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Machine Learning
identification through experience.
See Also: Artificial Intelligence, Identification
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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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Alteryx Machine Learning Platform
https://www.alteryx.com/products/alteryx-machine-learning#:~:text=Scale%20data%20science%20across%20your%20business%20with%20automated%20machine%20learning%20(AutoML)%20and%20feature%20engineering%2C%20empowering%20business%20domain%20experts%20and%20data%20scientists%20alike%20to%20accelerate%20insights.
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Video Encoding and Machine Learning
Fraunhofer Institute for Telecommunications
With the proliferation of video in our everyday lives, the efficient coding, transport, processing and analysis of video signals is becoming more and more important. The Department of Video Coding and Machine Learning is concerned with image and video coding, transport of multimedia data, design of embedded systems for multimedia processing as well as analysis and machine understanding of images and videos.
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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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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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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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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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Deep Learning Bundle
Set of Deep Learning inspection libraries optimized for machine vision applicationsPerforms image classification, supervised or unsupervised segmentation and object localizationIncludes EasyClassify, EasySegment and EasyLocateSimple APIIncludes the free Deep Learning Studio application for dataset creation, training and evaluationSupports data augmentation and masksCompatible with CPU and GPU processing
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Benchtop AOI Machine
Sherlock-300F
Many companies, especially smaller electronics manufacturers, put off adding automated optical inspection (AOI) to their process because of the high capital investment, the sharp learning curve, and the need for an experienced operator to program and fine-tune it. Benchtop Sherlock 300F AOI machine was designed to make in-house AOI affordable and manageable for first-article inspection, prototyping, and even full production inspection requirements. It features the same technology and quality build of the batch and inline Sherlock 300 models—plus the same two full days of installation and training at your facility offered with the other models*—in a smaller size, at a lower price point.
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GPGPU Board
NVP2009
As part of our NVIDIA Pascal™ based chip-down series of GPU XMC products the NVP2009 is ideal for GPGPU applications such as C5ISR, situational awareness, signal intelligence (SIGINT), as well as machine learning and autonomy.
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GPGPU Cards
Curtiss-Wright Defense Solutions
For applications requiring massive parallel compute capability, such as deep learning frameworks for AI applications, our highly engineered GPGPU co-processing engines provide a field-proven hardware foundation. Curtiss-Wright GPGPU co-processing engines leverage the latest NVIDIA Tensor Cores (for machine learning) technology and are a critical component of the high-performance embedded computing (HPEC) ecosystem that delivers data center capability at the tactical edge.
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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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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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I-Pi SMARC Development Kit based on NXP® i.MX 8M Plus Quad Arm® Cortex-A53 Processor
I-Pi SMARC IMX8M Plus
The I-Pi SMARC IMX8M Plus is a SMARC-based smart solution development kit powered by NXP i.MX8M Plus (Quad-core Arm Cortex-A53) processor with a Neural Processing Unit (NPU) at up to 2.3 TOPS.This is the first SMARC R2.1 development kit focused on machine learning, vision, advanced multimedia, and industrial IoT with high reliability. As such, it supports dual image processors and two camera inputs for an effective Vision System, as well as applications beyond, including smart homes, building cities, and industry 4.0.
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I-Pi SMARC Development Kit Based On NXP® I.MX 95 Six-Core Arm® Cortex-A55, M7 & M33
I-Pi SMARC IMX95
The ADLINK LEC-IMX95 is a powerful and versatile SMARC module that delivers high-performance computing, graphics, machine learning, and vision capabilities for IoT and industrial applications. It is based on the NXP i.MX95 processor, which integrates six Arm Cortex-A55 cores, one Arm Cortex-M7 core, one Arm Cortex-M33 core, an Arm Mali GPU, an ISP, and an eIQ Neutron NPU that can run at up to 2 TOPS.
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Lattice SensAI Studio
Graphical interface based tool to help users built accelerated machine learning applications quickly. Select from a range of models pretrained to cover popular use cases, bring in your own data for additional training, validation the quality of training using TensorBoard, compile for Lattice’s FPGAs*Model Zoo with variety of models based on multiple architecture*Easy to use labeling, training, and compilation GUI*Docker container provided for installation on your own machine or server*Free license
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Mobile Network Testing Products
The Rohde & Schwarz mobile network testing (MNT) portfolio consists of standalone products and integrated solutions covering all use cases and test scenarios along the lifecycle of a mobile network. The modular, scalable and future-proof portfolio comprises specially engineered hardware for high-quality data collection, including a versatile range of test scenario-based hardware options, as well as a sophisticated software suite to gain machine learning assisted deep insights.
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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.
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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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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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Open eVision Libraries
Hardware-independent image processing and analysis libraries for machine vision inspection applicationsCompatible with any image source, including frame grabbers, GigE Vision and USB3 Vision camerasSupport the latest technologies such as Deep Learning and 3DAccurate sub-pixel measurement and calibration64-bit and 32-bit libraries for C++ and .NET (C#, VB.NET, C++/CLI) under Windows64-bit libraries for Linux (x86-64)Easy to learn and useRobust, flexible and powerful
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PathWave Waveform Analytics Software
Debug voltage and current spikes, IO glitches, and time shifts in pre-silicon using powerful machine learning.
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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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PCIe 3.0 Ethernet Controller
BCM57417
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series BCM57417 10GBASE-T 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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PCIe 4.0 Ethernet Controller
BCM57504
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series BCM57504 100G PCIe 4.0 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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PCIe OCP 3.0 Ethernet Adapter
N1100G
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series N1100G 1x100G 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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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. Equipped with NVIDIA Tensor Cores (for machine learning), our 6U VPX GPGPU boards offer TFLOPS processing capability alongside maximum memory bandwidth for the most compute-intensive tasks. These rugged, embedded GPGPU modules are ideal of high-performance embedded computing (HPEC) systems requiring supercomputing performance using distributed processing, I/O and low latency system fabrics.
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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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Automated Programmer Superpro Sb05
※ Four Pick & Place nozzles, Eight socket pressing actuators and 2 tape feeders※ High throughput up to 2400UPH※ Embeded with eight ultra-high speed programmers SuperPro / 7500, each with up to 4 sockets, totally 32 sockets. Throughput 60 times higher than SuperPro / SB01 for eMMC devices※ Supports over 80,000 devices from over 300 IC manufacturers※ Supports tray, tape and tube input and output. Supports laser and ink marking※ Short change-over time※ Intelligent s/w cuts learning curve and setup time, makes task management an easy job※ Compact sizeHigh throughput：4 nozzles, 8 independent socket pressing actuators and 2 tape feeders. Up to 2400 UPH for devices with programming time less than 50 sec. Throughput 0.6 to 60 times higher than SuperPro/SB01, especially higher for large capacity devices like eMMC, NAND /NOR FLASH,SPI FLASH. Suitable for both small and large capacity devices. Prog. Time (S) 50 60 120 180 240 300 UPH (unit per hours) 1600 1600 840 560 420 336 Accurate positioning：Equipped with high performance servo system, precise CCD cameras and vision algorithm for device alignment and sockets / pick & place spots positioning.High performance programmers： 8 ultra-high speed universal gang programmers SuperPro/7500 resident. Each with up to 4 sockets, totally up to 32 sockets in the system. Supports up to 100,000 devices from over 300 IC manufacturers and growing.Varied I/O devices：Supports tray, tape and tube input and output. Supports laser and ink marking. Supports packing conversion and can work as a packing conversion machine alone.Short change-over time：I/O devices and socket adaptor are easy to be changed when programming task need to be changed. Socket positioning can be performed automatically. Projects can be loaded automatically with barcode scanning.Powerful and intelligent software：Setup data saved for next operation, log file and statistic reports for quality and yield traceability, flexible sockets prohibition strategy promises high yield rate for unattended operation, graphical user interface cuts learning curve, prevents chip over-lapping by socket checking before chip placing.Remote Control：Remote project loading, quality monitoring, volume control, file security.
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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.
