Re-engineering the computer to solve impossible math problems with AI accelerators

There are math problems that are hard. So hard that even current computers cannot solve them. To get around these problems, we need to re-think the very foundation of how we architect our IT, by using a technological field called 'novel accelerators'.It sounds complicated, but today's guest is particularly skilled at explaining incredibly complicated concepts. He says: "Right now, Generative AI and accelerators are at the forefront of being able to help with these major advances, and the world could change in really significant ways. Medicine, materials, energy, information technology... to harness these systems to help us - not to replace us." Joining us today is Ray Beausoleil, a physicist, senior fellow and senior vice president at HPE. He leads the large scale integrated photonics lab at Hewlett Packard Labs. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: Ray Beausoleil: https://www.linkedin.com/in/ray-beausoleil-22b148a/ Sources and statistics cited in this episode: Bloomberg report into AI growth: https://www.bloomberg.com/company/press/generative-ai-to-become-a-1-3-trillion-market-by-2032-research-finds/ Fusion and mayonnaise: https://engineering.lehigh.edu/news/article/lehigh-university-researchers-dig-deeper-stability-challenges-nuclear-fusion-mayonnaise