Revolutionizing AI withLiquid State Machines

Next-generation neural networks inspired by biological brain processes

Why Liqnect?

Next Generation Edge Computing And Offline Training.

Our platform prioritizes edge computing and offline training capabilities, enabling efficient task execution without expensive hardware requirements. Through modular design principles, users can freely combine different functional components to meet their specific needs while maintaining complete control over data privacy. Our mission is to democratize smart technology tools, allowing everyone to harness AI for their unique creative pursuits and use cases.

Achieved 1000x Efficiency Improvement.

In tasks like personalized video recommendations, our LSM framework leverages plasticity mechanisms to achieve remarkable efficiency gains. Early testing indicates that models trained using this approach can reduce GPU computation requirements by up to 1000x compared to traditional LLM architectures, while maintaining high accuracy in user preference prediction.

LSM Is Driven By Sparse Events.

The LSM architecture is built on Spiking Neural Networks (SNN), utilizing an event-driven computational model. Neural activations occur only in response to specific triggers like user interactions or clicks, resulting in sparse computation patterns. This efficiency is further enhanced by LSM's ability to dynamically restructure itself through synaptic and activity-dependent plasticity, enabling effective task completion with minimal computational overhead.

Our Technology

We are building an open Liquid Neural Network (LSM) platform to help individual users and small companies design and deploy their own intelligent agents at low cost. By introducing theories such as synaptic plasticity, activity-dependent plasticity, and adaptive dynamic systems, our framework can transform users' interactive behaviors into dynamic optimization signals and improve the model's learning capabilities.

  • Real-time temporal pattern recognition
  • Lower computational requirements
  • Better handling of complex temporal dependencies
AI Technology Visualization

Join Our Team

Help us shape the future of AI. We're looking for passionate individuals to join our growing team.

Data Analyst (DA)

Full-Time Remote

Data Scientist (DS)

Full-Time Remote

Senior Data Scientist

Full-Time Remote

Research Scientist

Full-Time Remote

Machine Learning Engineer (Entry-Level)

Full-Time Remote

Machine Learning Researcher

Full-Time Remote

Senior Machine Learning Engineer

Full-Time Remote

Principal Machine Learning Scientist

Full-Time Remote

Data Science Intern

Intern Remote

Responsibilities

  • Design and implement the LSM (Liquid State Machine) framework for processing user interaction data (e.g., video preferences, watching history).
  • Collaborate on data collection, feature engineering, and user interaction analysis, focusing on optimizing the system to be highly energy-efficient.
  • Evaluate the performance and energy consumption of the LSM model on real user data, and optimize it for low resource usage.
  • Perform testing on the LSM architecture in video recommendation tasks, ensuring it scales to large user datasets while maintaining minimal energy costs.

Qualifications

  • Familiarity with machine learning frameworks (TensorFlow, PyTorch).
  • Basic understanding of Liquid State Machine (LSM) or other event-driven models is a plus.
  • Strong analytical and problem-solving skills.
  • Experience with data preprocessing and feature extraction.
Apply Now

Deep Learning Intern

Intern Remote

Responsibilities

  • Work with data science interns to implement deep learning models and test them against the LSM framework.
  • Help compare the performance (accuracy, energy usage, etc.) of LSM and traditional deep learning models (LLMs).
  • Fine-tune the LSM architecture to ensure high accuracy with minimal computational cost.

Qualifications

  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Knowledge of model optimization techniques (e.g., pruning, quantization).
  • Passion for optimizing AI models and learning efficient algorithms.
Apply Now

System Engineering Intern

Intern Remote

Responsibilities

  • Design and optimize the infrastructure for deploying the LSM model in low-power environments (e.g., edge computing devices).
  • Focus on reducing data transfer costs, optimizing storage, and ensuring minimal computational overhead.
  • Explore ways to implement LSM models in mobile or IoT devices for real-time, low-power performance.

Qualifications

  • Familiarity with edge computing principles and optimizing AI models for deployment in low-power environments.
  • Knowledge of system design, distributed computing, and resource management.
  • Strong programming skills (Python, C++) and experience with cloud platforms is a plus
Apply Now

Product Manager Intern

Intern Remote

Responsibilities

  • Define MVP features and user requirements, focusing on personalized video recommendations and low-resource efficiency.
  • Work closely with the technical team to ensure product development aligns with user needs and performance goals.
  • Collect user feedback and provide insights to iterate and improve the platform.

Qualifications

  • Strong understanding of product development lifecycle.
  • Excellent communication and organizational skills.
  • Experience working in agile development environments.
Apply Now

UX/UI Designer Intern

Intern Remote

Responsibilities

  • Design the user interface and experience for the video recommendation system.
  • Ensure that the user experience is intuitive, simple, and optimized for energy-efficient interactions.
  • Implement feedback mechanisms for users to provide insights into their video preferences (e.g., "Why did you like/dislike this video?").

Qualifications

  • Experience in UX/UI design, with a portfolio showcasing past projects.
  • Familiarity with design tools (e.g., Figma, Adobe XD).
  • User-centered design mindset with a focus on simplicity and efficiency.
Apply Now

QA Engineer Intern

Intern Remote

Responsibilities

  • Test the LSM-based recommendation system, ensuring it meets performance and energy-efficiency requirements.
  • Perform stress testing and monitor the system’s behavior under different user loads.
  • Track and report bugs, ensuring high-quality product releases.

Qualifications

  • Familiarity with testing practices, including performance testing, regression testing, and bug tracking.
  • Strong problem-solving skills and attention to detail.
  • Knowledge of testing automation tools is a plus.
Apply Now

Project Manager Intern

Intern Remote

Responsibilities

  • Coordinate tasks and ensure smooth collaboration between the technical, product, and testing teams.
  • Track project progress and milestones, ensuring timely delivery of features and product iterations.
  • Communicate effectively with all team members to align on priorities and deadlines.

Qualifications

  • Strong organizational and leadership skills.
  • Experience managing teams or projects, even in an academic setting.
  • Excellent communication skills and a proactive attitude.
Apply Now

Administrative Intern

Intern Remote

Responsibilities

  • Assist in ensuring compliance with U.S. employment and hiring regulations by supporting administrative processes related to recruitment and onboarding.
  • Perform general administrative tasks, including documentation, scheduling, and maintaining clear communication between internal teams and external partners.
  • Collaborate with HR to organize and manage legal paperwork and maintain accurate records.
  • Contribute to process improvements in administrative workflows to enhance efficiency and compliance.

Qualifications

  • Strong organizational and communication skills, with attention to detail.
  • Familiarity with U.S. employment regulations and HR processes is a plus but not required.
  • Ability to manage confidential information with professionalism and discretion.
  • Proficiency in Microsoft Office Suite or Google Workspace.
Apply Now

Get in Touch

Interested in our technology? Let's discuss how we can work together.