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3,243 papers
Three research directions for automating the production of shareable intelligence are derived from a literature survey of academic papers, organizing the CTI lifecycle into three stages: Threat Data Collection, CTI Generation and Sharing, and CTI Consumption.
EpisodeSim is presented, a hybrid LLM-agent architecture that represents classic-AI structures as natural-language control state interpreted by LLM calls that supports a design claim that coherent social simulation benefits from persistent classic-AI-style scaffolding that organizes behavior over time.
Code and evaluation artifacts supporting the article "Generalist Vision-Language Models for Fast Radio Burst detection: a zero-shot benchmark against a specialized detector" (Santos, Queiroz, Duarte, de Farias & Batista), submitted to The Astrophysical Journal Supplement Series (manuscript AAS80842; preprint arXiv:2607...
This review examines vibe coding through an ophthalmology-specific lens, identifying where it adds value and how it can be used responsibly, and how it can be used responsibly while preserving safety and accountability.
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Posterior Ontology Memory (POM) models uncertainty in the vocabulary used by a symbolic memory, rather than assuming that its semantic schema is fixed. It treats mappings from surface predicates to latent semantic categories as uncertain and carries that uncertainty into prediction. The model combines a partition prior...
Background. RewardBench 2 aggregates pairwise preference accuracy across heterogeneous task families (factuality, instruction following, safety, and others). A single leaderboard score can mask systematic subset specialization, yet standard benchmark reporting rarely tests whether accuracy is independent of task catego...
Although LLM-based benchmark ratings can approximate expert judgments and reduce the need for labor-intensive human triple coding, limitations remain regarding cost, genre- and task specificity, and sensitivity to text presentation and student grade level—factors that constrain immediate classroom use, particularly for...
Overall, infrared thermography was used primarily as a non-invasive, adjunctive, and complementary imaging method to document skin-surface temperature distribution and thermal patterns in occupational contexts, and may contribute to multidisciplinary clinical assessment and decision-making.
RadTechBERT with BPE_32K outperformed baselines in many subjects, with more than a twofold improvement in radiation safety management and radiation measurement relative to the strongest baseline, while gains were smaller in subjects having substantial overlap with general medicine, and Wikipedia mixing did not yield co...
Relational and information-based descriptions of reality have been explored in many domains, from relational readings of quantum mechanics to proposals that physical phenomena arise from the organization of information. This paper approaches the same questions from an unexpected side: sustained interaction with a large...
Using standardized oracle inputs and Cohen’s κ, it is found that, within the ranges tested, the major paradigms achieved comparable accuracy, and the field’s near-term gains lie in strengthening infrastructure—prioritizing tool accessibility, standardized evaluation, and robustness to pipeline variation.
Ophthalmology training requires visual interpretation, procedural skill, and supervised clinical reasoning, but trainee volume, faculty availability, and case mix constrain education. AI-enabled tools may support scalable instruction, assessment, and feedback. To evaluate AI-enabled interventions for improving ophthalm...
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A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
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