The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained to cheat and to communicate with each other, according…
Selection Bias Correction in Retail Intelligence
arXiv:2608.26156v1 Announce Type: new Abstract: Retail intelligence often relies on monitoring popular, high-velocity products, potentially biasing…
OpenAI releases its official report on the Hugging Face breach
The report, which spans several discrete cybersecurity compromises, is the most complete accounting of the incident to date.
EEG-to-Report: An Annotation and Feature-Text Framework for Training Language Models on Clinical EEG
arXiv:2608.26153v1 Announce Type: new Abstract: Clinical electroencephalography (EEG) reporting remains largely manual and time-consuming, and current EEG…
Evaluate any agent framework with Amazon Bedrock AgentCore Evaluations
Amazon Bedrock AgentCore Evaluations decouples agent evaluation from the framework you build on. As long as your agent emits OpenTelemetry telemetry, the…
GROUND: Reducing Hallucinations in LLM-Based Enterprise Analytics Through Governed Semantic Definitions
arXiv:2608.26157v1 Announce Type: new Abstract: Natural-language analytics over enterprise data warehouses is increasingly important, but production use…
Google AI Releases Gemini 3.5 Transcribe: A Speech-to-Text Model Reporting 2.6% Average WER Across 85+ Languages
Google has released Gemini 3.5 Transcribe, a speech-to-text model that ships as two separate endpoints rather than one. The streaming endpoint delivers…
SAREF-based Ontology for Distributed AI Workflows across the Edge-Fog-Cloud Continuum
arXiv:2608.26160v1 Announce Type: new Abstract: Nowadays semantic models provide limited support for representing distributed AI workflows and their…
AI News Brief Hourly Summary 2026-08-28 07h : 12 posts
12 posts published in the last hour 04:32The Accuracy-Efficiency Paradox Quantifying Net Energy Loss in on-Device Energy Forecasting 04:32Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models 04:32Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified…
The Accuracy-Efficiency Paradox Quantifying Net Energy Loss in on-Device Energy Forecasting
arXiv:2608.26134v1 Announce Type: new Abstract: Energy forecasting aims to maximize accuracy to ensure energy efficiency by reducing energy waste, an…
Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models
arXiv:2608.26150v1 Announce Type: new Abstract: Recent advancements in Large Language Models (LLMs) have created new opportunities to streamline and…
Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified Approach for Complex Data Reuse
arXiv:2608.26149v1 Announce Type: new Abstract: Multi-table learning remains a major challenge in machine learning for healthcare and other complex…
The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning
arXiv:2608.26116v1 Announce Type: new Abstract: Existing methods for exploring cellular automata and other complex systems mostly operate in open loop:…
Greenberg Traurig Rolls Out Agentic CoCounsel Legal Across Global Offices
Greenberg Traurig has deployed the next generation of CoCounsel Legal, Thomson Reuters’ agentic AI for legal professionals, giving lawyers across the…
LLMs for Academic Workflows: An Evaluation of Literature Reviews Generated with Short and Long Context Windows of LLMs
arXiv:2608.26145v1 Announce Type: new Abstract: Our research focuses on evaluating literature reviews generated in short and long context settings of…
EduRiskX: A Neuro-Symbolic Framework with F-Logic Reasoning for Early Academic Risk Prediction
arXiv:2608.26107v1 Announce Type: new Abstract: Predicting students’ academic risk in online education is crucial for enabling timely interventions that…
Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset
arXiv:2608.26109v1 Announce Type: new Abstract: Machine-learning models can predict ICU mortality accurately, but feature-attribution methods alone rarely…
CIFQA: A Deterministic Tool-Grounded Multi-Agent LLM Framework for Financial Query Answering
arXiv:2608.26114v1 Announce Type: new Abstract: Calculation-intensive financial question answering requires exact reasoning over structured rates,…