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Machine Learning
identification through experience.
See Also: Artificial Intelligence, Identification
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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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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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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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Dual-Port 10gbe OCP 3.0 Adapter
N210P
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series N210P 2x10G PCIe 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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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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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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Fanless Embedded System With LGA1151 9th/8th Gen Intel® Core™ I7/i5/i3 & Celeron® Processor, 4-CH PoE And MXM 3.1 Type A
eBOX671-521-FL
The eBOX671-521-FL is a GPU computing embedded system that comes with 4-CH PoE and MXM 3.1 Type A slot for applications in machine vision, edge computing, traffic vision, deep learning, and artificial intelligence of things. The outstanding eBOX671-521-FL with enhanced GPU computing performance is powered by the 9th/8th gen Intel® Core™ i7/i5/i3 processor with up to six-core, Intel® Pentium® processor, or Intel® Celeron® processor and comes with Intel® Q370 or optional Intel® C246 chipset. The fanless embedded GPU-based system is equipped with dual DDR4 ECC/non-ECC SO-DIMM slots for up to 64GB of system memory. The embedded vision system has an optional MXM type A slot for NVIDIA GTX1030 and GTX1050 graphics modules to enhance the performance of the visual display. Furthermore, this Intel® Coffee Lake-based embedded box PC is specially designed with four Gigabit 802.3at (PoE, Power-over-Ethernet) compliant Ethernet ports with a total power budget of 60W, six USB 3.1 ports and two Gigabit LANs to connect different devices or sensors. It comes in great expansion possibilities, including one internal MXM 3.1 type A connector, two full-size PCI Express Mini Card slots and two SIM slots. For storage, it has two swappable SATA HDD drive bays with a height of up to 9.5 mm and one mSATA for RAID 0 and 1 feature. Besides, we have designed a flexible I/O window slot for incorporating application-oriented I/O functions to meet the requirements of various cases. This embedded vision computer can be mounted using wall or DIN-rail mounting for versatile use in various environments.
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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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TySOM Embedded Prototyping Boards
TySOM™ is a family of embedded system prototyping boards. Depending on the board, one of three FPGAs will be at its heart: a Xilinx Zynq® UltraScale+™, a Xilinx Xilinx Zynq-7000 or a Microchip PolarFire SoC. The boards are compatible, through industry standard interfaces (FMC or BPX), with Aldec’s wide range daughter cards, making Aldec’s TySOM embedded prototyping boards ideal for the rapid development of applications that include automotive (and ADAS, in particular), artificial intelligence (AI), machine learning (ML), embedded vision, embedded-HPC (including edge-processing), IoT, IIoT and industrial automation.
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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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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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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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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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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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Text Analysis
Text analytics is the process of transforming unstructured text documents into usable, structured data. Text analysis works by breaking apart sentences and phrases into their components, and then evaluating each part’s role and meaning using complex software rules and machine learning algorithms. Data analysts and other professionals use text mining tools to derive useful information and context-rich insights from large volumes of raw text, such as social media comments, online reviews, and news articles. In this way, text analytics software forms the backbone of business intelligence programs, including voice of customer/customer experience management, social listening and media monitoring, and voice of employee/workforce analytics.
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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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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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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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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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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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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/O connectors and four N-jack waterproof antenna openings for operational stability in rugged environments. The eBOX800-900-FL is ideal for AI edge computing and deep learning applications, such as smart city, smart manufacturing, smart transportation, and much more. The eBOX800-900-FL has 8GB of LPDDR4 memory and 32GB eMMC onboard. It comes with a wide range of 100 to 240 VAC power input with 10kV surge protection. The rugged edge computer also features one M.2 SSD PCIe 2.0 x4 socket which supports high-performance NVM Express interface for extensive storage needs. Furthermore, the embedded box PC is equipped with a PoE port to support the applications that require the use of IP cameras or any PoE device, i.e., traffic flow monitoring, license plate recognition, vehicle recognition, machine vision.
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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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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 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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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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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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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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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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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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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.
