Wei Li, Intel's vice president and general manager of AI and analytics, says he's on a mission to make AI more accessible to developers. Intel, the world's largest manufacturer of CPUs and semiconductors, is well known for its chips, though it has struggled to stay at the top of the chip market. But hardware isn't Intel's only focus, according to Li. His team, the AI software group, is dedicated to bringing low-code/no-code AI software to the masses. One of the ways Li said Intel hopes to make AI more accessible is with AI reference kits, which include a chatbot and a document analyzer.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Intel is on an artificial intelligence (AI) mission that it considers very, very possible. The company is the world's largest semiconductor chip manufacturer by revenue, and is best known for its CPU market dominance, with its familiar "Intel inside" campaign -- reminding us all what resided inside our personal computers. However, in an age when AI chips are all the rage, the company finds itself chasing competitors, most notably Nvidia, which has a massive head start in AI processing with its GPUs.

Intel has this week announced the release of its first set of open source artificial intelligence reference kits specifically designed to make AI more accessible to organizations in on-prem, cloud and edge environments. The AI reference kits include AI model code, end-to-end machine learning pipeline instructions, libraries and Intel oneAPI components for cross-architecture performance. The Intel Open Source AI reference kits are now available to download for free from the official Intel website and are also available via GitHub. "Innovation thrives in an open, democratized environment. The Intel accelerated open AI software ecosystem including optimized popular frameworks and Intel's AI tools are built on the foundation of an open, standards-based, unified oneAPI programming model. These reference kits, built with components of Intel's end-to-end AI software portfolio, will enable millions of developers and data scientists to introduce AI quickly and easily into their applications or boost their existing intelligent solutions."