Skip to main content
Search

# AI agent

41 related articles

Subscribe to updates
  1. unipat.ai

    Can AI agents predict wet-lab results? SPU scores 100 public and 16 unpublished experiments, and the best configuration beats chance on only about half its tasks

    Science Prediction Universe (SPU) places AI agents in a real wet-lab prediction setting: given only experimental conditions and candidates, an agent has eight hours to search the literature, run calculations and rank candidates, which are then scored against measurements by Spearman correlation. The 100 public tasks come from recent Nature Portfolio papers and the 16 private tasks from unpublished experiments, so retrieval cannot help. The best of thirteen frontier-model configurations beats chance on only about half its scored tasks, and more reasoning effort or more tool families brought no detectable score gain.

  2. Sierra blog

    Personal Agent Protocol Poppy ships 1.0: every Shopify store now publishes a Poppy file, and Meta's Muse looks for it first

    Personal Agent Protocol, or Poppy, has moved from draft to version 1.0, defining how personal agents connect with companies through business agents, websites and APIs while reusing existing standards such as MCP, OpenAPI and UCP, with OAuth letting customers control what an agent may do. Shopify has enabled Poppy for every merchant on its platform, with each store automatically publishing a Poppy file and needing no extra implementation, and Meta's agent Muse now looks for Poppy first on every site it visits. Design partners have grown from the initial group to more than 100, with Mercury, Synchrony and Turkish Airlines already live in specific scenarios.

  3. arXiv

    CALPHAD databases now ship with their decisions: ORCHID-SAGE record lets a Cr–Ni assessment be rebuilt on a second machine

    Building a phase-diagram database has long depended on expert judgment that is rarely recorded, so published CALPHAD assessments are hard to regenerate or update as new data arrive. ORCHID-SAGE splits an assessment into a general protocol, a system-specific protocol and run cards for each execution, and distributes them with the database. For Cr–Ni, that record alone let a script on a second machine and an AI agent working only through an MCP server regenerate the database, with predictions inside the tolerances declared in advance.

  4. Hacker News

    Leeroo open-sources Kapso: enterprise data work becomes an experiment loop with a git-shared lesson bank

    Leeroo has open-sourced Kapso, an engine for enterprise data work: given an objective and success criteria, it proposes hypotheses, runs experiments in a sandbox, and writes the results back into a lesson bank that carries credence scores and applicability conditions. The bank is built on git, so teams can share and update it, and the system is model-agnostic and coding-agent-agnostic, running a shorter experiment loop on the target stack to adapt the best solution at deploy time.

  5. ElevenLabs Blog

    ElevenLabs opens a marketplace for enterprise AI agents, letting companies shop by industry and, from next year, buy with existing commitments

    ElevenLabs launched an enterprise marketplace listing industry-specific AI agents and voice applications built on ElevenLabs by partners including Salesforce, IBM, NiCE, Twilio and Zendesk, spanning financial services, insurance, healthcare, telecommunications, retail and government. Enterprises can browse solutions and contact the partners behind them to evaluate deployment, while partners gain a new channel to showcase their applications. ElevenLabs says that from next year enterprises will be able to buy eligible partner solutions through the marketplace using their existing ElevenLabs commitments.

  6. Microsoft details Lazarus backdoor: rewriting fewer than 10 dormant neurons makes an AI agent download and run attacker code on cue

    Microsoft researchers describe Lazarus, a backdoor that needs no retraining: rewriting fewer than 10 rarely firing dormant neurons in a large language model is enough to make an AI agent built on it execute attacker commands when a hidden trigger appears. The trigger can be as mundane as a date change, the model passes standard evaluations, and reliable detection requires diffing weights against the original, so provenance and weight integrity become central.

  7. NVIDIA's FOX blueprint puts a factory manager agent in charge of inspection, rework and root-cause agents

    NVIDIA released the Factory Operations Blueprint (FOX), a reference architecture that adds a factory manager agent to existing factory systems and has it coordinate specialist agents for inspection, root-cause analysis and fleet management. Previously, factory teams had to gather evidence across systems, consult specialists and coordinate the next step, which took substantial time and manual querying. FOX's SMT reference example follows an AOI alert through secondary inspection, rework transport in a digital twin and analysis of reflow oven readings, then returns a PDF report with source records and recommended actions.

  8. Vercel Labs ships agent-desktop: AI agents read desktop accessibility trees and act on refs instead of screenshots

    Vercel Labs has released agent-desktop, which lets AI agents operate desktop apps on macOS, Windows and Linux without screenshots or pixel matching. It reads an app's accessibility tree as JSON, assigns a ref to every element the agent can act on, and the agent clicks or types on a ref, then reads the UI again to verify. The tool ships as a CLI and a C library, contains no model, and leaves the observe-act-verify loop in the agent.

  9. Cloudflare Blog

    Cloudflare gives agent traffic its own identity: sites can see the user behind an agent and block just one account

    Cloudflare puts the identity problem that personal AI agents create for websites on the table: a remotely hosted agent acts for a user, yet the site sees only the agent and struggles to recognize, serve and hold accountable the user behind it. It proposes identity, reputation and accountability as the three mechanisms that preserve the site-user relationship, and has shipped three capabilities: listing personal assistants as a separate traffic category, setting access per agent, and showing at login and sign-up which agent made the request.

  10. Yidu Tech releases TCM evidence agent Xiaohuangqi: answers traceable sentence by sentence, 8,000+ terms translated

    At the 2026 World Conference on Traditional Medicine, Yidu Tech released Xiaohuangqi, a traditional Chinese medicine evidence agent that supports classic-text search, guideline and literature tracing, syndrome differentiation assistance, formula lookup and terminology translation. TCM knowledge is complex, terminologically distinctive and spread across many sources, so the system grounds answers in evidence and traces each sentence to its source to reduce the risk of AI hallucination. Its knowledge base draws on People's Medical Publishing House TCM knowledge and more than 8,000 international TCM terms; Yidu ZhiXun and the Yidu clinical assistant are reported in use at more than 40 well-known hospitals nationwide.