Special AI Meetup on Gating in AI

IBM Ecosystem DACH

This will be a special AI Meetup with a focus topic and outside of the usual series. The topic of the event will be Gating.

IBM Deutschland GmbH

This will be a special AI Meetup with a focus topic and outside of the usual series. The topic of the event will be Gating. Gating is a new AI technology designed to replace deep learning and is invented by Danko Nikolic.Gating promises several advantages over deep learning:<ol><li>Learning from small amounts of data</li><li>Small sizes of models (better scaling)</li><li>Accumulation and expansion of knowledge; learn new knowledge without forgetting old knowledge.</li></ol>More information on Gating: www.gating.aiWe are very thankful for IBM to host this event at their premises in Tower One, Frankfurt.Here is a tentative schedule of the event:18.00 - 18.15 Arrival and networking 18.15 - 18.20 Welcome 18.20 - 18.40 Lab Opener - Adding Generative AI to Software Products - Alexander Lang 18.40 - 19.20 Introduction of the Gating technology - Danko 19.20 - 19.50 Food &amp; Drinks/ Networking 19.50 - 20.10 Business aspects of the Gating technology - Danko 20.10 -20.30 Q&A From 20.30 Open end networking (21.30 official end)To join online, use this Teams link: <a href="https://teams.microsoft.com/l/meetup-join/19%3ameeting_NGMwOTQ2ZWYtOWMxMC00YzI4LWIxYTItOTlhMTU5MzlmNmQ1%40thread.v2/0?context=%7b%22Tid%22%3a%22fcf67057-50c9-4ad4-98f3-ffca64add9e9%22%2c%22Oid%22%3a%222ffdc213-f68a-4e99-8e21-288fc63bc7b9%22%7d" title="https://teams.microsoft.com/l/meetup-join/19%3ameeting_NGMwOTQ2ZWYtOWMxMC00YzI4LWIxYTItOTlhMTU5MzlmNmQ1%40thread.v2/0?context=%7b%22Tid%22%3a%22fcf67057-50c9-4ad4-98f3-ffca64add9e9%22%2c%22Oid%22%3a%222ffdc213-f68a-4e99-8e21-288fc63bc7b9%22%7d" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://teams.microsoft.com/l/meetup-join/19%3ameeting_NGMwOTQ2ZWYtOWMxMC00YzI4LWIxYTItOTlhMTU5MzlmNmQ1%40thread.v2/0?context=%7b%22Tid%22%3a%22fcf67057-50c9-4ad4-98f3-ffca64add9e9%22%2c%22Oid%22%3a%222ffdc213-f68a-4e99-8e21-288fc63bc7b9%22%7d</a>