Showing results: 1 - 15 of 63 items found.
-
Microsoft Azure
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.
-
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.
-
Alteryx, Inc.
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.
-
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.
-
ImpactQA
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.
-
SparkFun Electronics
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.
-
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.
-
SKALA -
METER group
Advanced machine learning algorithm to generate actionable dashboards, optimize the drying process, and boost your revenue.
-
Watson -
IBM developerWorks
IBM Watson is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data
-
Euresys Inc.
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
-
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.
-
Qii.AI -
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.
-
Curtiss-Wright Defense Solutions
For systems requiring enhanced situational awareness or using deep learning frameworks for artificial intelligence applications, these highly engineered modules provide a field-proven hardware foundation. Answering the growing demand for (AI) and high-performance processing in deployed EW and ISR applications, our 3U VPX GPGPU modules are designed to deliver advanced capabilities in a highly rugged, SWaP-optimized board. These processing powerhouses leverage the latest GPGPU advancements from NVIDIA for machine learning and artificial intelligence applications. Equipped with NVIDIA CUDA and Tensor machine learning cores, our 3U VPX GPGPU boards offer TFLOPS processing capability alongside maximum memory bandwidth for the most compute-intensive tasks.
-
NVP2009 -
Abaco Systems Inc
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.
-
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.
