Machine Learning
identification through experience.
See Also: Artificial Intelligence, Identification
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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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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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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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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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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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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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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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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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Digital Twin
Engineering simulation software has traditionally been used for new product design, but with the advent of advanced embedded sensors, engineers can now use this data to create digital twins. Digital twins can be used in real-time systems analysis to schedule predictive maintenance and implement performance optimizations. With the Hybrid Analytics capability of Ansys, engineers can reach an unparalleled level of accuracy using predictive analytics by combining machine learning (ML)-based analytics with a physics-based approach.
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Dual-Port 10G PCIe Ethernet NIC
P210P
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series P210P 2x10G 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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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 se...show more -
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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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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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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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Total Moisture Control
SKALA
Advanced machine learning algorithm to generate actionable dashboards, optimize the drying process, and boost your revenue.
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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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Rugged IP67-rated Fanless Edge System With NVIDIA® Jetson™ TX2, HDMI, GbE LAN, 1-CH PoE, USB 2.0 And 100 To 240 VAC Power Input
eBOX800-900-FL
The Artificial Intelligence (AI) embedded system, eBOX800-900-FL, adopts a full IP67-rated extruded aluminum and heavy-duty steel case for dust protection and water resistance. Moreover, the AI embedded system comes with a wide operating temperature range of -30°C to 60°C (-22°F to +140°F) and a vibration endurance for up to 3Grms. The embedded system is powered by the NVIDIA Jetson™ TX2 module which has a powerful 64-bit ARM A57 processor and 256-core NVIDIA® Pascal GPU. It features M12 type I/...show more -
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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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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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SMARC® 2.1 Short Size Module With NXP I.MX95
LEC-IMX95
ADLINK LEC-IMX95, based on the powerful NXP i.MX95 (6x Arm Cortex-A55 + 1x Arm Cortex-M7 + 1x Arm Cortex-M33) processor with an integrated ISP and eIQ Neutron Neural Processing Unit (NPU) operating at up to 2 TOPS., is the latest SMARC revision 2.1 compliant module. It combines power-efficient high-performance compute, immersive Arm® Mali™-powered 3D graphics, innovative NXP NPU accelerator for machine learning, and high-speed data processing with safety and security features.
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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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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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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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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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Sound Analysis-Synthesis
iNSTiTUT DE RECHERCHE ET COORDiNATiON ACOUSTiQUE/MUSiQUE
The analysis of sounds includes methods enabling the permanent extraction or automatic structuring of diverse sorts of information given off by the signal, such as the fundamental frequency or the spectral evolution determining the pitch and timbre of a perceived sound. Information outside what is strictly musical is also taken into consideration, notably concerning industrial acoustics, sound design and multimedia as well as the automatic indexing of recorded sounds. The methods used are based on signal processing, statistical analysis, information theory, machine learning and recognition techniques, but also on knowledge of auditory perception.
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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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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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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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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.
