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Description
LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.
Description
Products must not only be functional but also economically viable. Reality AI combines machine learning with sophisticated signal processing mathematics, providing rapid and efficient machine learning inference that can operate on the tiniest microcontrollers, thus enabling advanced features in cost-effective hardware. Engineers are unlikely to implement a solution they do not fully comprehend. With Reality AI Tools®, users gain insights through visual representations of model behavior across both time and frequency domains, facilitating clear explanations to colleagues and stakeholders regarding model performance. A significant portion of the expenses associated with machine learning initiatives—up to 80%—is attributed to instrumentation and data collection. Reality AI Tools® excels at determining the most budget-friendly combinations of sensor channels, optimizing sensor placements, and establishing essential component specifications. Additionally, it assists in controlling data collection costs by identifying issues with instrumentation and data processing while data is being collected, ensuring a more streamlined process overall. This comprehensive approach not only enhances project efficiency but also empowers teams to make more informed decisions throughout the development phase.
API Access
Has API
API Access
Has API
Integrations
C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow
Integrations
C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
ai.google.dev/edge/litert
Vendor Details
Company Name
Reality AI
Founded
2015
Country
United States
Website
reality.ai
Product 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)
Product 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)