Ryzen AI Software is now widely available, empowering developers to build and deploy AI applications efficiently, and locally. With a growing pre-trained model zoo on Hugging Face and an easy single click installation process, developers can get started building their applications within minutes.

AMD is excited to kick off the Pervasive AI Developer Contest; a competition designed to spark innovation amongst AI developers.  Showcase your creativity and technical expertise on chosen AMD platforms and participate in one of three categories: Generative AI, Robotics AI, and PC AI.

One of the most immediately impactful applications of AI in the enterprise happens to be one of the first skills I personally wanted to develop – writing and editing. I took journalism and copywriting classes, relished exams in essay form, and learned copyediting marks. Today, as a marketer and communicator at one of the few companies in the world that can power AI in the enterprise from the data center to the PC, I find myself strongly advocating for team members to incorporate AI in their editing, business communications, and copy writing.

I’m excited to share that today, AMD has completed the acquisition of Nod.ai - further expanding our open-source AI software capabilities. We are thrilled to welcome Nod.ai’s talented team of AI software experts to the AMD Artificial Intelligence Group (AIG).   

Right now, the tech world is awash in discussion of AI. Huge data center chips with terabytes of bandwidth and multi-thousand-dollar price tags share the space with diminutive Internet of Things products designed for ultra-low power processing. The news cycle serves up an endless discussion of artificial intelligence, but many of these discussions don't explain the difference between platforms and capabilities. It's all well and good to say AMD has built an "integrated AI engine," but what does that actually mean and why should you care? What's the advantage to you?

The launch of Ryzen AI was a first for x86 processors and an investment in the future of computing, but why integrate an AI engine in the first place?

AI is one of the most transformative technologies to debut in the past 40 years, but taking full advantage of its capabilities requires more than just the latest processor or graphics card. Previous major shifts in computing, like the adoption of 64-bit software and the introduction of 3D-accelerated graphics in the late 1990s, required significant software support as well as sophisticated new hardware capabilities. Today, AMD and Microsoft are stepping up to this challenge, working together to create the building blocks developers and consumers will need to take full advantage of AI both today and in the future.

Any attempt to predict the future of mobile PC computing must first grapple with how much things have changed in just the past few years. The market AMD faces in 2023 is substantially different compared to just three years ago. The pandemic and associated increase in working from home drove enormous growth in laptop sales. PC sales soared.   

In this article, mobile processor marketing manager Donny Woligroski explores how AI can be used to dramatically increase video quality, how machine learning trains AI to do a better job, and how AMD mobile processors are faster than the competition when using Video Enhance AI software from Topaz Labs.