188 stories tagged Automation · page 2 of 8
Instinct, the viral AI assistant, now has its own email address that lets it create accounts, contact businesses, and handle support requests on users' behalf, streamlining routine online interactions.
OpenAI highlights how AI-native companies Basis, Clay, and Exa Labs use AI agents to automate onboarding, account management, and developer integrations, offering lessons for enterprise leaders.
Meta is testing robots to perform routine maintenance and inspection tasks in its data centers, aiming to improve efficiency and reduce human workload. The robots work alongside technicians, not replace them, and are still in early trials.
Security researchers at Intezer found 227 instances where AI coding assistants Claude, Codex, and Hermes generated install commands pointing to code no one owns. The discovery reveals a systemic supply-chain risk in AI-assisted development.
PICasso is an AI framework that automates the design of photonic integrated circuits (PICs) from natural language specifications, converting plain English descriptions into validated chip designs ready for fabrication.
Grok Bot is an AI agent that allows users to automate tasks and delegate work around the clock. It offers a suite of plugins and customization options to enhance productivity. The tool is praised for its versatility and ease of use, making it a standout in the AI agent space.
Gartner estimates that $234 billion in enterprise application software spending is at risk of disruption from agentic AI, which can automate complex workflows and reduce the need for traditional software tools.
A new research paper formalizes Spec-Driven Agentic Development (SDAD), a framework where AI agents backed by large language models ingest entire Functional Requirement Documents and repository context to autonomously deliver software, making specification quality the key driver of the AI-native SDLC.
Asana used OpenAI's Codex to automate a testing system that would have taken five years to complete manually. The project cost about $12,000 and was finished in just two weeks.
OpenAI's new research reveals that enterprises are moving beyond simple AI assistance to deploying AI agents for autonomous task execution. Frontier firms are pulling ahead by integrating AI into core operations, while small businesses can now compete using tools like ChatGPT and Codex.
An AI agent developed by a private company named Assistant AI successfully secured a gym member a spot in an oversubscribed pilates class by automating the cancellation queue, booking the spot within minutes of a cancellation. This demonstrates how AI agents can handle complex real-world tasks for users, but also raises fairness concerns for service providers.
Researchers introduced WebGrader, a self-evolving programmatic grader that autonomously evaluates AI-generated websites, overcoming the reward-design bottleneck in reinforcement learning for web development. This could enable more reliable and functional AI-generated websites from natural-language descriptions.
Cloudflare has introduced Kitesurf, a cloud-hosted browser designed specifically for AI agents. It uses 90% less computing power than Chromium for common automation tasks, making it more efficient for developers building browser-based AI agents.
AutoFOAM is a new AI agent that automates complex fluid dynamics simulations by creating, running, and self-refining OpenFOAM configurations from natural-language instructions, reducing the need for deep technical expertise.
Researchers developed an AI system to evaluate AI-written scientific papers, testing it on four leading AI scientist frameworks. The system assesses originality, rigor, clarity, and significance, offering a new way to compare AI research quality.
Authoryze is a new tool that helps users manage and control payments made by AI agents. It aims to prevent unauthorized spending and provide transparency in AI-driven transactions.
Google Cloud's comprehensive guide explains how AI agents combine Vertex AI, BigQuery, Cloud Functions, and other services to autonomously perform tasks like customer service and data analysis. The guide breaks down the core components—AI models, APIs, data processing, and automation tools—and provides a step-by-step path for developers to build and deploy their own agents.
Researchers introduced EvoPINN, an AI system that uses evolutionary algorithms and large language models to automate the design of physics-informed neural networks (PINNs), eliminating manual tuning and enabling faster, more accessible solutions to complex physics problems.
HERMES AGENT, an AI tool, generated 23,000 clicks in two months on a brand new website using only SEO, with no ads or paid traffic. It connects to Google Search Console and Google Analytics via MCP to automate keyword research, content writing, and indexing checks.
A new ArXiv paper introduces 'Coupled Hierarchical Search over Topology and Execution,' a method that automates the creation of structured workflows for Large Language Models (LLMs). This approach reduces the need for heavy offline training by dynamically linking subtask boundaries with execution outcomes.
Microsoft introduced its first AI security model and a new agentic cybersecurity platform to automate threat detection and response for businesses and individuals using Microsoft Defender and Microsoft 365.
Monday.com announced layoffs this week, citing AI as a factor. The company joins over 20 tech firms — including Google, Microsoft, and Amazon — that have blamed AI for job cuts in 2026, fueling debate about automation's impact on employment.
Researchers from ArXiv cs.AI introduced AINTMA, a multi-agent AI architecture that uses six specialized agents to autonomously handle software test discovery, risk assessment, prioritization, execution, generative quality intelligence, and cloud security monitoring. The system aims to transform traditional test management into a self-improving quality intelligence ecosystem for distributed cloud environments.
NTT DATA Group uses ChatGPT Enterprise and Codex to help 9,000 employees automate work, cutting incident analysis from hours to 30 minutes while scaling secure AI adoption across the organization.