysterious objects. The multimillion-pound TomoGrav project is developing the first-ever 3D films that depict black holes warping space and time. By combining advanced simulations with artificial intelligence, researchers aim…
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AI Helps Build the Most Detailed Milky Way Simulation Ever, Mapping 100 Billion Stars
Revolutionizing Galactic Modeling with AI Researchers have unveiled the most detailed simulation of the Milky Way to date, a landmark achievement in computational astrophysics. By marrying machine learning with traditional numerical models, the project produces a digital galaxy that tracks the motion and evolution of roughly 100 billion stars. The breakthrough not only showcases the…
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AI Tool Maps Research Funding Impact From Grants to Patents and Policies
Overview: A New AI Lens on Research Funding Billions are invested globally in scientific research each year. Yet pinpointing where that money ends up—whether in publications, patents, clinical trials, or policy shifts—has remained challenging. A new machine learning tool, Funding the Frontier (FtF), aims to fix that gap by mapping grant funding to a broad…
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AI tool maps research funding impact from grants to patents, policies and clinical trials
Overview: A new way to track how research funding moves from investment to real-world outcomes Every year, billions are invested worldwide to fuel discovery. Yet funding decisions are often evaluated through a narrow lens—focused on publications and grants—missing the broader ripple effects that shape innovation, policy, and health. A new machine learning tool, Funding the…
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AI Tensor Network Solves Century-Old Physics Puzzle
A Breakthrough in Statistical Physics Researchers from The University of New Mexico (UNM) and Los Alamos National Laboratory (LANL) have unveiled a novel computational framework that tackles a long-standing obstacle in statistical physics. The THOR (Tensors for High-dimensional Object Representation) AI framework applies tensor network algorithms to compress and evaluate the sprawling configurational integrals and…
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A Firewall for Science: How AI Identifies Questionable Journals
In the realm of academic publishing, integrity and reliability are paramount. With the rise of predatory journals—published with little or no peer review, often with the intent to deceive—scientists and researchers are increasingly at risk of having their work published in journals that lack credibility. In an effort to combat this, a groundbreaking Artificial Intelligence…