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What is SynapseAI?

Our accelerator hardware is meticulously designed to boost the performance and efficiency of deep learning while emphasizing developer usability. SynapseAI seeks to simplify the development journey by offering support for popular frameworks and models, enabling developers to utilize the tools they are already comfortable with and prefer. In essence, SynapseAI, along with its comprehensive suite of tools, is customized to assist deep learning developers in their specific workflows, empowering them to create projects that meet their individual preferences and needs. Furthermore, Habana-based deep learning processors not only protect existing software investments but also make it easier to develop innovative models, addressing the training and deployment requirements of a continuously evolving range of models influencing the fields of deep learning, generative AI, and large language models. This focus on flexibility and support guarantees that developers can excel in an ever-changing technological landscape, fostering innovation and creativity in their projects. Ultimately, SynapseAI's commitment to enhancing developer experience is vital in driving the future of AI advancements.

What is Synapse PACS?

Modern enterprises require a solution that transcends the limitations of conventional PACS functionalities. This solution integrates imaging data across the organization, enhancing clinical collaboration and streamlining workflows. To remain effective and tackle industry challenges, PACS systems must transform into all-encompassing enterprise imaging platforms. Enter Synapse® PACS, which leverages server-side technology, making it particularly suitable for expanding businesses. Fujifilm has opted for server-side image rendering as the foundational architecture of Synapse PACS. This innovative approach provides unprecedented functionality for professionals across various departments. With Synapse 7x, imaging data can be centralized through a singular diagnostic viewer, enabling improved accessibility to imaging information, the establishment of standardized workflows, and enhanced coordination of patient care. Ultimately, this evolution in PACS technology paves the way for more integrated and efficient healthcare delivery.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
PyTorch
TensorFlow

Integrations Supported

CARPL
Fluency for Imaging
Synapse 3D
Tiger Bridge

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Habana Labs

Date Founded

2016

Company Location

Israel

Company Website

habana.ai/training-software/

Company Facts

Organization Name

Fujifilm

Date Founded

1934

Company Location

Japan

Company Website

healthcaresolutions-us.fujifilm.com/enterprise-imaging/synapse-pacs

Categories and Features

AI Infrastructure

Not specified

Deep Learning

Not specified

Categories and Features

PACS

HL7 Support
Image Management

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