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See Also: Artificial Intelligence, Identification
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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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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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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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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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Drone Inspection Software
Qii.AI
Qii.AI automates the detection and analysis of defects. It is the only enterprise AI platform that combines drone inspection software with an AI labeling tool, AI-assisted computer vision, and machine learning.
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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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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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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 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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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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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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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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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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Total Moisture Control
SKALA
Advanced machine learning algorithm to generate actionable dashboards, optimize the drying process, and boost your revenue.
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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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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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Camera Automation System
Overcam
Overcam® automates key camera positions around the field of play, helping live sports productions gain extra camera coverage at lower operational costs. Based on robotized cameras and machine learning algorithms, the innovative system delivers high-quality shots with an optimal framing of the action. Designed to work in real-time and offering a dedicated feature set for soccer and basketball productions, Overcam® will seamlessly integrate into your existing multicamera live productions, providing your teams with more options for storytelling.
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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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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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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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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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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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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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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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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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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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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.
