24 results for "operational ai"
Announcing Operational AI with Docker Book by Ajeet Singh Raina & Harsh Manvar
Get the Book 📘 Packt: Operational AI with Docker 📦 Amazon: Available now (paperback +...…
IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance
Industrial maintenance environments increasingly rely on AI systems to assist operators in understanding asset behavior, diagnosing failures, and evaluating interventions. Although large language mode…
Earnings call transcript: Coronado Global Resources Q1 2026 shows pricing gains amid operational challenges
The Controllability Trap: A Governance Framework for Military AI Agents
Agentic AI systems - capable of goal interpretation, world modeling, planning, tool use, long-horizon operation, and autonomous coordination - introduce distinct control failures not addressed by exis…
Air India, IndiGo, SpiceJet seek ATF price relief; say airline industry on verge of ‘stopping operations’
Airlines Air India, IndiGo, and SpiceJet urge government intervention for ATF price relief amid rising operational costs and potential shutdowns.…
Active Inference: A method for Phenotyping Agency in AI systems?
The proliferation of agentic artificial intelligence has outpaced the conceptual tools needed to characterize agency in computational systems. Prevailing definitions mainly rely on autonomy and goal-d…
AI Identity: Standards, Gaps, and Research Directions for AI Agents
AI agents are now running real transactions, workflows, and sub-agent chains across organizational boundaries without continuous human supervision. This creates a problem no current infrastructure is …
Information-Theoretic Measures in AI: A Practical Decision Guide
Information-theoretic (IT) measures are ubiquitous in artificial intelligence: entropy drives decision-tree splits and uncertainty quantification, cross-entropy is the default classification loss, mut…
Time-Series Forecasting in Safety-Critical Environments: An EU-AI-Act-Compliant Open-Source Package / Zeitreihenprognose in sicherheitskritischen Umgebungen: Ein KI-VO-konformes Open-Source-Paket
With spotforecast2-safe we present an integrated Compliance-by-Design approach to Python-based point forecasting of time series in safety-critical environments. A review of the relevant open-source to…
LLM-Augmented Traffic Signal Control with LSTM-Based Traffic State Prediction and Safety-Constrained Decision Support
Traffic signal control is a critical task in intelligent transportation systems, yet conventional fixed-time and rule-based methods often struggle to adapt to dynamic traffic demand and provide limite…
Russia to hold equipment-free Victory Day parade as Ukraine war grinds on
Moscow will exclude military equipment from its May 9 celebrations, citing the ‘current operational situation’.…
Victory in FOIA Against Twelve South for PlugBug 120W Electrical Info
This is the result of FCC-FOIA-2026-000235 which released the unredacted schematic, parts list, operational description and block diagram for the Twelve South...…
Peapack-Gladstone Financial's Strong Q1 Bodes Well For Remainder Of 2026
Peapack-Gladstone Financial's operational improvements are driving robust earnings momentum into 2027. Read why PGC stock is a Buy.…
Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft
Discovering causal regularities and applying them to build functional systems--the discovery-to-application loop--is a hallmark of general intelligence, yet evaluating this capacity has been hindered …
Conformal PM2.5 Mapping Under Spatial Covariate Shift: Satellite-Reanalysis Fusion for Africa's Green Industrial Transition
Africa's green industrialization imperative demands reliable infrastructure for monitoring air quality. We present a satellite-reanalysis PM2.5 fusion system trained on 2,068,901 records from 404 moni…
From Skills to Talent: Organising Heterogeneous Agents as a Company [pdf]
Individual agent capabilities have advanced rapidly through modular skills and tool integrations, yet multi-agent systems remain constrained by fixed team structures, tightly coupled coordination logi…
World Kinect Corporation: Volume-Growth A Necessity To Meet EPS Expectations
World Kinect's Q1 earnings beat and raised FY26 EPS guidance signal near-term operational strength, especially in the marine segment. Find out why WKC stock is a Hold.…
Medical Properties Trust: From Crisis To Comeback
Medical Properties Trust (MPW) remains a 'strong buy' as operational recovery accelerates and tenant issues are largely resolved.…
Energy Transfer: The Empire Keeps Expanding
Energy Transfer remains a Strong Buy, supported by robust operational execution and compelling risk-reward at current valuations. Learn more about ET stock here.…
Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis
Large language model (LLM) agents are increasingly tasked with complex real-world analysis (e.g., in financial forecasting, scientific discovery), yet their reasoning suffers from stochastic instabili…
GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs
Autonomous multi-agent LLM systems are increasingly deployed to investigate operational incidents and produce structured diagnostic reports. Their trustworthiness hinges on whether each claim is groun…
Escher-Loop: Mutual Evolution by Closed-Loop Self-Referential Optimization
While recent autonomous agents demonstrate impressive capabilities, they predominantly rely on manually scripted workflows and handcrafted heuristics, inherently limiting their potential for open-ende…
Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs
Medical and public health experts must make real-time resource decisions, such as expanding hospital bed capacity, based on projected hospitalization trends during large-scale healthcare disruptions (…
An Information-Geometric Framework for Stability Analysis of Large Language Models under Entropic Stress
As large language models (LLMs) are increasingly deployed in high-stakes and operational settings, evaluation strategies based solely on aggregate accuracy are often insucient to characterize system r…