Computer scientists to interview

Sweden-born US citizen polyglot Artificial Intelligence (AI) researcher and Entrepreneur researching Large Language Models (LLMs) since 2001. ------- Inventor of Organic Learning based SSMs (Small Syntax Models) which are > 1 million times faster at learning languages than Transformer based LLMs with minor loss in precision. They do not even need a GPU, and can learn a useful amount of any language on the planet in five minutes on a laptop. These systems are aimed at high speed high volume industrial classification use cases, where GPT would be overkill and prohibitively expensive. UM1 (Understanding Machine One) is available in the cloud for testing purposes. Code on GitHub, details in blog. ---------- In Epistemology, I attempt to explain to AI researchers and others why and how 21st Century AI is totally different from 20th Century AI. This educational effort has been ongoing since I worked at Google in 2006. See Chapter 7 on blog.

I am a computer science student at North Dakota State University, pursuing an accelerated master's degree. I am well-versed in the latest AI tools and technologies that are being used by students across all levels of education. My understanding of the field of AI has prepared me to adapt and evolve with the latest advancements in the field. I have gained valuable experience by speaking at schools about AI and helping them with cybersecurity, which has given me a strong understanding of the technology needs and capabilities of schools across the country. Eager to use my skills and knowledge, I am determined to make a meaningful impact in the field of computer science and artificial intelligence.