US Treasury publishes AI risk Guidebook for financial institutions
The US Treasury has published several documents designed for the US financial services sector that suggest a structured approach to...
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Fixing AI failure: Three changes enterprises should make now
Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the...
Meet OpenViking: An Open-Source Context Database that Brings Filesystem-Based Memory and Retrieval to AI Agent Systems like OpenClaw
OpenViking is an open-source Context Database for AI Agents from Volcengine. The project is built around a simple architectural concept:...
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Y Combinator-backed Random Labs launches Slate V1, claiming the first 'swarm-native' coding agent
The software engineering world is currently wrestling with a fundamental paradox of the AI era: as models become more capable,...
E.SUN Bank and IBM build AI governance framework for banking
E.SUN Bank is working with IBM to build clearer AI governance rules for how artificial intelligence can be used inside...
Model Context Protocol (MCP) vs. AI Agent Skills: A Deep Dive into Structured Tools and Behavioral Guidance for LLMs
In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools...
NanoClaw and Docker partner to make sandboxes the safest way for enterprises to deploy AI agents
NanoClaw, the open-source AI agent platform created by Gavriel Cohen, is partnering with the containerized development platform Docker to let...
How multi-agent AI economics influence business automation
Managing the economics of multi-agent AI now dictates the financial viability of modern business automation workflows.Organisations progressing past standard chat...
How to Design a Streaming Decision Agent with Partial Reasoning, Online Replanning, and Reactive Mid-Execution Adaptation in Dynamic Environments
@dataclass class AgentConfig: horizon: int = 6 replan_on_target_move: bool = True replan_on_obstacle_change: bool = True max_steps: int = 120 think_latency:...
Nvidia's new open weights Nemotron 3 super combines three different architectures to beat gpt-oss and Qwen in throughput
Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the...
Building physical AI with virtual simulation data
Virtual simulation data is driving the development of physical AI across corporate environments, led by initiatives like Ai2’s MolmoBot.Instructing hardware...
Google AI Introduces Gemini Embedding 2: A Multimodal Embedding Model that Lets Your Bring Text, Images, Video, Audio, and Docs into the Embedding Space
Google expanded its Gemini model family with the release of Gemini Embedding 2. This second-generation model succeeds the text-only gemini-embedding-001...
Anthropic and OpenAI just exposed SAST's structural blind spot with free tools
OpenAI launched Codex Security on March 6, entering the application security market that Anthropic had disrupted 14 days earlier with...
The Agentic Payments Race Heats Up as Mastercard Goes Live in Singapore
Mastercard has completed its first live, authenticated agent-based payment transaction in Singapore, a milestone that advances autonomous AI commerce from...
The ‘Bayesian’ Upgrade: Why Google AI’s New Teaching Method is the Key to LLM Reasoning
Large Language Models (LLMs) are the world’s best mimics, but when it comes to the cold, hard logic of updating...
Dynamic UI for dynamic AI: Inside the emerging A2UI model
With agentic AI, businesses are conducting business more dynamically. Instead of traditional pre-programmed bots and static rules, agents can now...
