Skip to content
Linkbricks Horizon-AI
Technology

SKYNET HYBRID MODAL AI

What is Hybrid Modal AI?

Multimodal AI is artificial intelligence technology that mimics various human senses to process and understand different types of data at the same time. Crossmodal AI, on the other hand, is technology that enables interaction and transformation between different data modalities such as text, images, and audio. "Multimodal AI + Crossmodal AI = Hybrid Modal AI" is a concept that combines the strengths of both technologies to envision a more advanced artificial intelligence system.

0808Explore
01

Multimodal AI

Multimodal AI refers to artificial intelligence technology that mimics various human senses (e.g., vision, hearing, touch) to simultaneously process and understand different types of data. Here, "modal" refers to the form or type of data, and multimodal AI has the capability to integrate and analyze multiple modalities such as text, images, audio, and video to provide comprehensive responses or analyses.

02

Crossmodal AI

Crossmodal AI refers to artificial intelligence technology that enables interaction and transformation between different data modalities (such as text, images, and audio). While similar to multimodal AI, crossmodal AI focuses on converting information from one modality to another or connecting them seamlessly.

03

Multimodal AI + Crossmodal AI = Hybrid Modal AI

"Multimodal AI + Crossmodal AI = Hybrid Modal AI" is a concept that combines the strengths of both technologies to envision a more advanced artificial intelligence system.

04

Integrated Understanding + Transformation Capability

Simultaneously processes multiple modalities (multimodal) while seamlessly performing modality conversions (crossmodal).

  • Example: Generating an image from text and then combining that image with the text for further contextual analysis.
05

Dynamic Interactions

Enables interactions between different modalities and facilitates holistic learning across modalities.

  • Example: Generating image captions and then creating additional images based on those captions.
06

Advanced Applications

Combines the data fusion ability of multimodal AI with the transformation capability of crossmodal AI to handle complex tasks.

  • Example: In the medical field, analyzing an X-ray (image modality), generating a diagnostic report (text modality), and converting it into audio instructions (speech modality).
07

Potential Applications of Hybrid Modal AI

  • Education โ€” Answering student questions (text) by generating learning materials (images/videos) and providing verbal explanations (audio).
  • Healthcare โ€” Analyzing medical data across multiple modalities (e.g., X-rays โ†’ explanations โ†’ audio reports).
  • Entertainment โ€” Creating videos (visual modality) and sound effects (audio modality) based on a story (text modality).
  • Autonomous Driving โ€” Integrating vision (camera), sound (sensor alerts), and contextual decision-making in real time.
08

Benefit of Hybrid Modal AI: Linkbricks Horizon-AI Cross & Multi Modal AI Technology

  • Text โ€” text-based Cross Modal LLMs with varying parameter sizes.
  • Voice โ€” Synchronous, asynchronous, and real-time voice LLM.
  • Image โ€” Low-cost LLM for text-to-image, image-to-text, and image-to-image.
  • Music โ€” Fast and cost-effective LLM for music generation, music-to-music, and text-to-music.
  • Video โ€” Low-cost LLM for video generation, text-to-video, and video-to-text.
  • Physical โ€” Genesis and Omniverse Physics platform designed for general-purpose Robotics/Embodied AI/Physical AI with LLMs.

Technology Gallery

2 images

Technology

Back to โ€” Technology