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What is LiteRT?

LiteRT, which was formerly called TensorFlow Lite, is a sophisticated runtime created by Google that delivers enhanced performance for artificial intelligence on various devices. This innovative platform allows developers to effortlessly deploy machine learning models across numerous devices and microcontrollers. It supports models from leading frameworks such as TensorFlow, PyTorch, and JAX, converting them into the FlatBuffers format (.tflite) to ensure optimal inference efficiency. Among its key features are low latency, enhanced privacy through local data processing, compact model and binary sizes, and effective power management strategies. Additionally, LiteRT offers SDKs in a variety of programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating easier integration into diverse applications. To boost performance on compatible devices, the runtime employs hardware acceleration through delegates like GPU and iOS Core ML. The anticipated LiteRT Next, currently in its alpha phase, is set to introduce a new suite of APIs aimed at simplifying on-device hardware acceleration, pushing the limits of mobile AI even further. With these forthcoming enhancements, developers can look forward to improved integration and significant performance gains in their applications, thereby revolutionizing how AI is implemented on mobile platforms.

What is Bayesforge?

Bayesforgeâ„¢ is a meticulously crafted Linux machine image aimed at equipping data scientists with high-quality open source software and offering essential tools for those engaged in quantum computing and computational mathematics who seek to leverage leading quantum computing frameworks. It seamlessly integrates popular machine learning libraries such as PyTorch and TensorFlow with the open source resources provided by D-Wave, Rigetti, IBM Quantum Experience, and Google's pioneering quantum programming language Cirq, along with a variety of advanced quantum computing tools. Notably, it includes the quantum fog modeling framework and the Qubiter quantum compiler, which can efficiently cross-compile to various major architectures. Users benefit from a straightforward interface to access all software via the Jupyter WebUI, which features a modular design that supports coding in languages like Python, R, and Octave, thus creating a flexible environment suitable for a wide array of scientific and computational projects. This extensive setup not only boosts efficiency but also encourages collaboration among professionals from various fields, ultimately leading to innovative solutions and advancements in research. As a result, users can expect an integrated experience that significantly enhances their analytical capabilities.

Media

Media

Integrations Supported

PyTorch
Python
TensorFlow
AWS Marketplace
C++
D-Wave
Google Cirq
IBM Quantum
JAX
Java
Kotlin
Objective-C
Octave
R
Rigetti Quantum Cloud Services (QCS)
Swift

Integrations Supported

PyTorch
Python
TensorFlow
AWS Marketplace
C++
D-Wave
Google Cirq
IBM Quantum
JAX
Java
Kotlin
Objective-C
Octave
R
Rigetti Quantum Cloud Services (QCS)
Swift

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/edge/litert

Company Facts

Organization Name

Quantum Programming Studio

Company Website

artiste-qb.net/bayesforge/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

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