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Machine Learning
identification through experience.
See Also: Artificial Intelligence, Identification
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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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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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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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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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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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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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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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CCIX
The CCIX® Consortium was founded to enable a new class of interconnect focused on emerging acceleration applications such as machine learning, network processing, storage off-load, in-memory data base and 4G/5G wireless technology. CCIX is a high performance, low latency interface that is based on PCIe Physical layer, up to speeds of 32GT/s. Teledyne LeCroy provides a range of Protocol Analysis tools to support development and debug of CCIX based devices.
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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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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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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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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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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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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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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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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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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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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 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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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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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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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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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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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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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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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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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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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.
