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


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.

Neural Nets Aren't Black Boxes


If you think neural nets are black boxes, you're certainly not alone. While they may not be as interpretable as something like a random forest (at least not yet), we can still understand how they process data to arrive at their predictions. In this post we'll do just that as we build our own network from scratch, starting with logistic regression. If you think neural nets are black boxes, you're certainly not alone. While they may not be as interpretable as something like a random forest (at least not yet), we can still understand how they process data to arrive at their predictions.

Flight Simulator: machine learning-fueled simulator, grows over time – IAM Network


Microsoft has just provided two new nuggets on information from Flight Simulator, which is about to make its descent onto gamers' systems on August 18 -- now, also on Steam. VIEW GALLERY – 10 IMAGES In a new update, Microsoft explained that Flight Simulator "heralds a new era of data-driven flight simulation". In the update, Microsoft continued: "One of the exciting implications of this is that the data that makes up the world is always improving, and players can look forward to a simulator that evolves over time".The post continued: "Thanks to our partnership with Bing, players will enjoy new, even better terrain, and an ever evolving, machine learning-fueled simulator that grows over time".Microsoft finished up the update on Flight Simulator, adding: "We have so much ahead for Microsoft Flight Simulator, but even on day one simmers will get highly detailed aircraft, a new checklist system, live air traffic, dynamic weather, new aerodynamic modeling, as well as all the many other features we shared in our launch date announcement, all within a beautifully crafted and rendered world. Whether you are new to flight simulation or an aviation pro, the sky is calling in Microsoft Flight Simulator".There will be 3 different …

Artificial Intelligence and Machine Learning – Path to Intelligent Automation


With evolving technologies, intelligent automation has become a top priority for many executives in 2020. Forrester predicts the industry will continue to grow from $250 million in 2016 to $12 billion in 2023. With more companies identifying and implementation the Artificial Intelligence (AI) and Machine Learning (ML), there is seen a gradual reshaping of the enterprise. Industries across the globe integrate AI and ML with businesses to enable swift changes to key processes like marketing, customer relationships and management, product development, production and distribution, quality check, order fulfilment, resource management, and much more. AI includes a wide range of technologies such as machine learning, deep learning (DL), optical character recognition (OCR), natural language processing (NLP), voice recognition, and so on, which creates intelligent automation for organizations across multiple industrial domains when combined with robotics.

Image Classification Model


Image classification is one of the most important applications of computer vision. Its applications ranges from classifying objects in self driving cars to identifying blood cells in healthcare industry, from identifying defective items in manufacturing industry to build a system that can classify persons wearing masks or not. Image Classification is used in one way or the other in all these industries. Which framework do they use? You must have read a lot about the differences between different deep learning frameworks including TensorFlow, PyTorch, Keras, and many more.

5 reasons why you need explainable AI


The scariest thing about Artificial Intelligence is that we never know who the teacher is! If you're working on a Tech Startup, AI and Machine Learning are likely parts of your roadmap (and if it's not, then it should be). Artificial Intelligence (AI) is all around us. AI is there when you search for something on the Internet. AI helps us filter spam emails.

Open compound domain adaptation


Imagine we want to train a self-driving car in New York so that we can take it all the way to Seattle without tediously driving it for over 48 hours. We hope our car can handle all kinds of environments on the trip and send us safely to the destination. We know that road conditions and views can be very different. It is intuitive to simply collect road data of this trip, let the car learn from every possible condition, and hope it becomes the perfect self-driving car for our New York to Seattle trip. It needs to understand the traffic and skyscrapers in big cities like New York and Chicago, more unpredictable weather in Seattle, mountains and forests in Montana, and all kinds of country views, farmlands, animals, etc.

Get over 50 hours of training in machine learning for under £30


TL;DR: The Machine Learning Master Class bundle is on sale for £29.85 as of August 4, saving you 91% on list price. Thanks to developing artificial intelligence technologies, computer are smarter than ever before. Along with those technologies has come a relatively new category of computer science called machine learning, or ML. Similar to statistics, ML involves computer systems that utilise algorithms to automatically learn about data, recognise patterns, and make decisions, all without outside intervention or explicit directions from human beings. In the real world, you can find it being used in smart assistants like Siri and the Amazon Echo, in online fraud detection services, in the facial recognition feature that identifies photos of you on Facebook, and more recently, in Tesla's self-driving car.

Image-scaling attacks highlight dangers of adversarial machine learning


This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. We usually don't expect the image of a teacup to turn into a cat when we zoom out. But in the world of artificial intelligence research, strange things can happen. Researchers at Germany's Technische Universität Braunschweig have shown that carefully modifying the pixel values of digital photos can turn them into a completely different image when they are downscaled. What's concerning is the implications these modifications can have for AI algorithms.

Deep Learning In Gaming


Hi All - This event was originally going to be held during GDC week back in March but had to be postponed. Excited to be hosting this event virtually during GDC Summer on Aug 4th. Games have always been at the forefront of AI & they serve as a good testing bed for AI before we put it to use in the real world. Therefore, its natural to look into gaming to peek into new techniques being discovered in AI. What started with self-learning AI in games has now translated into solving real-world problems in computer vision, natural language processing, & self-driving cars.