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3,243 papers
Large language models are used to create a new synthetic data set of business process descriptions that supports regulatory compliance decisions by identifying affected tasks, thereby facilitating the targeted implementation of compliance measures.
Depth of field is printed in tables and looks like a property of the lens. This paper asks where that number comes from──the answer is that it comes not from the equipment but from an agreement about when blur becomes visible. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No n...
Background: Large language models are increasingly used for rubric-based grading, but it remains unclear whether they adapt selectively when criterion weights change while the response, criterion definitions, and total score remain fixed. This study examined whether alternative point allocations produce targeted criter...
Small administrative units in higher education—continuing-education offices, language and culture centers, advising and tutoring services, and similar back-office functions—are routinely expected to deliver responsive, data-informed service with the budgets and staffing of a support desk. Enterprise customer relationsh...
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A frontier model writes working code and solves competition mathematics. Ask the same model to reconcile three hundred invoices and it loses track of which ones it already processed. A spreadsheet has done that task perfectly since 1985. This article locates the difference, measures it, and names the one operation that...
One is taught that noise is to be reduced. This paper asks whether reducing it always improves matters──the answer is that in a system with a threshold it does not. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed──stochastic...
Depth of field is printed in tables and looks like a property of the lens. This paper asks where that number comes from──the answer is that it comes not from the equipment but from an agreement about when blur becomes visible. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No n...
Abstract Large language models (LLMs) may help convert structured pathology notations derived from dental panoramic radiographs (DPRs) into radiological reports, but comparative data remain limited. This pilot head-to-head study evaluated nine publicly available LLMs across five domains: correct tooth numbering, correc...
It is tempting to think that mathematically identical formulae return identical answers. This paper asks whether that holds in finite precision──the answer is that it does not, and the gap reaches 15 digits. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical the...
Advances in real-world adversarial threats have heightened concerns over the privacy and security of AI systems. One key threat is Data Poisoning, where malicious data is injected into training sets or model inputs to compromise model behavior. While much of the current research focuses on deep learning, particularly F...
A frontier model writes working code and solves competition mathematics. Ask the same model to reconcile three hundred invoices and it loses track of which ones it already processed. A spreadsheet has done that task perfectly since 1985. This article locates the difference, measures it, and names the one operation that...
RSEs often provide training for researchers and dRTPs at their local institution in the digital research skills used in their own work. These courses cover a diverse range of topics, from beginners' language courses, to software architecture and efficiency, to specialised tools and platforms like HPC, AI and domain-spe...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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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