AI Agents & Automation

arXiv:2601.15109v3 Announce Type: replace-cross Abstract: Interoperable data and intelligence flows among allied partners and operational end-users remain essen

arXiv:2601.20404v2 Announce Type: replace-cross Abstract: AI coding agents such as Codex and Claude Code are increasingly used to autonomously contribute to sof

arXiv:2602.04361v2 Announce Type: replace-cross Abstract: Visual AutoRegressive (VAR) modeling has garnered significant attention for its innovative next-scale

arXiv:2602.14477v2 Announce Type: replace-cross Abstract: Peer learning, where learners teach and learn from each other, is foundational to educational practice

arXiv:2602.20168v2 Announce Type: replace-cross Abstract: Emergency triage decisions are made under severe information constraints, yet most data-driven deterio

arXiv:2602.20323v4 Announce Type: replace-cross Abstract: Reliable object manipulation requires understanding physical properties that vary across objects and e

arXiv:2603.02190v2 Announce Type: replace-cross Abstract: We present Sketch2Colab, which turns storyboard-style 2D sketches into coherent, object-aware 3D multi

arXiv:2603.09455v2 Announce Type: replace-cross Abstract: Scenario-based testing is a key method for cost-effective and safe validation of autonomous vehicles (

arXiv:2603.10281v2 Announce Type: replace-cross Abstract: While score-based generative models have emerged as powerful priors for solving inverse problems, dire

arXiv:2603.13846v3 Announce Type: replace-cross Abstract: Advances in machine learning have enabled the creation of realistic synthetic videos known as deepfake

Use semantic search and RAG in C# with the Weaviate Managed .NET client — attribute-driven schema, type-safe queries, and safe migrations, all in idiomatic .NET

The 3-month gap between building an AI agent and it being useful nearly broke me. The early failures are the visible ones, but the deep problems only appear whe

AI agents may be fast and unpredictable in their reasoning, but their actions are concrete—and that's a problem security already knows how to solve.

Unix permissions were built for humans. AI agents inherit them wholesale. The structural failure has a name — the confused deputy problem, coined in 1988 — and

Scribe is an AI-powered agent that monitors group chats, captures shared links, and synthesizes them into scheduled, high-signal digests. Built to address infor

The New York and Israel-based startup, founded by a former Run:ai engineer and professional triathlete, has grown 350%+ year-on-year and counts Adobe, Wiz, Docu

Granary is an open-source, local-first CLI tool built in Rust that helps developers coordinate multiple AI agents working on the same codebase. By introducing s

Deploy Humans is building a platform that allows AI agents to delegate tasks to humans when automation falls short. By creating a human execution layer for the

In this post, we walk through two use cases that help enhance the user viewing experience using agentic AI tools and frameworks including Strands Agents SDK, Am

At the RSAC cybersecurity conference, the arrival of agentic AI gave the community plenty to talk about. New threats include identity and supply chains.

Mantis takes disparate sources of data to make synthetic datasets that can be used to build so-called "digital twins" of the human body, representing anatomy, p

Categories Are Most Vulnerable to AI-Native Startups Redpoint Ventures has effectively published a replacement roadmap for enterprise software. Its 2026 Softwar

AI will either substitute or supplement our work. Too many people are focused on the substitute side, argues Stanford's Erik Brynjolfsson.

Verne was to ship a Croation built 2 seater custom robotaxi with Mobileye Drive. Instead they have a Chinese robotaxi from Pony.AI and Arcfox, managed by Uber.

Today, I’m talking with Todd McKinnon, who is co-founder and CEO of Okta, a platform that lets big companies manage security and identity across all the apps an

We're now seeing exponential growth in humanoid robot manufacturing capacity, a significant phase shift in the industry.

A recent experiment discovered that people using AI might later not remember that they had leaned on AI to solve problems. This raises issues. An AI Insider sco

Domo is positioning itself as the coordination layer between AI models and enterprise systems. Domo’s approach is to move away from prompts as the primary inter

OpenClaw became one of the fastest-growing open-source projects in history — and simultaneously one of the most dangerous. Within six weeks it accumulated 7 CVE

I gave a $5,000/month agency and 3 AI agents the same brief: audit the account, flag waste, give me an action plan. The agency took 5 days and delivered generic

If you've ever tried to add real-time business intelligence to an AI agent, you've probably hit the same wall I did: enterprise APIs cost a fortune and aren't d

The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward inference effi