Alternatives to Overview

Amazon Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses. Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.

Manage unstructured data to develop AI solutions in record time. Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone. Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.

FortressIQ is the industry's most advanced process-intelligence platform. It allows enterprises to decode work and transform experiences. FortressIQ combines innovative computer vision with artificial intelligence to provide unprecedented process insights. It is extremely fast and delivers detail and accuracy that are unattainable using traditional methods. The platform automatically acquires process data across multiple systems. This empowers enterprises to understand, monitor and improve their operations, employee and customer experience, and every business process. FortressIQ was established in 2017 and is supported by Lightspeed Venture Partners and Boldstart Ventures as well as Comcast Ventures and Eniac Ventures. Continuously and automatically identify inefficiencies and process variations to determine optimal process paths and reduce time to automate.

Our platforms are a solid foundation for custom machine learning and artificial Intelligence solutions. Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms. Custom, continuously-improving deep learning vision models to solve your unique challenges. Forecasts that are up-to-date will help you predict the future. Cloud-based tools that monitor and analyze cloud data will help you make better decisions for your company. Experienced data scientists and engineers face a challenge in transforming a machine learning application from research and ad hoc code to a robust, scalable platform. With a comprehensive suite of tools to manage and deploy your machine learning applications, Strong ML makes this easier.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

Alfi, Inc. engages in creating interactive digital out-of-home advertising experiences. Alfi uses artificial intelligence and computer vision in order to better serve ads. Alfi's Ai algorithm, which is proprietary to the company, can detect subtle facial cues and perceptual details in order to determine if potential customers are a good candidate for a product. The automation is completely anonymous and does not track, store cookies or use identifiable personal information. Ad agencies can access real-time analytics data, including interactive experiences, engagement, sentiment and click-through rates that are otherwise unavailable for out-of-home advertisers. Alfi, powered AI and machine learning, collects data that allows for better analytics and relevant content to improve the consumer experience.

A class-agnostic, pixel-perfect automated annotation platform. Built for teams that have a lot of data and strict quality requirements but little time. Ground truth creation can be scaled up 10x. Collaborate with unlimited team members, annotators and seamlessly integrate into your deep learning pipeline. Create ground truth 10x faster with pixel-perfect annotations. Use V7's intuitive tools for labeling data and automating your ML pipelines. The ultimate image and Video Annotation Solution

Interplay Platform is a patented low-code platform with 475 pre-built Enterprises, AI, IoT drag-and-drop components. Interplay helps large organizations innovate faster. It's used as middleware and as a rapid app building platform by big companies like Circle K, Ulta Beauty, and many others. As middleware, it operates Pay-by-Plate (frictionless payments at the gas pump) in Europe, Weapons Detection (to predict robberies), AI-based Chat, online personalization tools, low price guarantee tools, computer vision applications such as damage estimation, and much more.

We make it easy for you to add superhuman computer vision into your applications, devices, and processes to give yourself an unassailable competitive edge.

With just 30 images, you can quickly create a machine-learning (ML) model that will spot anomalies in your live process line. Identify visual anomalies immediately to reduce defects and improve product quality. Visual inspection data can be used to detect potential problems and take corrective actions. This will prevent unplanned downtime and lower operational costs. You can spot damage to the product's surface, color, or shape during fabrication and assembly. Based on the presence, absence, or placement of objects (e.g. a missing capacitor on a printed circuit board), you can determine what is missing. Detect defects that have repeating patterns, such repeated scratches on the same spot on a silicon wafer. Amazon Lookout for Vision, an ML service that uses computer visualisation to spot defects in manufactured products on a large scale, is called Amazon Lookout for Vision. Computer vision is used to spot product defects and automate quality inspection.

Neurala has a mission to assist manufacturers in improving their vision inspection process. Automation is essential due to issues such as supply chain issues, labor shortages, recall risk, and other factors. Our Visual Inspection Automation software (VIA), detects anomalies and defects in products that are not typical. This software is more powerful than traditional machine vision. Our proven vision AI technology allows manufacturers to scale production, reduce waste, adapt to workforce changes, and achieve higher quality control. Neurala software is based on our patented Lifelong Deep Neural Network (LDN)™. It offers the first cost-effective vision AI tool that you can easily retrofit into your existing production line infrastructure without the need to hire AI experts or spend large capital. Neurala allows you to deploy your vision AI models in a way that suits your business needs, either to cloud or on-premise.

Elementary's simple-to-use software, deep-learning AI, and camera systems are designed to capture visual data, deliver reliable and fast real-time judgements, and add lasting value to your company. Elementary's simple-to-use software, deep-learning AI, and camera systems are designed to capture visual data, deliver reliable real-time judgements, and add lasting value to your company. Integrations of PLC, machine, or automation. Multiple inspections can be run simultaneously. High-speed inspection via AI on the edge You can make your factory floor more productive and increase warehouse associate productivity by 50%. Keep your product line in check like never before. Get 90% more detections in manufacturing operations. Our plug-and-play solution saves time and money. Remote deployment takes only 20 minutes. Remote access is essential in today's workplace to keep up with rapidly changing conditions. Secure cloud technology is crucial for staying informed.

VisionPro Deep Learning is the best deep learning-based image analysis program for factory automation. Its field-tested algorithms have been optimized for machine vision. The graphical user interface makes it easy to train neural networks without sacrificing performance. VisionPro Deep Learning solves complex problems that are too difficult for traditional machine vision. It also provides consistency and speed that can't be achieved with human inspection. Automation engineers can quickly choose the right tool for the job by combining VisionPro's rule-based visual libraries. VisionPro Deep Learning is a combination of a comprehensive machine vision tool collection with advanced deep learning tools within a common development-deployment framework. It makes it easy to develop highly variable vision applications.

Flexible Vision is an AI machine-vision software and hardware solution that allows your team to quickly and efficiently solve difficult visual inspections. Your teams can collaborate and share vision inspection program across factories floors using the cloud portal. Collect 5-10 images of both good and bad parts. Optionally, our software can increase the sample size by augmentation. Your model will be created in a matter of seconds by clicking a button. In a matter of minutes, your model will be ready to go. Your AI model will automatically deploy, and is ready for validation. The model can be downloaded or synced to as many production lines as you need. Our industrial processors are fast at processing your images. Select the ai model you want and see the detections on screen. Our systems can be used in traditional factory automation or as manual inspection stations. Our systems can be used in both field-bus and IO mode.

BriefCam®, a complete video content analytics platform, drives exponential value from surveillance system investment by making video searchable. It also makes it actionable and quantifiable. VIDEO SYNOPSIS® and Deep Learning solutions combine to enable quick video review, search, face recognition, and quantitative video insights. This technology improves post-event investigation productivity by pinpointing individuals and objects of interest quickly and precisely. Organizations can respond quickly to changes in their environment with real-time alerting capabilities. Users can quantitatively analyze their video by extracting and aggregating video metadata, such as the names of men, women, children and vehicles. BriefCam's video content analytics platform for video content is used by law enforcement, public safety agencies, government and transport agencies, major corporations, healthcare, and educational institutions.

Viso Suite is the only platform that can handle computer vision from all sides. It allows teams to quickly train, create, deploy, and manage computer vision applications without having to write code. Viso Suite enables you to create industry-leading computer vision systems and real-time deep learning systems using low-code and automated software infrastructure. Traditional development methods, fragmented tools and a lack of experience engineers are causing organizations to lose a lot of time, which can lead to inefficient, low-performing and costly computer vision systems. Viso Suite, an all-in-one enterprise visual platform, automates the entire lifecycle to build and deploy computer vision applications. High-quality training data can be collected using automated collection capabilities. All data collection can be controlled and secured. Continuous data collection is a key component of your AI models.

No coding required. Detect visual defects using any camera in any spectrum. Matroid's computer-vision software allows for reliable safety-critical inspections with digital traceability. Matroid validates that humans follow standard operating procedures. Matroid continuously monitors manual operations and verifies them to capture timestamps, cycles counts, and cycle time. Matroid offers real-time alerts and video analytics. Capture actionable insight for continuous improvement. Implement cutting-edge technologies to detect unsafe conditions, receive real-time notifications and report safety incidents with video playback. Matroid continuously monitors all tasks performed at gates and verifies them to provide real-time insights using video analytics.

DeepCube is a company that focuses on deep learning technologies. This technology can be used to improve the deployment of AI systems in real-world situations. The company's many patent innovations include faster, more accurate training of deep-learning models and significantly improved inference performance. DeepCube's proprietary framework is compatible with any hardware, datacenters or edge devices. This allows for over 10x speed improvements and memory reductions. DeepCube is the only technology that allows for efficient deployment of deep-learning models on intelligent edge devices. The model is typically very complex and requires a lot of memory. Deep learning deployments today are restricted to the cloud because of the large amount of memory and processing requirements.

SightBit provides an AI-powered solution for enhancing safety and security around open water by "reading" the water using off-the-shelf video cameras. The company’s proprietary deep-learning AI models and computer vision technology enable capabilities including object detection and classification, drowning detection, hazard detection and prediction, object penetration detection and pollution detection. SightBit’s technology detects, monitors, and provides alerts regarding events such as rip currents, inshore holes and vortexes while simultaneously providing management capabilities. The company’s solution can easily be deployed without the need for sensors, edge processors, or customization. SightBit’s system sends real-time information to monitors in various control rooms, sounding alarms when people are in danger, notifies personnel when a security breach is taking place, and alerts to pollution spills in the water as well as provides immediate prediction to the pollution spread.

Neuralhub is an AI system that simplifies the creation, experimentation, and innovation of neural networks. It helps AI enthusiasts, researchers, engineers, and other AI professionals. Our mission goes beyond just providing tools. We're creating a community where people can share and collaborate. We want to simplify deep learning by bringing together all the tools, models, and research into a collaborative space. This will make AI research, development, and learning more accessible. Create a neural network by starting from scratch, or use our library to experiment and create something new. Construct your neural networks with just one click. Visualize and interact with each component of the network. Tune hyperparameters like epochs and features, labels, and more.

Our MIND platform will help you solve your problem. We then train your staff to maintain the solution, and re-initialize the underlying models if necessary. Our products and services are used by businesses in the industrial, medical, consumer service, and consumer service industries to automate processes that were previously only possible with human intervention. Quality assurance in the food industry. Counting and classifying cells in biomedicine. Analyzing gaming performance. Measuring geometrical characteristics (position, size, profile, distance, angle. Tracking objects in agriculture. Time series analysis in sport and healthcare. Our MInD platform allows you to build AI solutions for your business. It provides all the tools you need to develop deep learning solutions in each of the five stages.

Deep learning algorithms offer the best accuracy and speed on the market. No development costs required to implement cutting-edge vision automation. Intuitive web interface allows you to create powerful and custom image recognition programs. We constantly improve the underlying machine-learning algorithms to keep you up-to date. Create a custom neural network that recognizes your images. Ximilar acquired Vize to make it faster, more efficient, and add business-critical features. Visit the Ximilar Homepage for more information.

Cloneable combines sophisticated logic with an easy-to-use builder that doesn't require any code to create custom deep-tech apps compatible with any device. Cloneable integrates your deep tech with unique business logic so you can create and distribute tailored apps on any edge device. Apps can easily be created in minutes. This is perfect for non-technical audiences who want to make immediate process changes, and for engineers that want to rapidly develop complex field tools. Launch, update, and test your AI models and computer vision on any device (phones, IoT, clouds, robots). Cloneable's builder allows you to deploy apps instantly. You can use your own model, or one of our templates, to accelerate any data collection process. Cloneable is built with unlimited flexibility so you can count assets, measure them, inspect them, and track their location. Intelligent apps can digitize processes, scale expertise, increase transparency and auditability, among other things.

Create a custom computer vision model in minutes. AI Custom Vision is part of Azure AI services and allows you to customize and embed the latest computer vision image analysis in specific domains. Create frictionless customer experiences. Optimize manufacturing processes. Accelerate digital marketing campaigns. No machine learning knowledge is required. Set your model to recognize a specific object for your application. Easy to build your image identifier using the simple interface. Upload and label a few images to start training your computer vision models. The model will test itself and improve its precision as you add more images. Use customizable, built-in retail, manufacturing, or food models to speed up development. Minsur, the world's largest mine of tin, uses AI Custom Vision to achieve sustainable mining. You can rely on enterprise-grade privacy and security for your data.

Cogniac's no code solution allows organizations to take advantage of the latest developments in Artificial Intelligence and convolutional neural network technology to deliver extraordinary operational performance. Cogniac's AI platform for machine vision enables enterprises to reach Industry 4.0 standards via visual data management and automated automation. Cogniac helps organizations' operations divisions deliver smart continuous improvement. Cogniac's user interface was designed to be used by non-technical users. The Cogniac platform's drag-and-drop nature allows subject matter experts and other specialists to concentrate on the tasks that are most important. Cogniac can detect defects in as few as 100 images. After being trained with 25 approved images and 75 deficient images, Cogniac AI can deliver results comparable to human subject matter experts within hours.

Paravision is a platform for computer vision developers that powers face recognition applications in mission-critical situations. Our SDK's, API's, and API's provide complete security and frictionless experiences. They are powered by an industry-leading feature list.

Unleash Live is an A.I. video analytics enterprise solution provider. We combine any camera's vision with computer vision to provide actionable data in real time. This will give your company immediate insight to reduce costs, increase productivity, improve accuracy, and improve safety. You can connect a wide variety of cameras. Any combination of IP/CCTV/drone, body cam, mobile, or robotic cameras can be connected. You can live stream from the field, share it with your team, and upload footage to your account. A. I Apps can be downloaded from the app store to detect, inspect, monitor and monitor objects and items. You can also create 2D orthomaps or 3D models. You can integrate results into your operational workflow with notifications, API integrations, and live dashboards. Collaboration is simplified and made easier by removing the complexity and time involved. Instantly connect any combination of cameras to share via a live stream with stakeholders or third parties. All you need is a browser.

The Descartes Labs Platform was created to address some of the most pressing geospatial analysis questions in the world. The platform allows customers to quickly and efficiently build models and algorithms that transform their businesses. We help AI become a core competency by providing data scientists and their line of business colleagues with the best geospatial and modeling tools in one package. Our massive data archive and their own data can be used by data science teams to create models faster than ever before. Our cloud-based platform allows customers to rapidly and securely scale machine learning, statistical, or computer vision models to inform business decisions using powerful raster-based analytics. Our extensive API documentation, tutorials and guides, as well as demos, provide users with a rich knowledge base that allows them to quickly deploy high-value apps across a variety of industries.

Forge Lab provides AI training and simulations for vision-guided robots in a fast and convenient way. Manufacturing engineers can test their automation strategies and receive ready-made vision programs. AI-powered vision can lead to huge improvements in product quality and reliability. This includes retrofitting existing cells or new cells, as well as manual processes. AI-driven vision makes robotic cells more productive and reliable. Now you can use vision-guided robots with less risk and expertise. Vue software will change robotic guidance, bin-picking, assembly, and more at your facility. The AI will learn to understand the parts so that the robot can make the most efficient, safest and reliable movements to handle them. Vue knows how to avoid collisions in the operating area even when the object is in hand. The AI can accurately and precisely place the object or assemble it together with another object, since it understands the way the object was picked up.

Recogni unlocks new possibilities in perception processing Our vision recognition module (VCM) is based on a custom ASIC and can run deep-learning networks with incredible efficiency. This purpose-built solution allows cars to detect small objects over long distances and consume minimal battery power.

Built on the foundation of real AI, Quantarium's innovative-yet-explainable solutions enable more accurate decision making, comprehensively spanning valuations, analytics, propensity models and portfolio optimization. Real estate insights that provide the most accurate information about property trends and values. Industry-leading, highly scalable, resilient and next-generation cloud infrastructure. Quantarium's adaptive AI computer-vision technology is trained from millions of real estate photos and then integrated into a variety of QVM-based solutions. Our managed data set, which is an asset in the Quantarium Data lake, is the most dynamic and comprehensive in the real estate industry. This data set is machine-generated and AI-enhanced. It was curated by AI scientists and data scientists, as well as software engineers and industry experts. It is the new standard for real estate information. Quantarium combines deep domain knowledge, self-learning technology, innovative computer vision, and a wealth of industry expertise.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

Sighthound's AI video solutions unlock the potential of your data. This results in valuable user insights, a reduction in operational costs, and an increase in revenue for privacy and vehicle recognition. Sighthound’s own computer vision lab offers state-of-the art deep learning solutions. Patented technology that outperforms commercial and academic benchmarks. The system can detect vehicles using static or moving cameras, and will return the make, color, and model of any vehicle sold since 1991. You can read license plates from many countries, including the US, Canada, and EU. Track license plates, trucks, motorbikes and people in a video.

EPIC iO combines software-enabled offerings to provide unbreakable connectivity solutions, greater value from AI and IoT investments and better business outcomes. EPIC iO is a software-focused technology company that uses AIoT solutions to help businesses be safer, smarter and more connected. DeepInsights™, our open AI platform, allows public and private sector organizations to intelligently extract, generate, and analyze IoT data. This real-time data offers high-value, actionable insights from a single source. We simplify IoT connectivity network solutions to connect IoT point including video, sensors and routers. We solve the greatest challenge of IoT: ubiquitous bandwidth.

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

Alibaba Cloud Image Search is an intelligent search service that allows users to find similar images. The product is based on machine learning and deeplearning and allows end-users upload a photo or a screenshot to search for desired products and fulfill other requests.

It is flexible and scalable and can handle all retail needs, from seamless shopping to back-office analytics to optimize profitability and productivity. AiFi allows you to create unique shopping experiences for your customers through hybrid shopping. The hybrid solution allows customers to shop with a cashier, or have a contactless, hassle-free shopping experience using our computer vision technology. Every time, display the correct price at the right place. When you modify your pricing or planogram, digital labels update instantly. Are you familiar with a complex system for Inventory Management? Amazing! Our systems can be synchronized using a variety of APIs. Computer vision technology that identifies products customers pick up, puts back, and uses a smaller number of cameras than other solutions.

The Intel®, Deep Learning SDK is a collection of tools that allows data scientists and software developers alike to create, train, and then deploy deep learning solutions. The SDK includes a training tool as well as a deployment tool. These tools can be used together or separately to create a complete deep-learning workflow. You can easily prepare training data, design models, train models with automated experiments, advanced visualizations, and conduct experiments. It is easy to install and use popular deep learning frameworks that are optimized for Intel®. You can easily prepare training data, design models, train models with automated experiments, advanced visualizations, and prepare training data. It makes it easier to install and use popular deep learning frameworks that are optimized for Intel®. The web interface features an easy-to-use wizard for creating deep learning models. There are also tooltips to help you navigate the process.

viAct, an AI company that focuses on ESG, provides "Scenario based Vision Intelligence" solutions for the AEC industry in Asia, Europe and the Middle East. Since its inception in 2016, viAct has successfully deployed hundreds of its proprietary AI algorithms. They provide extremely detailed insights into job sites and transform vision into practical actions. The 30+ pre-built AI modules allow stakeholders to reduce accidents, optimize costs, and track environmental non-compliances. viAct is a 2020 Top 50 Global ConTech Startup. Its disruptive AI navigation solution makes it easier than humans to manage man-made environments.

The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality, and impact of data science at scale. Domino is open and flexible, empowering professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Self-Service Infrastructure Portal makes data science teams become more productive with easy access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming and tedious DevOps tasks, data scientists can focus on the tasks at hand. The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle. The System of Record has a powerful reproducibility engine, search and knowledge management, and integrated project management. Teams can easily find, reuse, reproduce, and build on any data science work to amplify innovation.

Exafunction optimizes deep learning inference workloads, up to a 10% improvement in resource utilization and cost. Instead of worrying about cluster management and fine-tuning performance, focus on building your deep-learning application. Poor utilization of GPU hardware is a common problem in deep learning applications. Exafunction allows any GPU code to be moved to remote resources. This includes spot instances. Your core logic is still an inexpensive CPU instance. Exafunction has been proven to be effective in large-scale autonomous vehicle simulation. These workloads require complex custom models, high numerical reproducibility, and thousands of GPUs simultaneously. Exafunction supports models of major deep learning frameworks. Versioning models and dependencies, such as custom operators, allows you to be certain you are getting the correct results.

NVIDIA DeepLearning GPU Training System (DIGITS), puts deep learning in the hands of data scientists and engineers. DIGITS is a fast and accurate way to train deep neural networks (DNNs), for image classification, segmentation, and object detection tasks. DIGITS makes it easy to manage data, train neural networks on multi-GPU platforms, monitor performance with advanced visualizations and select the best model from the results browser for deployment. DIGITS is interactive, so data scientists can concentrate on designing and training networks and not programming and debugging. TensorFlow allows you to interactively train models and TensorBoard lets you visualize the model architecture. Integrate custom plugs to import special data formats, such as DICOM, used in medical imaging.

The most complex AI, ML, Deep Learning models can be trained. With just a few clicks, you can scale from a single machine up to a whole fleet of VMs. Lambda Cloud makes it easy to scale up or start your Deep Learning project. You can get started quickly, save compute costs, and scale up to hundreds of GPUs. Every VM is pre-installed with the most recent version of Lambda Stack. This includes major deep learning frameworks as well as CUDA®. drivers. You can access the cloud dashboard to instantly access a Jupyter Notebook development environment on each machine. You can connect directly via the Web Terminal or use SSH directly using one of your SSH keys. Lambda can make significant savings by building scaled compute infrastructure to meet the needs of deep learning researchers. Cloud computing allows you to be flexible and save money, even when your workloads increase rapidly.

Metacoder makes data processing faster and more efficient. Metacoder provides data analysts with the flexibility and tools they need to make data analysis easier. Metacoder automates data preparation steps like cleaning, reducing the time it takes to inspect your data before you can get up and running. It is a good company when compared to other companies. Metacoder is cheaper than similar companies and our management is actively developing based upon our valued customers' feedback. Metacoder is primarily used to support predictive analytics professionals in their work. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We make it easy to manage the machine learning pipeline and help organizations share their work. Soon, we will offer code-free solutions for image, audio and video as well as biomedical data.

Automaton AI's Automaton AI's DNN model and training data management tool, ADVIT, allows you to create, manage, and maintain high-quality models and training data in one place. Automated optimization of data and preparation for each stage of the computer vision pipeline. Automate data labeling and streamline data pipelines in house Automate the management of structured and unstructured video/image/text data and perform automated functions to refine your data before each step in the deep learning pipeline. You can train your own model with accurate data labeling and quality assurance. DNN training requires hyperparameter tuning such as batch size, learning rate, and so on. To improve accuracy, optimize and transfer the learning from trained models. After training, the model can be put into production. ADVIT also does model versioning. Run-time can track model development and accuracy parameters. A pre-trained DNN model can be used to increase the accuracy of your model for auto-labeling.

The hybrid front-end seamlessly switches between Gluon eager symbolic mode and Gluon imperative mode, providing flexibility and speed. The dual parameter server and Horovod support enable scaleable distributed training and performance optimization for research and production. Deep integration into Python, support for Scala and Julia, Clojure and Java, C++ and R. MXNet is supported by a wide range of tools and libraries that allow for use-cases in NLP, computer vision, time series, and other areas. Apache MXNet is an Apache Software Foundation (ASF) initiative currently incubating. It is sponsored by the Apache Incubator. All accepted projects must be incubated until further review determines that infrastructure, communications, decision-making, and decision-making processes have stabilized in a way consistent with other successful ASF projects. Join the MXNet scientific network to share, learn, and receive answers to your questions.

The ABEJA platform, an innovative AI platform, consists of cutting-edge AI technologies such as IoT and Big Data. The 2013 data circulation was 4.4 zettabytes. By 2020, the data circulation will be 44 zettabytes. How can we gather and use the diverse data sets? How can we extract new value from the data? ABEJA Platform, the world's most advanced AI platform technology allows for the use of all types of data and tackles technological problems that will only get more complex and serious in the future. Deep Learning is used to provide high-level image analysis functions. Advanced decentralized processing speeds up large-scale data processing. Deep Learning and Machine Learning are used to analyze accumulated data. API allows you to easily output analysis results at any system.

AI is at your disposal to predict the success of your images or visual campaigns. People are exposed to a lot of information and images today. Brands must make a mark to stand out. It is not enough to increase investment in offline and online advertising. Before launching visual campaigns, it is important to test their effectiveness. Image Memorability will tell you which images are more memorable and powerful. Neosperience Image Memoryability is the tool that will make your brand and product images stand out. Neosperience Image Memorability is a proprietary deep learning model that combines quantitative analysis with qualitative analysis to assess the effectiveness of images for a specific audience segment. In just seconds, you can get quantitative data to objectively assess the memorability of your images and their impact. Find out what areas of the image are most popular and memorable.

AWS Inferentia Accelerators are designed by AWS for high performance and low cost for deep learning (DL), inference applications. The first-generation AWS Inferentia accelerator powers Amazon Elastic Compute Cloud, Amazon EC2 Inf1 instances. These instances deliver up to 2.3x more throughput and up 70% lower cost per input than comparable GPU-based Amazon EC2 instances. Inf1 instances have been adopted by many customers including Snap, Sprinklr and Money Forward. They have seen the performance and cost savings. The first-generation Inferentia features 8 GB of DDR4 memory per accelerator, as well as a large amount on-chip memory. Inferentia2 has 32 GB of HBM2e, which increases the total memory by 4x and memory bandwidth 10x more than Inferentia.