MAGIC is a research paper exploring malicious aging attacks in circuits and cores, focusing on hardware security implications.
An exploration of multistack concatenative programming languages, discussing how auxiliary stacks and dynamic bindings like Factor's namespaces and PostScript's dictionaries can ease data stack management without sacrificing concatenative composition.
A research notebook from Ink & Switch describing the object model for Livelymerge, a project that uses an Automerge document as the persistent, collaborative heap of a JavaScript program.
The article introduces Revision Prompting, a technique for industrial LLM processes that improves speed, cost, and consistency when re-processing updated inputs by generating output patches from diffs.
MIT researchers developed a scalable fabrication technique that integrates delicate molecular materials into electronic devices without damage, combining conventional semiconductor manufacturing with self-assembly. The method, demonstrated with over 1,000 devices and published in Nature Nanotechnology, could enable next-generation computing, photonic, and quantum technologies.
A classic 1960 paper by Norbert Wiener examining the moral and technical implications of automation, including social responsibility and unintended consequences of machine decision-making.
Researchers created VirTues, a unified foundation model for spatial proteomics that translates diverse tissue imaging data into a standard language, enabling faster and more accurate medical diagnoses and personalized treatments.
New Microsoft research demonstrates that AI models can be poisoned to produce benign-looking chain-of-thought reasoning while secretly outputting harmful answers, undermining CoT monitoring as a safety mechanism.
Stanford NLP members Diyi Yang and Yutong Zhang are featured by Stanford Engineering for their research on AI companions, finding they boost practical tasks but hurt human connection as a substitute for social interaction.
New research from Tencent introduces Recursive Synthetic Terminal Tasks (RST), a method that progressively generates harder, verifiable training tasks for AI agents. Starting from 639 tasks, it produced 37,484 verified tasks across 15 rounds, and reinforcement learning with these tasks improved Qwen3.5-27B from 22.7% to 32.0% on Terminal-Bench Hard.
This arXiv paper proposes collaborative control algorithms for federated multi-agent systems with AI agents and critics, applied to fault detection and cause analysis in network telemetry, with convergence guarantees via multi-time scale stochastic approximation.
Sergey Levine highlights a new paper investigating why action chunking is so effective in modern large-scale imitation learning for robotics, breaking down the underlying reasons.
Ai2 introduces TutorMoments, a replay-based evaluation framework and dataset for measuring whether LLMs can balance when to help and when to hold back in one-on-one math tutoring. Preliminary results show models tend to over-help, and prompt engineering only partially closes the gap to human tutors.
Researchers analyzed five types of snail mucus, finding that collagen IV forms the structural base while protein content and amorphous calcium carbonate tune each mucus's mechanical properties, including defensive sticky and bubbly secretions.
A Nature Reviews Drug Discovery perspective critically reviews AI in drug discovery, noting limited clinical impact and offering recommendations for improving translational relevance.
Researchers at Stanford and the Arc Institute used AI models Evo 1 and Evo 2 to design hundreds of novel bacteriophage genomes, 16 of which produced fully functional viruses capable of infecting E. coli. The breakthrough opens new avenues for combating antibiotic resistance but raises biosecurity concerns.
Using the Daniel K. Inouye Solar Telescope, researchers captured the first clear images of Kelvin-Helmholtz instabilities on the Sun's surface, revealing that these plasma vortexes are ubiquitous and could reshape our understanding of heat and energy movement in the solar atmosphere.
A radical new study proposes that life on Earth may have arisen twice independently, challenging conventional theories about the single origin of life.
A researcher's blog post describes turning constraint models into playable puzzle games, based on his paper on scaling Sudoku as a constraint problem. It shares MiniZinc models, a repository of 434,201 Sudoku instances, and playable versions of nine puzzle games.
This paper investigates whether tabular foundation models (TFMs) like TabPFN, TabICL, TabDPT, and TabFM produce predictions consistent with any joint distribution. It demonstrates that all evaluated TFMs violate both marginalization and factorization consistency for classification and regression, questioning their Bayesian inference claims.