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How can we prevent AI models from cannibalizing themselves when human-generated data runs out? Scientists say they've found the answer.
Adding an element of human touch could be the key to avoiding AI model collapse, new research finds.
New device could make processors run 1,000 times faster without additional waste heat — scientists say it could reduce data center energy demands
New device could make processors run 1,000 times faster without additional waste heat — scientists say it could reduce data center energy demands A new device could allow computer processors to operate significantly faster, without generating waste heat. Researchers in Japan have created a device that promises to boost computer processing speeds, without generating massive amounts of additional heat. Two of the limiting factors in high-performance computing, especially for the processors...
'The best solution is to murder him in his sleep': AI can learn violent tendencies from each other despite zero references to violence in training data
'The best solution is to murder him in his sleep': AI can learn violent tendencies from each other despite zero references to violence in training data Scientists found that AI models can inherit a taste for murder (or owls) from other models' training data. Large language models (LLMs) are secretly teaching each other unwanted habits through seemingly benign training data, scientists say. The phenomenon, known as "subliminal learning," occurs when a pretrained "teacher" artificial...
$O(n +f(k))$: Truly Linear FPT
Announce Type: new Abstract: Parameterized complexity has always been concerned with practical computing: by confining combinatorial explosion to a secondary parameter $k$, one can uncover why and how many NP-hard problems are effectively tackled in practice. Today, however, the scale of data has changed: scientists study Big Data, which is so large that even quadratic dependence in the total input size $n$ is unaffordable. Therefore, what constitutes a practical algorithm has also changed.
Rising emissions, depleting water and vanishing land: AI is threatening natural resources for billions, say scientists
By 2030, the global data centers powering artificial intelligence are projected to consume 945 terawatt-hours of electricity. This is nearly triple the combined annual electricity use of Pakistan, Bangladesh, and Nigeria—countries collectively home to more than 650 million people. Their associated water footprint will equal the basic annual domestic water needs of all 1.3 billion people in Sub-Saharan Africa, and their land footprint will exceed 14,500 square kilometers, roughly twice the...
CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing
arXiv:2605.11359v3 Announce Type: replace Abstract: Scientific data processing often requires task-specific algorithms or AI models, creating a barrier for domain scientists who need to analyze their data but may not have extensive computing or image-processing expertise. This barrier is especially pronounced when data are noisy, have a high dynamic range, are sparsely labeled, or are only loosely specified. We introduce CVEvolve, an autonomous agentic harness with a zero-code interface for...
CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing
arXiv:2605.11359v3 Announce Type: replace-cross Abstract: Scientific data processing often requires task-specific algorithms or AI models, creating a barrier for domain scientists who need to analyze their data but may not have extensive computing or image-processing expertise. This barrier is especially pronounced when data are noisy, have a high dynamic range, are sparsely labeled, or are only loosely specified. We introduce CVEvolve, an autonomous agentic harness with a zero-code...
How a decade-long bet on photonics handed this Chinese venture capital firm an AI windfall
ExclusiveHow a decade-long bet on photonics handed this Chinese venture capital firm an AI windfall For Mi Lei, founder of venture capital firm CAS Star, the sudden fascination with photonics is less a surprise than a delayed validation As artificial intelligence strains the physical limits of existing data centres, scientists and investors are turning to the ultimate speed limit of the universe for the next computing frontier: light. For Mi Lei, founder of CAS Star, a venture capital firm...
Bots are scraping open data — how should researchers respond?
Nature, Published online: 08 June 2026; doi:10.1038/d41586-026-01689-0The snowballing ability of artificial intelligence to trawl open data sets has some scientists worried about losing control of their information.
Rubin Tracks Skyscraper-Size Asteroids and Failed Supernovas
Rubin Tracks Skyscraper-Size Asteroids, Failed Supernovas, and Interstellar Visitors Introduction Over the years, anticipation has built for the start of observations at the Vera C. Rubin Observatory in the mountains of the Atacama Desert in Chile. Originally imagined in the mid-1990s as the Dark Matter Telescope, Rubin is designed to study our constantly moving and changing universe in greater detail than ever before. Once every few days for a decade, Rubin will take images of the entire...