Let's face it, casino gaming is a huge business. It brings more than $500 billion in revenues every year from all around the world and the rise of the internet has fuelled its growth further. Today, online casino games has reached several people across all age groups through popular fantasy games. But with its growth comes another issue: the need to draw the line before excessive casino gaming becomes a problem, or as we like to call it, 'irresponsible gaming'. Being a part of the industry, there's no way we can shy away from addressing this issue.
"At systems technology, we develop dynamic simulations of our processes. These simulations can be used in the same way as a game where we define what is a win and what is a loss. In the case of self-learning algorithms – so-called deep learning or reinforcement learning – the challenge is the great quantity of data necessary for the algorithm to learn enough about the system for it to make effective decisions. "This is why games are such a major area within AI research. Games are well suited to enable algorithms to train themselves, and what constitutes a successful result – a win – is also well defined," explains Johannes.
I play most of my games the same way I read a good paperback: Curled up on the couch or in bed. I mean, where else can we go right now? I'm usually glued to my Nintendo Switch or laptop; they're great for everyday gaming. But sometimes I get a craving for something a little more immersive, a gaming experience with razor-sharp graphics and a buttery-smooth refresh rate. That's where a desktop comes in handy.
While maneuvering a controller, keeping an eye out for enemies, and sitting for hours, your body is in fight-or-flight mode. While you're catching up on Assassin's Creed or streaming play-by-play footage, you might not be seated properly. Whether you play for leisure or stream full-time, a gaming chair can help you perform your best and stay comfortable. One size doesn't fit all when it comes to gaming chairs. There are ergonomic-style chairs and chairs with additional cozy fixings, such as foot rests.
Machine Learning is guiding Artificial Intelligence capabilities. Image Classification, Recommendation Systems, and AI in Gaming, are popular uses of Machine Learning capabilities in our everyday lives. How can we better understand Supervised, Unsupervised, and Reinforcement Learning? Let's start with Supervised Learning, which makes up most of the uses for Machine Learning today. In Supervised Learning, the machine already knows the output of the algorithm before it starts working on it.