30 results for "deployment"
GitHub uses eBPF to improve deployment safety
Learn how Github uses eBPF to detect and prevent circular dependencies in its deployment tooling.…
ECoLAD: Deployment-Oriented Evaluation for Automotive Time-Series Anomaly Detection
Time-series anomaly detectors are commonly compared on workstation-class hardware under unconstrained execution. In-vehicle monitoring, however, requires predictable latency and stable behavior under …
AgentPulse: A Continuous Multi-Signal Framework for Evaluating AI Agents in Deployment
Static benchmarks measure what AI agents can do at a fixed point in time but not how they are adopted, maintained, or experienced in deployment. We introduce AgentPulse, a continuous evaluation framew…
Multi-Environment Deployment Strategies for Kubernetes
TLDR ; Kustomize and Helm are the leading tools for managing environment-specific...…
Local AI model deployment experiences?
Red Hat’s OpenClaw maintainer just made enterprise Claw deployments a lot safer
Tank OS puts OpenClaw AI agents into a container that let's it run reliably and more safely, especially for those running fleets of them.…
Who is UP's ‘encounter specialist’ IPS Ajay Sharma, whose deployment in Bengal caused stir
He was born in October 1985 in Punjab's Ludhiana and is known for his tough policing style.| India News…
Encounter specialist's deployment to West Bengal sparks row; TMC, Akhilesh accuse BJP of planting 'agents'
Samajwadi Party's Akhilesh Yadav and Trinamool have accused the BJP of trying to tilt the vote in their favour by "deploying agents" to intimidate voters.| India News…
75% of US health systems are using AI. Only 18% of that deployment is governed
What US enterprise is actually shipping on mobile AI in 2026 — and what is still stuck.…
IBM Bob: AI Development Partner
Bob doesn’t just help developers write code fast. It works across the full software development lifecycle (SDLC), from planning and coding to testing, deployment, and modernization, with the governanc…
Will Israel’s use of Iron Dome to aid Arab neighbour recalibrate Mideast defence?
Reported deployment ‘on UAE soil represents a qualitatively different level of trust and coordination’, analyst says.…
Case-Specific Rubrics for Clinical AI Evaluation: Methodology, Validation, and LLM-Clinician Agreement Across 823 Encounters
Objective. Clinical AI documentation systems require evaluation methodologies that are clinically valid, economically viable, and sensitive to iterative changes. Methods requiring expert review per sc…
RADIANT-LLM: an Agentic Retrieval Augmented Generation Framework for Reliable Decision Support in Safety-Critical Nuclear Engineering
Reliable decision support in nuclear engineering requires traceable, domain-grounded knowledge retrieval, yet safety and risk analysis workflows remain hampered by fragmented documentation and halluci…
RedParrot: Accelerating NL-to-DSL for Business Analytics via Query Semantic Caching
Recently, at Xiaohongshu, the rapid expansion of e-commerce and advertising demands real-time business analytics with high accuracy and low latency. To meet this demand, systems typically rely on conv…
Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Ranking
Large language models (LLMs) increasingly operate as autonomous agents that reason over external APIs to perform complex tasks. However, their reliability and agreement remain poorly characterized. We…
Algorithmic Administration and the EU AI Act: Legal Principles for Public Sector Use of AI
The increasing use of artificial intelligence (AI) by public authorities introduces both opportunities for innovation and significant challenges for the administrative rule of law. This article examin…
Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing
Serving transformer language models with high throughput requires caching Key-Values (KVs) to avoid redundant computation during autoregressive generation. The memory footprint of KV caching is signif…
UGAF-ITS: A Standards Harmonization Framework and Validation Tool for Multi-Framework AI Governance in Distributed Intelligent Transportation Systems
Organizations deploying AI-enabled Intelligent Transportation Systems face fragmented governance: ISO/IEC 42001 demands a certifiable management system, the EU AI Act imposes binding high-risk obligat…
SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving
Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present SwarmDrive, a semantic V…
NIA teams in 7 Bengal districts voting today to check for explosives
The proactive deployment comes after the agency on April 26 started investigating a bomb seizure case in Uttar Kashipur area in South 24 Parganas on a MHA directive| India News…
Bengal turns fortress for phase-II poll: 2.3 lakh CAPF & 38,297 state cops in place
West Bengal's final assembly polls are underway with an unprecedented security deployment across 142 constituencies. Over 2.3 lakh central forces and state police are on duty, alongside observers and …
Step-by-Step Guide to Encrypting Kafka 3.9 Topics with TLS 1.3 and HashiCorp Vault 1.16
In 2024, 68% of Kafka deployments suffered at least one unencrypted data exposure incident according...…
Dozens of arrests made in Turkey ahead of 1 May celebrations, Istanbul prosecutor says
The day, which celebrates workers and the working classes, usually sees a major police deployment in Turkey every year.…
Vibe Coding Will Break Your Company
Vibe coding is collapsing the distance between idea and deployment. But the real risk is whether your company has the judgment system to govern what AI can now build.…
A Systematic Approach for Large Language Models Debugging
Large language models (LLMs) have become central to modern AI workflows, powering applications from open-ended text generation to complex agent-based reasoning. However, debugging these models remains…
FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification
Financial AI systems must produce answers grounded in specific regulatory filings, yet current LLMs fabricate metrics, invent citations, and miscalculate derived quantities. These errors carry direct …
When AI reviews science: Can we trust the referee?
The volume of scientific submissions continues to climb, outpacing the capacity of qualified human referees and stretching editorial timelines. At the same time, modern large language models (LLMs) of…
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision…
Failure-Centered Runtime Evaluation for Deployed Trilingual Public-Space Agents
This paper presents PSA-Eval, a failure-centered runtime evaluation framework for deployed trilingual public-space agents. The central claim is that, when the evaluation object shifts from a static in…
Towards Lawful Autonomous Driving: Deriving Scenario-Aware Driving Requirements from Traffic Laws and Regulations
Driving in compliance with traffic laws and regulations is a basic requirement for human drivers, yet autonomous vehicles (AVs) can violate these requirements in diverse real-world scenarios. To encod…