Business intelligence dashboards can fail silently, showing blank, stale, or wrong data even when every infrastructure monitor reports healthy. Learn how…
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RW-LoRA: Communication-Efficient Decentralized LoRA Fine-Tuning via Random Walks
arXiv:2609.00078v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning methods such as LoRA have become a standard approach for adapting large…
Trinity: Agentic AI-powered transition planning for students with disabilities
Learn how University Startups and its AWS partner g/d/n/a scaled Trinity, a conversational AI solution for students with disabilities, into a serverless…
Life Operators: a self-evolving framework for multiscale life modelling
arXiv:2609.00068v1 Announce Type: cross Abstract: Medical AI is moving beyond recognition towards clinical dialogue and longitudinal prediction. Yet a…
Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning
arXiv:2609.00064v1 Announce Type: cross Abstract: In-context learning (ICL) lets large language models adapt to new tasks from demonstrations, and…
Scientific Agent Skills: A Library of Procedural Knowledge for Research Agents
arXiv:2609.00065v1 Announce Type: cross Abstract: A language-model agent asked to analyse an experiment will usually return working code. Whether the…
Do Multimodal LLMs See Before They Read? Diagnosing Contextual Sycophancy
arXiv:2609.00067v1 Announce Type: cross Abstract: External text can override conflicting image evidence in multimodal large language models, a failure we…
Medical Causal Hypothesis Verification with Large Language Models
arXiv:2609.00063v1 Announce Type: cross Abstract: The growing use of large language models (LLMs) for search and information retrieval underscores the…
Tim Hudson, President of OpenSSL Corporation – Interview Series
Tim Hudson is co-author of SSLeay and one of the organizers of the OpenSSL Conference, Prague October 13-15 2026. He has over 30 years of experience in…
OCGQuant: Outlier-Companion Grouping for NVFP4 Quantization
arXiv:2609.00066v1 Announce Type: cross Abstract: NVFP4 is an efficient microscaling format for low-bit inference, but activation outliers can still…