- #Crunch meaning game industry update#
- #Crunch meaning game industry software#
- #Crunch meaning game industry code#
On the other hand, once the model is done cooking it can be much smaller and less demanding when it’s being used, a process called inference. The reason for this is that not only are the networks complex, but datasets can be extremely large: billions of words or images that must be analyzed and given representation in the giant statistical model. This training process is the most computation-intensive part, meaning it takes weeks or months (you can kind of go as long as you want) on huge banks of high-powered computers. In doing so, these giant networks create a statistical representation of that data. To create an AI model, the neural networks making up the base of the system are exposed to a bunch of information in what’s called a dataset or corpus. And these depend on how the model is trained. Models come in various sizes, meaning both how much storage space they take up and how much computational power they take to run. In AI, model can refer to a complete system like ChatGPT, or pretty much any AI or machine learning construct, whatever it does or produces. The similarity in terminology to a statistical model or a modeling system that simulates a complex natural process is not accidental.
#Crunch meaning game industry code#
The model is the actual collection of code that accepts inputs and returns outputs. As in the brain, this can create a versatile system that quickly takes an input, passes it through the network, and produces an output. At their heart they are just lots of dots and lines: the dots are data and the lines are statistical relationships between those values.
#Crunch meaning game industry software#
Recreating this amazing system in software has been attempted since the ’60s, but the processing power required wasn’t widely available until 15-20 years ago, when GPUs let digitally defined neural networks flourish. Our brains are largely made of interconnected cells called neurons, which mesh together to form complex networks that perform tasks and store information. With that said, here are the basic terms you’ll find in any discussion of AI. You might think of artificial intelligence like artificial coconut - it’s imitation intelligence. The input and output of this calculator is just a lot more flexible. There’s no one definition of intelligence out there, but what these systems do is definitely closer to calculators than brains. So if you feel lost, don’t worry - everyone is.Īnd one thing we want to make clear up front: although it’s called “artificial intelligence,” that term is a little misleading. One of the wild things about AI is that although the core concepts date back more than 50 years, few of them were familiar to even the tech-savvy before very recently. We will also be updating and expanding it as we press further into the age of AI. And last, a curated list of the recent headlines and developments that you should be aware of.īy the end of this article you’ll be about as up to date as anyone can hope to be these days.Next, an overview of the major players in AI and why they matter.First, the most fundamental concepts you need to know as well as more recently important ones.
#Crunch meaning game industry update#
Our guide to AI has three main parts, each of which we update regularly and can be read in any order: Oh, but if you’re worried about a Matrix-type rise of the machines - don’t be. And researchers are hard at work making it possible for an AI to browse the web, book tickets, tweak recipes, and more. AI has enabled effective voice and image recognition, as well as the ability to generate synthetic imagery and speech.
To begin with, let’s just make sure we’re all on the same page: what is AI?Īrtificial intelligence, also called machine learning, is a kind of software system based on neural networks, a technique that was actually pioneered decades ago but very recently has blossomed thanks to powerful new computing resources. There’s so much it can be hard to keep up - so read on to find out everything from the latest big developments to the terms and companies you need to know in order to stay current in this fast-moving field. AI is appearing in seemingly every corner of modern life, from music and media to business and productivity, even dating.
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