Name: Flex Logic InferX X1
Author: Flex Logic Technologies, Inc

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Corporate Learning Management

Credentialing

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Data Center Outsourcing (USA)

Data Mapping

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Hyper-Converged Infrastructure

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Unified Endpoint Management (UEM)

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A/B Testing

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All-in-One Marketing

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Digital Signage

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Survey & Forms Building

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Flex Logic headquartered in Mountain View offers InferX X1, is an AI edge inference accelerator that enables megapixel neural network models in high performance applications. The InferX Edge Inference SDK finds an optimal hardware mapping for each layer of a neural network without making any modifications to the underlying model, and the compiled binary can then run on any InferX X1 chip or board using the Flex Logic runtime environment.

KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.

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KNIME Community Hub  Personal Plan

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KNIME Analytics Platform

Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization.  Its Data Science Workspace is a collaborative environment for practitioners to run all analytic processes in one place, and manage ML models across the full lifecycle. The Machine Learning Runtime (MLR) provides data scientists and ML practitioners with scalable clusters that include popular frameworks, built-in AutoML and optimizations.

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Flex Logic  InferX X1

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

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Flex Logic Technologies, Inc

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Flex Logic InferX X1

Overview

What is Flex Logic InferX X1?