Date 13 July 2023 - 10 am EST / 3pm BST Untrack

Meeting minutes (<a class="user-mention notranslate" data-hovercard-type="user" data-h

13 July 2023 - Emerging Technologies Meeting Agenda about zenith HOT 21 CLOSED

finos commented on May 30, 2024

13 July 2023 - Emerging Technologies Meeting Agenda

from zenith.

Comments (21)

padraignix commented on May 30, 2024 7

Meeting minutes (@vbandi this time with 100% more AI!)

00:39 - Peter Smulovics (he/him, MS): Welcomes everyone. Good evening. One or 2 more minutes for people to join.
03:17 - Julia Ritter: Julia Ritter kicks off the meeting with meeting notices about project guidelines, codes of conduct, industry participation, antitrust policies, and the recording of meetings.
04:50 - Peter Smulovics (he/him, MS): Peter Smulovics requests attendees to visit the Github link for attendance.
05:03 - Keith J. O'Donnell: Keith introduces the agenda and skips the Poc program part.
05:34 - Keith J. O'Donnell: Keith provides updates on blogs, videos, upcoming events, and introduces new team members Carly Richmond, Leonardo Mordasini, and Polina Levyant.
09:02 - Keith J. O'Donnell: Keith discusses AI, weak AI, strong AI, artificial general intelligence (AGI), and superintelligence. He then delves into the history of AI, including the Turing test and adversarial programs.
14:50 - Keith J. O'Donnell: Keith mentions the XCD and adversarial programs playing checkers in the 1950s.
15:50 - Keith J. O'Donnell: mentions the clever development of the first instance of Alpha beta through a serial network, laying the groundwork for future AI applications.
16:26 - Keith J. O'Donnell: discusses the emergence of the term "artificial intelligence" and how people attempted to cheat homework using intelligent programs.
17:00 - Keith J. O'Donnell: talks about the development of algorithms in applied mathematics and provides a quick break.
16:16 - Keith J. O'Donnell: introduces an algorithm and challenges the audience to figure out its meaning.
16:16 - Keith J. O'Donnell: confirms that the algorithm proves one plus one equals two and explains its significance in training algorithms for problem-solving.
17:00 - Keith J. O'Donnell: describes the development of perception and the first single-layer neural network by Frank Rosenblatt.
17:00 - Keith J. O'Donnell: mentions the development of chatbots, industrial robots, and advancements in natural language processing in the 1960s.
18:00 - Keith J. O'Donnell: highlights the significance of Dendr and its impact on organic chemistry and drug development.
18:00 - Keith J. O'Donnell: discusses the first general-purpose robot, Shaky, and its ability to reason and make decisions.
18:00 - Keith J. O'Donnell: talks about the development of backpropagation and its impact on deep learning.
18:00 - Keith J. O'Donnell: mentions the progress made in the 1970s and Marvin Minsky's role in speech recognition.
19:00 - Keith J. O'Donnell: introduces the Stanford car, the first autonomous vehicle, and its navigation capabilities.
19:00 - Keith J. O'Donnell: talks about advancements in robotics, including music-reading robots and self-driving cars in the 1980s.
19:00 - Keith J. O'Donnell: mentions the portrayal of technology in movies and its impact on public perception.
20:00 - Keith J. O'Donnell: discusses the development of long short-term memory (LSTM) and its applications in handwriting and speech recognition.
20:00 - Keith J. O'Donnell: recounts the game between Gary Kasparov and Deep Blue, showcasing computers' ability to play complex games.
20:00 - Keith J. O'Donnell: describes the Furby as a simulation of artificial intelligence and its impact on familiarizing people with machine learning concepts.
20:00 - Keith J. O'Donnell: moves into the 21st century, highlighting the advancements in robots working in hospitality and self-driving cars.
21:00 - Keith J. O'Donnell: mentions the triumph of AlphaGo and its ability to defeat human players in the game of Go.
21:00 - Keith J. O'Donnell: provides an overview of the current landscape of AI development tools and discusses their applications in finance and insurance.
21:00 - Keith J. O'Donnell: mentions the plans to create primers focusing on commercialization, ethics, and security vulnerabilities.
22:00 - Keith J. O'Donnell: talks about the importance of collaboration and use within the open-source community.
22:00 - Keith J. O'Donnell: discusses technology readiness levels and their relevance in assessing the maturity of AI technologies.
23:00 - Keith J. O'Donnell: introduces the concept of technology readiness scale and its different stages.
24:00 - Keith J. O'Donnell: explains the purpose of technology readiness levels in evaluating the maturity of AI technologies.
25:00 - Keith J. O'Donnell: discusses specific technology readiness levels for different AI disciplines and identifies potential blockers.
26:00 - Keith J. O'Donnell: highlights the importance of model validation, monitoring, and machine learning deployment platforms.
26:00 - Keith J. O'Donnell: talks about the importance of resource optimization and the need for specific hardware and operating systems.
27:00 - Keith J. O'Donnell: discusses computer vision and natural language processing, emphasizing the need for common frameworks and standards.
28:00 - Keith J. O'Donnell: addresses the intersection of quantum computing and AI and mentions the Venn diagram overlap of emerging technologies.
28:00 - Keith J. O'Donnell: responds to a comment about missing aspects in the primer related to use cases, training, and data sources.
29:00 - Keith J. O'Donnell: encourages discussion and comments from the participants.
29:00 - Keith J. O'Donnell: opens the floor for any further comments or questions.
29:26 - Velvárt András: mentions the entire process of developing an AI and raises questions about key participants in the industry and the need for compute power.
29:32 - Velvárt András: asks about copyright and licensing considerations for the primer and its readiness.
30:02 - Keith J. O'Donnell: proposes creating a series of videos to address the mentioned topics and adds them to the list of things to include in the primer.
30:30 - Nick Williams: suggests including a primer section on definitions of terms and discusses the importance of providing content that doesn't require watching videos.
31:03 - Keith J. O'Donnell: acknowledges the vastness of the field and agrees to include governance and regulatory aspects in the primer.
31:29 - Keith J. O'Donnell: thanks Michael Wilson for his contribution and discusses the value propositions that will be included in the primer.
34:48 - Nick Williams: suggests adding a primer section on governance and regulations in the financial sector for using AI.
35:54 - Keith J. O'Donnell: mentions including security vulnerabilities, fair use, and licenses in the primer and highlights the need for governance considerations.
36:05 - Keith J. O'Donnell: invites participants to raise any questions or contribute to the discussion.
36:11 - Keith J. O'Donnell: presents the core blockers identified for experimentation, including AI chipsets, neural networks, and generative adversarial networks.
38:18 - Keith J. O'Donnell: discusses the need to understand the needs of industries and establish a common data language and synthetic data rule set.
39:07 - Keith J. O'Donnell: mentions the importance of working with regulators, audit and risk professionals, and addressing data quality and observability.
39:26 - Keith J. O'Donnell: highlights the need for experiment tracking and addressing technical debt in AI-specific tasks and platforms.
39:37 - Keith J. O'Donnell: emphasizes the mathematical modeling of drifting bias and the importance of avoiding PR disasters like the "Tay to Twitter" incident.
40:04 - Keith J. O'Donnell: introduces the goal of creating a machine learning application in a box for micro deployment and experimentation on various platforms.
40:13 - Keith J. O'Donnell: discusses the customization of out-of-the-box machine learning kits for specific purposes, such as micro-training a natural language processing system for analyzing financial contracts.
40:24 - Keith J. O'Donnell: highlights the importance of customizing machine learning models and modules for specific purposes and use cases.
40:43 - Keith J. O'Donnell: emphasizes the need for technologists within the fintech industry to improve efficiency and optimization in their applications.
41:12 - Keith J. O'Donnell: mentions the importance of computer vision and its industrial maturity for diverse use cases.
41:58 - Keith J. O'Donnell: discusses the significance of natural language processing and its potential for increasing industrial collaboration.
42:13 - Keith J. O'Donnell: invites the community to contribute thoughts, ideas, and suggestions for the Zenith project.
42:39 - Nick Williams: raises a question about the security and veracity of data used in machine learning models.
43:10 - Keith J. O'Donnell: acknowledges the importance of data security and welcomes feedback from the community.
43:14 - Keith J. O'Donnell: suggests making iterative updates to the primer based on community input and requirements.
45:00 - Keith J. O'Donnell: provides information on accessing the mailing list for updates and publications related to Zenith.
46:05 - Keith J. O'Donnell: announces the focus of the next deep dive session on commercialization and enterprise readiness.
46:44 - Keith J. O'Donnell: encourages community members to contribute to the ongoing development and refinement of the primer.
47:25 - Keith J. O'Donnell: opens the floor for any additional discussion or topics from the community.
51:32 - Velvárt András: inquires about getting started with the primer and suggests collaborative document creation.
52:41 - Keith J. O'Donnell: acknowledges the need to get the primer document up and running and plans for further discussions on specific topics.
53:21 - Keith J. O'Donnell: expresses the goal of enhancing accessibility solutions through computer vision and collaboration.
53:59 - Keith J. O'Donnell: invites community input, ideas, and suggestions for the primer and Zenith project.
54:09 - Nick Williams: raises concerns about the security aspect of data used for financial advice and suggests addressing it in the primer.
54:36 - Keith J. O'Donnell: acknowledges the importance of data security and encourages feedback and suggestions from the community.
56:19 - Keith J. O'Donnell: emphasizes the iterative nature of the primer and welcomes community involvement and additions.