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.
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.
The world needs robots that make life better, not just ones that put people out of work. But business attitudes, government policy, and scientific priorities are geared toward replacing workers rather than complementing and enhancing their skills. That's the bottom line of a report by a task force at MIT that was released today. "It's super easy to make a business case for reducing head count. You can always light up a boardroom" by promising to replace people with robots, says David Autor, an MIT economist and co-chair of the task force, who gave an interview about the report.
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.
A German court has fined and banned a Tesla owner from driving for one month after a crash that happened while the driver was using the car's built-in touchscreen dashboard to adjust windshield-wiper settings. Surprisingly, this case didn't involve Tesla's Autopilot system, which was activated in multiple crashes in the US and has drawn sharp criticism from the US National Transportation Safety Board. As reported by German tech site Golem, a regional court judge in Germany decided that the Tesla S's touchscreen user interface for controlling the intervals of the windshield wiper required too much attention from the driver. It therefore found him in breach of road-traffic regulations designed to stop people being distracted by their phones while driving. The decision, made in the Karlsruhe district court, involved a non-fatal crash in heavy rain on a federal highway.
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.
As the Internet of Things continues to permeate more areas of modern life, we've begun to see the rise of the "smart city." These urban areas leverage IoT technology like sensors and beacons to collect data and better manage a city's resources, services and operations. This ultimately makes a city safer and can improve the quality of life for residents. Because this smart city technology is virtually invisible to those who aren't operating it, many outside of the tech industry may not realize the full impact IoT can have on urban life. Below, 14 experts from Forbes Technology Council explain some of the current and upcoming tech innovations that are changing the way cities function.
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.
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.
Young people increasingly live in a world transformed by artificial intelligence and those who understand and leverage it will live richer and more fulfilling lives. This article provides a framework and an interactive experiment for teachers and parents to begin having a conversation about ethical AI. You can learn more by clicking on any of the links for additional context and information. Ethical AI is composed of two words, ethical and AI. Ethics means the moral principles that govern the behavior and actions of a group or individual.