Source – https://martechseries.com/ Geospatial data and analytics company Fraym announced a Series B financing to further scale their AI/ML software for mapping humanity. Fraym is the preeminent global provider of geospatial data for understanding population dynamics. Dozens of data-driven organizations like Mastercard, the World Bank, Department of Defense, and USAID rely on Fraym’s foundational data to drive Read More
Tag: Building
Source – https://towardsdatascience.com/ Estimate distance and position of solid objects using multiple low-cost ultrasound sensors. In this article we are going to build from scratch a sonar array based on the cheap and popular HC-SR04 sensor. We will use an Arduino microcontroller to drive and read the sensors and to communicate to a host computer Read More
Source – https://www.cmswire.com/ Artificial intelligence (AI) and machine learning (ML) are positioned to disrupt the way we live and work, even the way we interact and think. Machine learning is a core sub-area of AI. It makes computers get into a self-learning mode without explicit programming. At this point, most organizations are still approaching ML Read More
Source – https://www.analyticsinsight.net/ People are paranoid about Artificial Intelligence becoming self-conscious and posing a threat to humankind, but will it happen soon? The Internet has been replete with news headlines about GPT-3 writing articles, Google’s Neural Network creating eerie artwork, artificial intelligence (AI) models creating music and what not. While these may seems quite intriguing for a tech Read More
Source: pubs.rsna.org Deep learning with convolutional neural networks (CNNs) has shown tremendous success in classifying images, as we have seen with the ImageNet competition (1), which consists of millions of everyday color images, such as animals, vehicles, and natural objects. For example, recent artificial intelligence (AI) systems have achieved a top-five accuracy (correct answer within Read More
Source: forbes.com In its rush to solve all the world’s problems through deep learning, Silicon Valley is increasingly embracing the idea of AI as a universal solver that can be rapidly adapted to any problem in any domain simply by taking a stock algorithm and feeding it relevant training data. The problem with this assumption Read More