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What is IBM Watson Machine Learning Accelerator?

Boost the productivity of your deep learning initiatives and shorten the timeline for realizing value through AI model development and deployment. As advancements in computing power, algorithms, and data availability continue to evolve, an increasing number of organizations are adopting deep learning techniques to uncover and broaden insights across various domains, including speech recognition, natural language processing, and image classification. This robust technology has the capacity to process and analyze vast amounts of text, images, audio, and video, which facilitates the identification of trends utilized in recommendation systems, sentiment evaluations, financial risk analysis, and anomaly detection. The intricate nature of neural networks necessitates considerable computational resources, given their layered structure and significant data training demands. Furthermore, companies often encounter difficulties in proving the success of isolated deep learning projects, which may impede wider acceptance and seamless integration. Embracing more collaborative strategies could alleviate these challenges, ultimately enhancing the effectiveness of deep learning initiatives within organizations and leading to innovative applications across different sectors. By fostering teamwork, businesses can create a more supportive environment that nurtures the potential of deep learning.

What is EdgeCortix?

Advancing AI processors and expediting edge AI inference has become vital in the modern technological environment. In contexts where swift AI inference is critical, the need for higher TOPS, lower latency, improved area and power efficiency, and scalability takes precedence, and EdgeCortix AI processor cores meet these requirements effectively. Although general-purpose processing units, such as CPUs and GPUs, provide some flexibility across various applications, they frequently struggle to fulfill the unique needs of deep neural network tasks. EdgeCortix was established with a mission to revolutionize edge AI processing fundamentally. By providing a robust AI inference software development platform, customizable edge AI inference IP, and specialized edge AI chips for hardware integration, EdgeCortix enables designers to realize cloud-level AI performance directly at the edge of networks. This progress not only enhances existing technologies but also opens up new avenues for innovation in areas like threat detection, improved situational awareness, and the development of smarter vehicles, which contribute to creating safer and more intelligent environments. The ripple effect of these advancements could redefine how industries operate, leading to unprecedented levels of efficiency and safety across various sectors.

Media

Media

Integrations Supported

AUSIS
Docker
IBM Intelligent Video Analytics
Jupyter Notebook
PyTorch
TensorFlow
Ubuntu

Integrations Supported

AUSIS
Docker
IBM Intelligent Video Analytics
Jupyter Notebook
PyTorch
TensorFlow
Ubuntu

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/deep-learning-platform

Company Facts

Organization Name

EdgeCortix

Company Location

Japan

Company Website

www.edgecortix.com/en/

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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)

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