Today at the Frankfurt motor show, one of the biggest and most prestigious motor shows in the world, Sheryl Sandberg, COO of Facebook, spoke before German Chancellor Angela Merkel. Now what is Facebook and most importantly, Sheryl Sandberg doing at an automotive industry event? The obvious answer that comes to mind when one relates Facebook and the car industry is the billions of advertising dollars the industry spends on marketing and advertising. However, that does not seem to be Facebook's game plan, as highlighted by Sheryl and shown at their pavilion. Facebook seems to have a strategy of leveraging its capabilities in social marketing, AR & VR and interestingly, who would have thought of it, leveraging its advanced AI and deep learning capabilities to support the development of autonomous vehicles.
DeepFakes are created by a deep learning technique known as Generative Adversarial Networks (GANs), where two machine learning models are used to make the counterfeits more believable. By studying the images and videos of a person, in the form of training data, the first model creates a video, while the second model attempts to detect its flaws. These two models work hand-in-hand until they create a video that is believable. DeepFake opens up a whole new world when it comes to unsupervised learning, which is a sub-field of machine learning where machines can learn to teach themselves, and it has been argued to hold great promise when it comes to self-driving vehicles' to detect and recognize obstacles on the road and virtual assistants such as Siri, Cortana and Alexa learning to be more conversational. The real question is, what potential does it have of being misused, like any other technology.
Machine Learning is no longer just a buzzword, it is all around us: from protecting your email, to automatically tagging friends in pictures, to predicting what movies you like. Computer vision is one of today's most exciting application fields of Machine Learning, with Deep Learning driving innovative systems such as self-driving cars and Google's DeepMind. OpenCV lies at the intersection of these topics, providing a comprehensive open-source library for classic as well as state-of-the-art computer vision and Machine Learning algorithms. In combination with Python Anaconda, you will have access to all the open-source computing libraries you could possibly ask for. Machine Learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression.
Amy from x.ai Melody Medical Bot from Baidu Travel, Shopping and Customer Service Bots: Claire, Clara, Julie, Ann, Messenger Bot from Kayak, KLM, Expedia … 10. Machine Learning – Need to mitigate Business concerns 1 • Data without biases • Transfer tribal Knowledge to Data • Compliances • Social nuances • Voice to Speech challenges IoTDisruptions.com Amy from x.ai Melody Medical Bot from Baidu Travel, Shopping and Customer Service Bots: Claire, Clara, Julie, Ann, Messenger Bot from Kayak, KLM, Expedia …