+
+

Related Products

  • groundcover
    32 Ratings
    Visit Website
  • LM-Kit.NET
    16 Ratings
    Visit Website
  • RaimaDB
    5 Ratings
    Visit Website
  • Workable
    1,110 Ratings
    Visit Website
  • Level 6
    22 Ratings
    Visit Website
  • LTX Studio
    133 Ratings
    Visit Website
  • phoenixNAP
    6 Ratings
    Visit Website
  • RunPod
    152 Ratings
    Visit Website
  • Melis Platform
    1 Rating
    Visit Website
  • SocialLadder
    20 Ratings
    Visit Website

About

SiMa offers a software-centric, embedded edge machine learning system-on-chip (MLSoC) platform that delivers high-performance, low-power AI solutions for various applications. The MLSoC integrates multiple modalities, including text, image, audio, video, and haptic inputs, performing complex ML inference and presenting outputs in any modality. It supports a wide range of frameworks (e.g., TensorFlow, PyTorch, ONNX) and can compile over 250 models, providing customers with an effortless experience and world-class performance-per-watt results. Complementing the hardware, SiMa.ai is designed for complete ML stack application development. It supports any ML workflow customers plan to deploy on the edge without compromising performance and ease of use. Palette's integrated ML compiler accepts any model from any neural network framework.

About

The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Robotics engineers developing autonomous systems, seeking a solution for deploying efficient, real-time machine learning applications at the embedded edge

Audience

Data scientists and machine learning engineers seeking a tool to optimize their natural language processing models with robust sentence embeddings

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

SiMa
United States
sima.ai/

Company Information

Tensorflow
Founded: 2015
United States
www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder

Alternatives

Alternatives

word2vec

word2vec

Google
AWS Neuron

AWS Neuron

Amazon Web Services
Exa

Exa

Exa.ai
txtai

txtai

NeuML

Categories

Categories

Integrations

TensorFlow
Bloomberg
Google Colab
ONNX
PyTorch

Integrations

TensorFlow
Bloomberg
Google Colab
ONNX
PyTorch
Claim SiMa and update features and information
Claim SiMa and update features and information
Claim Universal Sentence Encoder and update features and information
Claim Universal Sentence Encoder and update features and information