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Artificial Intelligence (AI) Business Directory – Adaptive Toolbox

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AI Business Directory is a list of key companies (including startups and big corporations) worldwide with products, services, and applications in the fields related to the Artificial Intelligence (AI). A registered user can submit a listing and maintain it for your own business. The listing service is free. Typical AI fields include, but not limited to: Machine Learning (ML), Deep Learning, Cognitive Computing, Natural Language Processing (NLP), Computer Vision, Pattern Recognition, Autonomous Agents and Multi-Agent Systems, Automated Planning and Scheduling, Robotics, Predictive Analytics, etc. Typical AI applications include, but not limited to: Smart Agriculture, Healthcare, Manufacturing, Smart Cities, Smart Grids, Smart Mobility, Smart Lighting, Smart Buildings, Smart Home, Autonomous Vehicles, Supply Chain and Logistics, Cybersecurity, etc.


What Are The Applications of Image Annotation in Machine Learning and AI?

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At the time of developing the AI models through machine learning (ML) first and most important thing you need, relevant training data sets, which can only help the algorithms understand the scenario through new data or seeing the objects and predict when used in real-life making various tasks autonomous. In the visual perception based AI model, you need images, containing the objects that we see in our real life. And to make the object of interest recognizable to such models the images need to be annotated with the right techniques. And image annotation is the process, used to create such annotated images. The applications of image annotation in machine learning and AI is substantial in terms of model success.


How to Improve Computer Vision in AI Drones Using Image Annotation Services?

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The Autonomous flying drone uses the computer vision technology to hover in the air avoiding the objects to keep moving on the right path. Apart from security surveillance and Ariel view monitoring, AI drone is now used by online retail giant Amazon to deliver the products at customer's doorstep revolutionizing the transportation and delivery system by logistics and supply chain companies. Cogito and AWS SageMaker Ground Truth have partnered to accelerate your training data pipeline. We are organising a webinar to help you "Build High-Quality Training Data for Computer Vision and NLP Applications". After registering, you will receive a confirmation email containing information about joining the webinar.


How to Annotate Images for Deep Learning?

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Deep learning is a subset of machine learning (ML) which is a sub discipline of artificial intelligence (AI). Deep learning is used to carry out more crucial tasks without being explicitly programmed to do so. Actually, in deep learning neural networks are used to analyze data and extract relevant patterns of information from them. And the neural networks are divided into three different mechanisms an input layer, a hidden layer, and an output layer. And when many small networks are joined together into layers, a deep neural network is created.


Machine Learning Training Data Annotation Types for AI in News & Media

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AI in media making this industry operate with more automated tasks for better efficiency in the market. Using the computer vision or NLP/NLU, AI in news media makes the objects and languages recognition system possible for machines. Cogito provides the training data sets for AI in media and news to develop the visual perception based AI model or language based machine learning models. Media industry can well-utilize the power of face recognition system to detect the various types of faces captured into the images or videos while reporting or covering the important topics around the world. The landmark annotation technique is used to detect or recognize such faces through AI.