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How AI actually ships: enterprise case studies, engineering lessons from production, adoption data and ROI evidence.

How AI actually ships: enterprise case studies, engineering lessons from production, adoption data and ROI evidence.

Latest in Practice

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NVIDIA and AWS Collaborate to Bring AI to Production at Scale
Labs

NVIDIA and AWS Collaborate to Bring AI to Production at Scale

Building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that can grow wi…

OMB Advances Revolutionary FAR Overhaul with Formal Publication of Regulatory Changes Proposed changes will make common sense the hallmark of federal contracting and help the world’s largest buyer accelerate mission delivery, save money, and strengthen competition
Policy

OMB Advances Revolutionary FAR Overhaul with Formal Publication of Regulatory Changes Proposed changes will make common sense the hallmark of federal contracting and help the world’s largest buyer accelerate mission delivery, save money, and strengthen competition

WASHINGTON, D.C. — The Office of Management and Budget (OMB) announced the first of three releases of proposed rules to implement the Revolutionary Federal Acqu…

Introducing Mistral OCR 4
Labs

Introducing Mistral OCR 4

Mistral OCR 4 delivers enterprise document AI with 170-language support, bounding boxes, and self-hosted deployment.…

How Businesses Are Building Specialized AI They Can Trust
Labs

How Businesses Are Building Specialized AI They Can Trust

Companies are asking how to build specialized AI that fits with the way their workflows actually run. The first wave of enterprise AI was about access. Companie…

GroundEval: A Deterministic Replacement for LLM-as-Judge in Stateful Agent Evaluation
Research

GroundEval: A Deterministic Replacement for LLM-as-Judge in Stateful Agent Evaluation

Before letting an agent operate over real context, can you prove it used the right evidence? GroundEval turns that question into a deterministic test of what th…

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking
Research

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking

As retrieval systems scale, high-quality reranking becomes increasingly important. However, most existing rerankers, whether encoder-based or decoder-based, joi…

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning
Research

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning

Vision-language models (VLMs) are increasingly deployed in consumer, medical, financial, and enterprise applications. This broad deployment expands the safety s…

Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks
Research

Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks

Deep neural networks have witnessed remarkable advancements in recent years and have become integral to various applications. However, alongside these developme…

Understanding Knowledge Distillation in Post-Training: When It Helps and When It Fails
Research

Understanding Knowledge Distillation in Post-Training: When It Helps and When It Fails

Large language models (LLMs) achieve strong performance across many tasks, but their high computational cost limits deployment in resource-constrained environme…

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production
Research

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production

Latent diffusion approaches to sign language production (SLP) rely on an initial stage that learns an encoding of sign pose sequences, enabling generative model…

Self-Evolution for Multi-Turn Tool-Calling Agents via Divergence-Point Preference Learning
Research

Self-Evolution for Multi-Turn Tool-Calling Agents via Divergence-Point Preference Learning

Multi-turn tool-using agents must coordinate long-horizon tool sequences while tracking dialogue state and policy constraints. Existing approaches often separat…

The Watermark Shortcut: How Provenance Marking Sabotages Audio Deepfake Detection
Research

The Watermark Shortcut: How Provenance Marking Sabotages Audio Deepfake Detection

Provenance watermarking is increasingly treated as a safeguard for synthetic speech, whether built directly into speech-generation models such as Chatterbox, pr…

AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction
Research

AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction

AI agents are driving a new software paradigm, with the ability to autonomously call tools, extract information, manage memory, and complete tasks that span app…

NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations
Labs

NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations

Telecom operators have seen remarkable returns from using generative AI to automate network management, customer care and back-office operations. Most of that i…

New features and Claude as agent provider preview in JetBrains IDEs
Create

New features and Claude as agent provider preview in JetBrains IDEs

This update adds support for organization and enterprise agents from GitHub, lets you queue and steer messages in Copilot CLI sessions, introduces a new agent d…

Daybreak: Tools for securing every organization in the world
Labs

Daybreak: Tools for securing every organization in the world

OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.…

Defending against Adaptive Prompt Injection Attacks via Reasoning-enabled Task Alignment
Research

Defending against Adaptive Prompt Injection Attacks via Reasoning-enabled Task Alignment

Indirect prompt injection attacks hijack LLM-based agents by embedding malicious instructions in third-party data that the agent retrieves during task execution…

Who Should Lead Decoding Now? Tracking Reliable Trajectories for Ensembling Masked Diffusion Language Models
Research

Who Should Lead Decoding Now? Tracking Reliable Trajectories for Ensembling Masked Diffusion Language Models

Masked Diffusion Language Models (MDLMs) have emerged as a distinct paradigm for sequence generation. As MDLMs become diverse in capabilities and knowledge cove…

Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI Engines
Research

Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI Engines

Transformer-based models achieve strong performance for jet tagging at the CERN LHC, but deploying them in low-latency, resource-constrained trigger systems is …

Gender Bias in LLM Hiring Decisions: Evidence from a Japanese Context and Evaluation of Mitigation Strategies
Research

Gender Bias in LLM Hiring Decisions: Evidence from a Japanese Context and Evaluation of Mitigation Strategies

Large language models (LLMs) are increasingly deployed in hiring workflows, yet most research on gender bias in LLM hiring decisions has focused on English-lang…

Can In-Context Learning Support Intrinsic Curiosity?
Research

Can In-Context Learning Support Intrinsic Curiosity?

Effective machine learning depends not only on how we model data, but also on what data we choose to collect. While large sequence models have revolutionized da…

Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning
Research

Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning

This work presents a general framework for training large language models (LLMs) to "Connect the Dots" (CoD), a meta-capability required by long-lifecycle agent…

Samsung rolls out ChatGPT Enterprise and Codex to employees in South Korea
Briefing

Samsung rolls out ChatGPT Enterprise and Codex to employees in South Korea

Samsung Electronics is deploying ChatGPT Enterprise and Codex to all employees in South Korea and everyone in its Device eXperience (DX) division worldwide. The…

Samsung Electronics brings ChatGPT and Codex to employees
Labs

Samsung Electronics brings ChatGPT and Codex to employees

Samsung Electronics deploys ChatGPT Enterprise and Codex to employees worldwide, marking one of OpenAI’s largest enterprise AI rollouts.…

OpenAI's Codex can now watch you work once and repeat the task forever
Briefing

OpenAI's Codex can now watch you work once and repeat the task forever

OpenAI has released the "Record & Replay" feature for its Codex app on macOS: users demonstrate a workflow once, Codex converts it into a reusable "skill,"…

New usage analytics and updated spend controls for enterprises
Labs

New usage analytics and updated spend controls for enterprises

OpenAI introduces new spend controls and usage analytics for ChatGPT Enterprise, helping organizations manage costs and scale AI with confidence.…

Enterprise-Managed Authorization: Zero-touch OAuth for MCP
Agents

Enterprise-Managed Authorization: Zero-touch OAuth for MCP

The Enterprise-Managed Authorization extension to the Model Context Protocol is now stable, enabling organizations to centrally provision MCP server access thro…

EARS: Explanatory Abstention for Reliable Sub-Agent Modeling in Large-scale Multi-Agent Systems
Research

EARS: Explanatory Abstention for Reliable Sub-Agent Modeling in Large-scale Multi-Agent Systems

In large-scale enterprise settings, centralized multi-agent systems (MAS) are increasingly adopted, in which a coordinator delegates user requests to lightweigh…

SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval
Research

SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval

With the rapid expansion of massive multilingual corpora, Multilingual Information Retrieval (MLIR) has emerged as a critical technology for global information …

ProfiLLM: Utility-Aligned Agentic User Profiling for Industrial Ride-Hailing Dispatch
Research

ProfiLLM: Utility-Aligned Agentic User Profiling for Industrial Ride-Hailing Dispatch

Bringing Large Language Models (LLMs) into industrial ride-hailing dispatch as semantic feature extractors over platform-scale behavioral logs is a compelling b…