Gaming Industry or say Video games are a big business in 2022 – and that’s been the case for quite some time now. In fact, the gaming industry has been growing at an exponential rate over the past 10 years – with 2022 sales reaching around $188 billion USD! That’s not to say that there hasn’t been an incredible amount of disruption during this time period, with video game publishers like Zynga and EA dominating their respective markets. So, how will AI continue to impact the gaming industry? Below, we discuss the top 5 ways AI is transforming the gaming industry today.
Natural Language Processing: The Core of the Gaming Industry
As companies like Google, Facebook, and Amazon continue to invest in machine learning and artificial intelligence, advancements have been made in Natural Language Processing (NLP), or programs that can interpret text with human-like capabilities. Take Apple’s Siri as an example; you are able to speak a question into your phone which Siri then interprets. From there it will perform a search through sources such as Google News to find possible answers before delivering a response back to you. The technology has grown so sophisticated that many people have stopped using smartphones altogether because they no longer need to use apps or navigate screens—they simply speak out loud and Siri takes care of everything else for them.
Computer Vision
The ability of computers to interpret visual images and surroundings has huge implications for gaming. It’s already a key ingredient in technologies that help gamers see enemies or other players through walls, even when they don’t want to be seen. It can also be used for things like monitoring a player’s heart rate or calories burned during gameplay. The recent rise in popularity of Twitch streamers who get paid to play live, watch viewers playing and comment on their performance has made all these new features possible. As the viewer count continues to increase and streaming becomes more lucrative, we expect computer vision will begin to play an even larger role in game development moving forward.
Neural Networks
The use of artificial neural networks has been a part of video gaming for some time now. In simple terms, artificial neural networks are computer system that mimics how neurons fire and communicate in our brains to give us intelligence. These systems can now be used to do things like process images and respond to them by making predictions about what will happen next. For example, it may be able to predict where you want your character’s gun to aim or where on-screen an enemy will appear after reading body language or eye movement input from a joystick. This technology is already being implemented into many types of games, but as computing power increases, developers will find new ways to create entirely new experiences with artificial intelligence at its core.
Machine Learning
Artificial intelligence is a game-changer in so many ways. It has brought us technologies that no one could have imagined before such as self-driving cars, virtual assistants, and robots to assist surgeons during operations. But how exactly will AI impact our world? In a recent report, Google predicted that by 2030, computers would be able to process language as well as human beings and drive a car better than we can. The gaming industry is set for yet another transformation with artificial intelligence taking over games by offering increasingly interactive and immersive experiences where you take center stage. Here’s how games are transforming using artificial intelligence
Deep Learning
This refers to a family of algorithms that are able to learn specific tasks by analyzing massive amounts of data, rather than through human programming. This helps solve some major problems in gaming because games require a more dynamic user experience. That’s where artificial intelligence comes in. It can be used to design more challenging levels, update game rules and even build new video games from scratch. Deep learning is making it easier for developers to customize their own games, understand their users better and respond appropriately. For example, deep learning could allow game publishers to see how players react to certain features and make changes as needed before rolling out future updates or new games.
Reinforcement Learning
DeepMind, a subsidiary of Alphabet Inc. developed an artificial intelligence (AI) agent that can play Atari games. However, unlike most previous reinforcement learning systems, which rely on an external rewards function to evaluate their actions at each step along a policy, AlphaGo learned entirely from self-play with only the guidance of game rules. This resulted in programs that are more complex than previously created agents and capable of undertaking novel behaviors where other agents would fail. To make it stronger, DeepMind has now set AlphaGo up against itself in multi-day matches against different versions of its software using a specialized search algorithm called Monte Carlo tree search to replicate human intuition and inventiveness.