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Azure SQL Edge
Bring the security and performance of the Microsoft SQL engine to the edge with Azure SQL Edge running on ARM64 and x64 architecture. This productivity tool for edge computing combines new capabilities such as data streaming and time series with in-database machine learning and graph features. Develop your application once and deploy anywhere across the edge, your datacenter, and Azure. Get the Microsoft SQL database engine optimized for the edge for as low as USD60 per device.
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Digital Processor
DP7000
The DP 7000 Digital Processor with 40/100G Ethernet or 169G Interlaken protocol compatible MPO/MTP® Optics, designed for evolving markets such as Real-Time Stream Processing for High-speed Data-acquisition (DAQ), High Performance Computing (HPC), Machine Learning, Data Center Infrastructure, AI Processing and Network applications. The board is 8U form factor, 322.25 mm x 280 mm x 6 HP (L x W x H), single slot AXIe or AdvancedTCA® blade, ideal for multi-slot 19″ rack mount system integration. In AXIe form factor it provides up-to Gen3 PCIe® backplane connectivity.
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Azure Machine Learning
Empower data scientists and developers with a wide range of productive experiences to build, train, and deploy machine learning models and foster team collaboration. Accelerate time to market with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible machine learning.
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SMARC Short Size Module with NXP i.MX 8M Plus
LEC-IMX8MP
ADLINK LEC-IMX8MP, based on the powerful NXP i.MX8M Plus (quad core Arm Cortex-A53) processor with an optional Neural Processing Unit (NPU) operating at up to 2.3 TOPS., is the first SMARC revision 2.1 compliant module focusing on machine learning and vision, advanced multimedia, and industrial IoT with high reliability. Additionally, it supports dual Image Signal Processors and two camera inputs for an effective Vision System. The LEC-IMX8MP is suited for applications such as smart home, building, city and industry 4.0.
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Internet Of Things
IoT
In a world of smart, connected everything, Altair empowers you to harness the power of the Internet of Things (IoT) to accelerate innovation and unlock business value. Leveraging our dynamic toolset you can deploy edge compute clusters, train and execute machine learning models, implement complex application business logic, perform data transforms, visualize real-time data, and much more. We give you the building blocks for your digital transformation to get moving fast, scale quickly, and continue to improve over time.
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Open Source Machine Learning server
PredictionIO
The Apache Software Foundation
Apache PredictionIO is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you: quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically;unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; etc.
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Open Source Computer Vision & Machine Learning Software Library
OpenCV
Open Source Computer Vision Library
The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc.
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Single-Port 50GbE PCIe Ethernet NIC
P150P
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series P150P 1x50G PCIe NIC is designed to build highly scalable, feature-rich networking solutions in servers for enterprise and cloud-scale networking and storage applications, including high-performance computing, telco, machine learning, storage disaggregation and data analytics.
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PCIe 3.0 Ethernet Controller
BCM57412
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series BCM57412 25G PCIe 3.0 Ethernet controller is designed to build highly-scalable, feature-rich networking solutions in servers for enterprise and cloud-scale networking and storage applications, including high-performance computing, telco, machine learning, storage disaggregation, and data analytics.
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6U VPX GPGPU Processing Cards
Curtiss-Wright Defense Solutions
For systems requiring compute-intensive capability or using deep learning frameworks for AI applications, these highly engineered modules provide a field-proven hardware foundation. These processing powerhouses leverage the latest GPGPU advancements from NVIDIA for machine learning and artificial intelligence applications.
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In-Sight Vision System
D900
The In-Sight D900 is a smart camera powered by In-Sight ViDi software designed specifically to run deep learning applications. This embedded solution helps factory automation customers easily solve challenging industrial OCR, assembly verification, and random defect detection applications anywhere on the line that have gone uninspected because they are often too difficult to program with traditional, rule-based machine vision tools.
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Microsoft Graph Data Connect
Microsoft Graph is the Microsoft 365 data that describes the patterns of productivity, identity, and security in an organization. Microsoft Graph Data Connect offers developers a highly secure, efficient way to copy Microsoft Graph datasets, at scale, into Azure Data Factory. It's an ideal way to train AI and machine learning models that uncover rich organizational insights and deliver new value to your productivity solutions.
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Embedded Computing Modules
Curtiss-Wright Defense Solutions
Our selection of rugged, embedded computing modules has been trusted and proven in defense, commercial, and industrial applications worldwide. Choose from solutions with hardened security, high-performance processing for machine learning and artificial intelligence (AI), and SWaP-optimized, miniature form factors to meet your program requirements.
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Cognitive Computing
Watson
IBM Watson is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data
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AI Powered Software Testing Services
Astute
Leveraging 12+ years of deep experience in test and QA, Infostretch developed ASTUTE – an AI-powered quality engineering suite comprised of intelligent testing services and BOTs that leverage advanced machine learning techniques to optimize every aspect of your testing cycle from discovery to maintenance.
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No-code Test Automation for Modern Software Teams
Rainforest QA
Rainforest introduces QA as an API so testing seamlessly integrates with development workflows. Our model for doing QA right: Recognizes where test automation affords value and efficiency. Leverages machine learning to optimize accuracy and make tests smarter. Introduces human intervention when critical to the best user experience. Rainforest is an on-demand QA solution for agile and CI/CD teams.
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Data Center
InnoLight Technology Corporation
New applications such as digital reality, artificial intelligence, machine learning are driving the network traffic to an unprecedented level. Cloud operators need continuing innovation in optical solutions to support bandwidth demand. InnoLight's comprehensive family of optical transceivers, including 10G, 25G, 40G, 100G, 200G, 400G and 800G will enable cloud operators to rapidly upgrade its network.
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Dual-Port 25GbE PCIe Ethernet NIC
P225P
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series P225P 2x25G PCIe NIC is designed to build highly-scalable, feature-rich networking solutions in servers for enterprise and cloud-scale networking and storage applications, including high-performance computing, telco, machine learning, storage disaggregation, and data analytics.
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Edge AI System
Axiomtek designs, develops and manufactures edge AI (Artificial Intelligence) systems to fulfill AI solution-ready system requirements. The AI embedded systems are ideal for smart manufacturing, machine vision, deep learning, edge computing, and much more.
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25GbE PCIe OCP 3.0 Ethernet Adapter
N425G
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series N425G 4x25G OCP 3.0 adapter is designed to build highly-scalable, feature-rich networking solutions in servers for enterprise and cloud-scale networking and storage applications, including high-performance computing, telco, machine learning, storage disaggregation, and data analytics.
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Signal And Image Processing Research
TPAC solutions are ideal for research in signal processing applied to ultrasound. You need to be able to access to any parameter, implement a particular algorithm, and access to any data during the acquisition or postprocessing phase. TPAC provides you all of these. It can be applied to studies in signal processing, image processing, beamforming, machine learning, etc… Thanks to TPAC’s open platforms, you will be able to freely set the ultrasonic sequences, record the raw data from your experiment, and test your own algorithms or even method. In order to adapt to a wide variety of habits, TPAC proposes multiple APIs (Application Programming Interface) compatible with Matlab, C++, Python, C#, Labview and working under Windows or Linux operating systems. Through a socket, it is even possible to use any OS of your choice.
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Data Insights for Network Operators
KALIX
Get outstanding insight of the customers, services and network, end-to-end. KALIX uses machine learning to analyse data and highlight performance issues in services and networks that affect customer. Keep track of all issues and monitor the impact of automation performance.
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Automatic Audio-Video Sync Detection
BATON® LipSync
BATON® LipSync is an automated tool for lip sync detection and verification. BATON LipSync leverages image processing and machine learning (ML) technology and deep neural networks to automatically detect audio and video sync errors. Using BATON LipSync, broadcasters and service providers can accurately detect audio lead and lag issues in media content in order to provide a superior quality of experience (QoE) to viewers.
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Artificial Intelligence And Machine Learning Testing
AI and ML testing framework can efficiently recognize pitfalls and with constant updates to the algorithms, it is feasible to discover even the negligible error. Essentially, Artificial Intelligence (AI) and Machine Learning (ML) tech are well-trained to process data, identify schemes and patterns, form and evaluate tests without human support. This is made possible with deep learning and artificial neural networks when a machine self-educates based on the given data sets or data extracted from an external source such as the web.
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OCD Solutions
Onto Innovation’s OCD technology offers powerful OCD modeling and advanced machine learning capability, as well as next-generation real-time regression, offline sensitivity analysis tools and comprehensive GUI and structure input for true multi-variant modeling. Both the Ai Diffract and SpectraProbe software packages deliver advanced capabilities in intuitive and easy to deploy hardware form factors.
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Total Moisture Control
SKALA
Advanced machine learning algorithm to generate actionable dashboards, optimize the drying process, and boost your revenue.
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Azure Stream Analytics
Discover Azure Stream Analytics, the easy-to-use, real-time analytics service that is designed for mission-critical workloads. Build an end-to-end serverless streaming pipeline with just a few clicks. Go from zero to production in minutes using SQL—easily extensible with custom code and built-in machine learning capabilities for more advanced scenarios. Run your most demanding workloads with the confidence of a financially backed SLA.
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SparkFun MicroMod Machine Learning Carrier Board
The MicroMod Machine Learning Carrier Board combines some of the features of our SparkFun Edge Board and SparkFun Artemis boards, but allows you the freedom to explore with any processor in the MicroMod lineup without the need for a central computer or web connection. Voice recognition, always-on voice commands, gesture, or image recognition are possible with TensorFlow applications. The cloud is impressively powerful but all-the-time connection requires power and connectivity that may not be available. Edge computing handles discrete tasks such as determining if someone said "yes" and responds accordingly. The audio analysis is done on the MicroMod combination rather than on the web. This dramatically reduces costs and complexity while limiting potential data privacy leaks.
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Automating Captioning Workflows
BATON® Captions
BATON® Captions is an automated solution for all kinds of captioning needs, allowing broadcasters and media professionals to address requirements from caption generation to QC, auto corrections, review, and editing. Leveraging cutting-edge machine learning (ML) and automatic speech recognition technology, BATON Captions brings simplicity and cost savings to the creation, management, and delivery of captions for traditional TV and video streaming.
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Nano Family
The Nano Family is a set of boards with a tiny footprint, packed with features. It ranges from the inexpensive, basic Nano Every, to the more feature-packed Nano 33 BLE Sense / Nano RP2040 Connect that has Bluetooth® / Wi-Fi radio modules. These boards also have a set of embedded sensors, such as temperature/humidity, pressure, gesture, microphone and more. They can also be programmed with MicroPython and supports Machine Learning.
