Stream: AI
Time: 12:15 - 13:00
Even though artificial intelligence (AI) seems to be everywhere these days, it is limited in what it can do to what it has been trained to do – which can be a little (like reading medical scans) or a lot (like ChatGPT or Gemini). What an AI can’t do, yet, is what any child under three does all the time – and that’s be motivated to seek out new information and create it’s own model of the world. It can’t predict what is likely to happen next in a given situation.
Looking at how the human brain is constructed – in particular the cerebral cortex – gives us the perfect model for how to build an AI using repeating building blocks of neurons in, what are called, cortical columns. The more cortical columns that are used, the more intelligent the AI becomes – along with more of the abilities to seek out new information and test how things work. It no longer needs hours of reinforcement or supervised learning. It becomes a self-directing learning and predictive machine. It is no longer restricted to being intelligent within certain areas. It is a truly artificial generalized intelligence (AGI).
The session will look at current uses of artificial intelligence, how the human brain is structured to allow humans to have generalized intelligence, and how this could be applied to create an artificial generalized intelligence.
A popular speaker and blogger, Trevor Eddolls is CEO of iTech-Ed Ltd, an IT consultancy firm. Trevor founded and, until 2023, chaired the Virtual IMS, Virtual CICS, and Virtual Db2 user groups. He was editorial director for the Arcati Mainframe Yearbook, and for many years before that edited Xephon’s Update publications. Trevor has an extensive 40-year background in mainframes and IT, and has been recognized as an IBM Champion from 2009 to 2024 for his leadership and contributions to the Information Management community. He's written numerous technical articles and published three mainframe-related books.
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