arXiv:2603.12710v1 Announce Type: new
Abstract: Developing autonomous agents for web-based tasks is a core challenge in AI. While Large Language Model (LLM) agents can interpret complex user requests, they often operate as black boxes, making it difficult to diagnose why they fail or how they plan....
Scientists discover AI can make humans more creative
Artificial intelligence is often portrayed as a tool that replaces human work, but new research from Swansea University suggests a far more exciting role: creative collaborator. In a large study with more than 800 participants designing virtual cars, researchers found that AI-generated design galler...
Google, Accel India accelerator choses 5 startups and none are ‘AI wrappers’
Google and Accel say about 70% of AI startup pitches tied to India were "wrappers" as they reviewed more than 4,000 applications for their Atoms cohort.
A Coding Implementation to Design an Enterprise AI Governance System Using OpenClaw Gateway Policy Engines, Approval Workflows and Auditable Agent Execution
In this tutorial, we build an enterprise-grade AI governance system using OpenClaw and Python. We start by setting up the OpenClaw runtime and launching the OpenClaw Gateway so that our Python environment can interact with a real agent through the OpenClaw API. We then design a governance layer that...
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: agent systems should not treat context as a flat collection of text chunks. Instead, OpenViking organizes context through a file system paradigm, with the goal of ...
The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master
Master six advanced causal inference methods with Python: doubly robust estimation, instrumental variables, regression discontinuity, modern difference-in-differences, heterogeneous treatment effects and sensitivity analysis. Includes code and a practical decision framework.
The post The Causal Infe...
LangChain Releases Deep Agents: A Structured Runtime for Planning, Memory, and Context Isolation in Multi-Step AI Agents
Most LLM agents work well for short tool-calling loops but start to break down when the task becomes multi-step, stateful, and artifact-heavy. LangChain’s Deep Agents is designed for that gap. The project is described by LangChain as an ‘agent harness‘: a standalone library built on top of LangChain...
Zhipu AI Introduces GLM-OCR: A 0.9B Multimodal OCR Model for Document Parsing and Key Information Extraction (KIE)
Why Document OCR Still Remains a Hard Engineering Problem? What does it take to make OCR useful for real documents instead of clean demo images? And can a compact multimodal model handle parsing, tables, formulas, and structured extraction without turning inference into a resource bonfire? That is t...
The Rise of Agentic AI: From Chatbots to Autonomous Coworkers
Explore the shift from Generative AI to Agentic AI in 2026. Discover how autonomous AI agents are evolving from simple chatbots into "digital coworkers" capable of independent reasoning, tool use, and complex task execution.
Google DeepMind found multi-agent networks amplify errors 17x. Learn 3 architecture patterns that separate $60M wins from the 40% that get canceled.
The post The Multi-Agent Trap appeared first on Towards Data Science.
Excel 101: IF, AND, OR Functions and Conditional Logic Explained
You reading this tells me you wish to learn more about Excel. This article continues our Excel series, where we explored the VLOOKUP function in the last iteration. The complete VLOOKUP guide demonstrated how the function works and how best to use it. This time, we shall bring the same focus to cond...
Lawyer behind AI psychosis cases warns of mass casualty risks
AI chatbots have been linked to suicides for years. Now one lawyer says they are showing up in mass casualty cases too, and the technology is moving faster than the safeguards.
The AI industry is constantly churning out news, like major acquisitions, indie developer successes, public outcry, and existentially dangerous contract negotiations.
On March 26, Addy Osmani and I are hosting the third O’Reilly AI Codecon, and this time we’re taking on the question of what software craftsmanship looks like when AI agents are writing much of the code. The subtitle of this event, “Software Craftsmanship in the Age of AI,” was meant to be provocati...
How Vision Language Models Are Trained from “Scratch”
A deep dive into exactly how text-only language models are finetuned to *see* images
The post How Vision Language Models Are Trained from “Scratch” appeared first on Towards Data Science.
The $32B acquisition that one VC is calling the ‘Deal of the Decade’
According to Index Ventures Partner Shardul Shah, cybersecurity startup Wiz sits “at the center of three tailwinds: AI, cloud, and security spend.” Those tailwinds powered what just became the largest venture-backed acquisition in history — Google’s $32 billion deal, finalized after a declined 2024 ...
Unlocking the power of data: How we built text-to-SQL with agentic RAG at Rocket Mortgage
Your company’s data holds answers, but accessing them is often the hard part. Here’s how Rocket Mortgage built a text-to-SQL system with agentic RAG to make data accessible to everyone.
Personalized Restaurant Ranking with a Two-Tower Embedding Variant
How a lightweight two-tower model improved restaurant discovery when popularity ranking failed
The post Personalized Restaurant Ranking with a Two-Tower Embedding Variant appeared first on Towards Data Science.
Nametag Secures Patents for Human Identity Verification
New patents reinforce an emerging security category focused on human identity verification As generative AI makes impersonation attacks dramatically easier and AI agents begin acting on behalf of employees, organizations are confronting a new security challenge: confirming the real human behind digi...