Building Advanced OpenCV3 Projects with Python Udemy

@machinelearnbot

OpenCV is a native cross-platform C library for Computer Vision, Machine Learning, and image processing. It is increasingly being adopted for development in Python. This course features some trending applications of vision and deep learning and will help you master these techniques. You will learn how to retrieve structure from motion (sfm) and you will also see how we can build an application to capture 2D images and join them dynamically to achieve street views by capturing camera projection angles and relative image positions. You will also learn how to track your head in 3D in real-time, and perform facial recognition against a goldenset.


Has AI Gone Too Far? - Automated Inference of Criminality Using Face Images

@machinelearnbot

Has AI gone too far? This might seem like a nonsensical question to data scientists who strive every day to expand the capabilities of AI until you read the headlines created by this just released peer reviewed scientific paper: Automated Inference on Criminality Using Face Images (Xiaolin Wu, McMaster Univ. That's right, shades of The Minority Report (movie in which criminals are arrested before the crime occurs) and the 19th century studies of phrenology. These researchers claim 89.51% accuracy in making this classification on several sets of unlabeled validation images, each of about 1,500 facial images. I hope this has really taken your breath away.


Has AI Gone Too Far? - Automated Inference of Criminality Using Face Images

@machinelearnbot

Summary: This new study claims to be able to identify criminals based on their facial characteristics. Even if the data science is good has AI pushed too far into areas of societal taboos? This isn't the first time data science has been restricted in favor of social goals, but this study may be a trip wire that starts a long and difficult discussion about the role of AI. Has AI gone too far? This might seem like a nonsensical question to data scientists who strive every day to expand the capabilities of AI until you read the headlines created by this just released peer reviewed scientific paper: Automated Inference on Criminality Using Face Images (Xiaolin Wu, McMaster Univ.


Has AI Gone Too Far? - Automated Inference of Criminality Using Face Images

@machinelearnbot

Summary: This new study claims to be able to identify criminals based on their facial characteristics. Even if the data science is good has AI pushed too far into areas of societal taboos? This isn't the first time data science has been restricted in favor of social goals, but this study may be a trip wire that starts a long and difficult discussion about the role of AI. Has AI gone too far? This might seem like a nonsensical question to data scientists who strive every day to expand the capabilities of AI until you read the headlines created by this just released peer reviewed scientific paper: Automated Inference on Criminality Using Face Images (Xiaolin Wu, McMaster Univ.


Seven uses of AI and machine learning in business

#artificialintelligence

Jordi Escale, CIO of the Government of Catalonia, says that while AI plans are at currently in their early stages - and is consulting with IBM on potential projects - there are a number of ways the technology can be used for public sector firms. "We start thinking about the impact in the services in the government like traffic control and autonomous vehicles," he says. This includes real-time facial image recognition and number plate recognition for the police. "Then there is health, supporting the doctor for knowledge by tapping all of this unstructured data," he adds.