Imagine you speak in front of a microphone, and your sound will be transformed into text! Imagine you talk to a chatbot, and the chatbot wants to answer your question. To create a powerful generative model, the machine must always understand data, whether in a supervised or unsupervised way. The generative model needs first to understand the data and then create a robust understanding called data representation in the AI world. There are tons of generative models out there.

This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions. The course will start with an introduction to the fundamentals of machine learning, followed by an in-depth discussion of the application of these techniques to portfolio management decisions, including the design of more robust factor models, the construction of portfolios with improved diversification benefits, and the implementation of more efficient risk management models. We have designed a 3-step learning process: first, we will introduce a meaningful investment problem and see how this problem can be addressed using statistical techniques.

Learning is a critical skill in software development. Engineers have to learn new technologies, master existing ones, and get familiar with APIs and codebases. It is crucial to have a proper strategy for skill acquisition and overall professional development. There is a high chance of getting stuck at the same level or wasting a lot of time on things that do not matter much. The Dreyfus brothers looked at highly skilled professionals, including airline pilots, chess players, and military commanders.

Good afternoon, proud graduates of the University of Machine Learning class of … In retrospect, it was a bad day for Artificial Intelligence.

Dr. Peter Metrakos is a Greek doctor working on improving survival rates of cancer patients by using breakthrough artificial intelligence.

PReLU is an activation function that is frequently used in InsightFace. It has two operating modes: PReLU(1) and PReLU(channels). For the latter, PReLU is equivalent to a binary broadcast operation. In this article, we are going to talk about optimizing the broadcast operations in CUDA. PReLU is an activation function that is frequently used in InsightFace. InsightFace adopts the second mode of PReLU.

Mobile artificial intelligence is disrupting the already breakneck-paced mobile app development game. In 2020, the mobile AI sector reached a valuation of 2.14 billion dollars, and that number is expected to grow 4.5x by the year 2026. It's safe to say that mobile artificial intelligence is here to stay, so let's find out how this innovative technology is used in mobile app development. Mobile artificial intelligence aims at making mobile technology smarter and more functional for users. A well-known example of the power of mobile AI is Amazon's Alexa Shopping product, which has freed up countless hours of customer support grunt work for Amazon.

Communities are a natural phenomenon critical to the human psyche and general well-being -- and society is the outcome of relationships formed through communities and communication. Like any Earthly organism, we as humans cannot survive without interacting with our environment (Lee et al., 2011). But, in the past 10–15 years, social media and other emerging technology have changed the way people communicate. From text-to-speech devices for those who are non-speaking to online groups dedicated to a specific topic, human contact and communication are forever changed. The impacts of these changes reach far beyond just the way we communicate but the pace at which information is shared.

It's a scenario movies and sci-fi stories have predicted for years: an intelligent fleet of human-serving AI robots become too smart and take over the world. This common storyline has some people worried it will come to real-world fruition -- thanks to technological developments in artificial intelligence and robotics. For many others, though, applying intelligence to robotics is all about furthering innovation. And innovation there has been. Robotics dates back to 1898, when Nikola Tesla used radio waves to remotely direct the movement of a robot boat in a miniature man-made pond during an electrical exhibition at Madison Square Garden in New York. That experiment led to Tesla becoming the father of robotics.

People have always grouped themselves based on the mutual enjoyment of certain activities and hobbies. Look hard enough and you'll find a community centered around just about anything. Specific games or sports, music genres, automobiles, travel -- the list is endless. As technology advances, we find a similar dynamic unfolding online. Online communities across social media have now become prevalent.