OCHIN, C3 combine strengths to launch new Medicare ACO
The national nonprofit partnership provides members in both networks with an innovative option to pursue value-based care and meet growing patient demand in rural and community care settings OCHIN and Community Care Cooperative (C3) have joined forces to offer a novel Accountable Care Organization (...
NetSPI Redefines Pentesting with Faster, Simpler User Experience
Use case-driven, AI-accelerated experience brings critical security workflows to two clicks or less, enabling the move from findings to fixes faster NetSPI®, the global leader in modern penetration testing, today announced a new, modern user experience for the NetSPI platform, reimagining what penet...
This is the second article in a series on agentic engineering and AI-driven development. Read part one here, and look for the next article on April 2 on O’Reilly Radar. The first 90 percent of the code accounts for the first 90 percent of the development time. The remaining 10 percent of the code ac...
TrustCloud Launches Industry’s First Security Assurance Platform for CISOs
Numerous enterprise CISOs implement AI-native GRC Transformation with TrustCloud, moving from manual workflows and tickets, to accurate automation that delivers business impact TrustCloud® today announced the industry’s first AI-native Security Assurance Platform for CISOs. Built for the AI era and...
CrowdStrike Introduces Secure AI Blueprint with NVIDIA
Architecture will integrate protection from the Falcon platform with NVIDIA OpenShell to run safer, autonomous AI agents both locally on DGX Spark and in the cloud GTC –CrowdStrike (NASDAQ: CRWD) today unveiled a Secure-by-Design AI Blueprint built with NVIDIA that integrates protection from the Cro...
At NVIDIA’s GTC 2026, CEO Jensen Huang laid out a sweeping vision for AI’s next era. From chips and agent frameworks to robotics and real-time graphics, Huang’s keynote made one thing clear: The future of AI will be built on infrastructure, and NVIDIA intends to own it.
MuleRun Debuts Self-Evolving Personal AI for Digital Workforce
MuleRun, the self-evolving personal AI, officially launched today at the “MuleRun Agentic Computer: Major Feature Update” boat party in San Francisco. With zero barriers to entry, MuleRun lets anyone — regardless of technical background — command a dedicated digital employee capable of handling comp...
How we monitor internal coding agents for misalignment
How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.
Driven Tech Earns Spot on The Prestigious CRN Tech Elite 250 For 2026
Driven Tech, DBA Driven Technologies, today announced that CRN, a brand of The Channel Company, has recognized Driven on its 2026 Tech Elite 250 list. This annual list highlights solution providers based in the U.S. and Canada that are committed to excellence and distinguish themselves by attaining ...
Top 5 GitHub Repositories to get Free Claude Code Skills (1000+ Skills)
Claude Skills (or Agent Skills) can turn a simple AI assistant into something far more powerful. But most people hit the same wall: they don’t know where to find them? Building skills from scratch is slow. The smarter move is to use production-ready Claude Code skills that developers are already sha...
Multiverse Computing pushes its compressed AI models into the mainstream
After compressing models from major AI labs including OpenAI, Meta, DeepSeek and Mistral AI, Multiverse Computing has launched both an app that showcases the capabilities of its compressed models and an API that makes them more widely available.
Meet Mamba-3: A New State Space Model Frontier with 2x Smaller States and Enhanced MIMO Decoding Hardware Efficiency
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward inference efficiency alongside model quality. While Transformer-based architectures remain the standard, their quadratic computational complexity and line...
A foundation model for electrodermal activity data
arXiv:2603.16878v1 Announce Type: new
Abstract: Foundation models have recently extended beyond natural language and vision to timeseries domains, including physiological signals. However, progress in electrodermal activity (EDA) modeling is hindered by the absence of large-scale, curated, and open...
Federated Multi Agent Deep Learning and Neural Networks for Advanced Distributed Sensing in Wireless Networks
arXiv:2603.16881v1 Announce Type: new
Abstract: Multi-agent deep learning (MADL), including multi-agent deep reinforcement learning (MADRL), distributed/federated training, and graph-structured neural networks, is becoming a unifying framework for decision-making and inference in wireless systems w...
Multi-Agent Reinforcement Learning for Dynamic Pricing: Balancing Profitability,Stability and Fairness
arXiv:2603.16888v1 Announce Type: new
Abstract: Dynamic pricing in competitive retail markets requires strategies that adapt to fluctuating demand and competitor behavior. In this work, we present a systematic empirical evaluation of multi-agent reinforcement learning (MARL) approaches-specifically...
From Language to Action in Arabic: Reliable Structured Tool Calling via Data-Centric Fine-Tuning
arXiv:2603.16901v1 Announce Type: new
Abstract: Function-calling language models are essential for agentic AI systems that translate natural language into executable structured actions, yet existing models exhibit severe structural instability when applied to Arabic. We present AISA-AR-FunctionCall...
Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty
arXiv:2603.17021v1 Announce Type: new
Abstract: Socio-environmental planning under deep uncertainty requires researchers to identify and conceptualize problems before exploring policies and deploying plans. In practice and model-based planning approaches, this problem conceptualization process ofte...
Cascade-Aware Multi-Agent Routing: Spatio-Temporal Sidecars and Geometry-Switching
arXiv:2603.17112v1 Announce Type: new
Abstract: A common architectural pattern in advanced AI reasoning systems is the symbolic graph network: specialized agents or modules connected by delegation edges, routing tasks through a dynamic execution graph. Current schedulers optimize load and fitness b...
How Clued up are LLMs? Evaluating Multi-Step Deductive Reasoning in a Text-Based Game Environment
arXiv:2603.17169v1 Announce Type: new
Abstract: Deducing whodunit proves challenging for LLM agents. In this paper, we implement a text-based multi-agent version of the classic board game Clue as a rule-based testbed for evaluating multi-step deductive reasoning, with six agents drawn from GPT-4o-m...
arXiv:2603.17216v1 Announce Type: new
Abstract: With the advent of AI agents, automatic scientific discovery has become a tenable goal. Many recent works scaffold agentic systems that can perform machine learning research, but don't offer a principled way to train such agents -- and current LLMs of...