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Building the Foundation for AI-Powered Scientific Instruments
Building the Foundation for AI-Powered Scientific Instruments
Defining the Infrastructure of
What XLING Brings to AiSEM F1
What XLING Brings to AiSEM F1
  • Multimodal Interaction
    Multimodal Interaction
    Voice commands, natural-language text input, and manual controls
  • Autonomous Execution
    Autonomous Execution
    Autonomous task execution delivers an unprecedented leap in productivity.
  • Autonomous Assessment & Decision-Making
    Autonomous Assessment & Decision-Making
    Uses human-like reasoning to identify and resolve unexpected situations.
  • Experience Accumulation
    Experience Accumulation
    Instruments learn from experience and keep improving, reducing their reliance on individual operators' expertise.
  • Safe and Controllable
    Safe and Controllable
    Checks that commands and tasks are valid and safe, helping protect the instrument's hardware.
  • Offline Operation
    Offline Operation
    Runs AI locally to help protect your data.
  • Fully Open API
    Fully Open API
    Compatible with a range of AI models, AI platforms, and external systems.
  • Custom Workflows
    Custom Workflows
    Automatically turns experimental methods into reusable workflows and skills.
Multimodal Interaction
Multimodal Interaction

Start a task with a single sentence.

  • Natural Language
    Natural Language
  • Voice Interaction
    Voice Interaction
  • Manual Controls
    Manual Controls
Autonomous Execution
Autonomous Execution

Understands tasks, plans the steps, and calls instrument functions to enable fully automated imaging.

Autonomous Execution
Autonomous Assessment & Decision-Making
Autonomous Assessment & Decision-Making

Detects problems and resolves them autonomously.

Experience Accumulation
Experience Accumulation

Learns your operating preferences, creates and uses skills, and continually improves its capabilities.

Please focus on the fracture surface of this metal sample, capture images at 200×, 1,000×, and 5,000× magnification, and identify the fracture type.

All steps displayed Hide

Thinking 5.5s

I'll focus on the sample's fracture surface, capture the images, and identify the fracture type. First, I'll check the instrument status, then follow the standard workflow.

Read Status

Status refreshed

Thinking 11.5s

The instrument is operating normally at 38× magnification. I'll initialize the electron beam path, then focus step by step using the standard workflow for fractured metal samples.

Based on previous experience stored in long-term memory, I'll follow these steps for fractured metal samples:

1. Start focusing step by step from the lowest imaging magnification (200x)

2. Complete focusing at twice the highest target imaging magnification: 10,000×.

3. Start focusing at 200× and skip the 500× step.

I'll load the fracture imaging skills, then begin.

Load Skill

Loading skills: sem-fractography-imaging, sem-fracture-analysis

Load Skill

Skill loading completed

Thinking 6.4s

Skill loaded. Now starting the metal fracture imaging workflow.

Step 1: Initialize the device and set the default imaging parameters for metal fracture surfaces: 10 kV accelerating voltage, ET detector, and a 30 μm aperture.

Initialize Device

Device initialization completed

Thinking 18.9s

Device initialization completed. Now setting the default imaging parameters for metal fracture surfaces: 10 kV accelerating voltage, ET detector, and a 30 μm aperture (ApertureNum 0).

Safe and Controllable
Safe and Controllable

Manages all AI-generated commands sent to the instrument.

  • Task Request

    Task Request

  • Immediately recaptured the image
  • XLING Native Agent
    Understand Tasks

    Understand tasks Generate strategies Call instrument functions

  • Immediately recaptured the image
  • Instrument Execution

    Instrument Execution

  • XLING
    Agent Protocol

    Agent Protocol

  • XLING
    Instruction Validation

    Instruction Validation

  • XLING
    Access Control

    Access Control

  • XLING
    Safety Protection

    Safety Protection

  • XLING
    Status Management

    Status Management

  • XLING
    Driver/Interface Adaptation

    Driver/Interface Adaptation

  • Execution Logs · Fully Traceable

    Execution Logs · Fully Traceable

  • Parameter Conflict Checks · Range Checks · Status Checks

    Parameter Conflict Checks · Range Checks · Status Checks

  • External models cannot bypass XLING to control hardware

    External models cannot bypass XLING to control hardware

Offline Operation
Offline Operation

Runs AI locally to help protect your data.

Fully Open API
Fully Open API

Comprehensive, in-depth API access.

Fully Open API
Custom Workflows
Custom Workflows

Automatically turns experimental methods into reusable workflows and skills.

无需重造,仪器也能拥有原生AI中枢
无需重造,仪器也能拥有原生AI中枢
  • workflow

    workflow
  • skill

    skill

Is Your Next-Generation Instrument Ready?
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