Science, Technology & the Future | Monica Anderson - The Red Pill of Machine Learning @scfu | Uploaded June 2022 | Updated October 2024, 1 minute ago.
Synopsis: The new cognitive capabilities in our machines were the result of a shift in the way we think about problem solving. The shift is the most significant change in AI, ever, if not in science as a whole. Machine Learning based systems are now successfully attacking both simple and complex problems using these novel Methods.
We are experiencing a revolution at the level of Epistemology which will affect much more than just the field of Machine Learning. We want to add more of these new Methods to our standard problem solving toolkit, but we need to understand the tradeoffs.
Bio: Monica Anderson, MSCS, is an independent AI and ML researcher and founder of Syntience Inc.
Her work has focused on the Epistemology of AI but all her theory is based on her experiences of design and implementation of (Human Language) Understanding Machines based on Deep Discrete Neuron Networks since Jan 1, 2001.
She can adopt a Holistic or Reductionist stance as needed, and wants to teach others how to switch. Her current projects include creating a social medium where chat messages are routed by an Understanding Machine. She has been awarded a handful of patents in this field.
She is an ex-Googler, has facilitated 100+ Bay Area AI meetup sessions over 5 years, and plays keyboards and Bridge.
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Kind regards,
Adam Ford
- Science, Technology & the Future - #SciFuture - scifuture.org
Synopsis: The new cognitive capabilities in our machines were the result of a shift in the way we think about problem solving. The shift is the most significant change in AI, ever, if not in science as a whole. Machine Learning based systems are now successfully attacking both simple and complex problems using these novel Methods.
We are experiencing a revolution at the level of Epistemology which will affect much more than just the field of Machine Learning. We want to add more of these new Methods to our standard problem solving toolkit, but we need to understand the tradeoffs.
Bio: Monica Anderson, MSCS, is an independent AI and ML researcher and founder of Syntience Inc.
Her work has focused on the Epistemology of AI but all her theory is based on her experiences of design and implementation of (Human Language) Understanding Machines based on Deep Discrete Neuron Networks since Jan 1, 2001.
She can adopt a Holistic or Reductionist stance as needed, and wants to teach others how to switch. Her current projects include creating a social medium where chat messages are routed by an Understanding Machine. She has been awarded a handful of patents in this field.
She is an ex-Googler, has facilitated 100+ Bay Area AI meetup sessions over 5 years, and plays keyboards and Bridge.
Many thanks for tuning in!
Have any ideas about people to interview? Want to be notified about future events? Any comments about the STF series?
Please fill out this form: docs.google.com/forms/d/1mr9PIfq2ZYlQsXRIn5BcLH2onbiSI7g79mOH_AFCdIk
Consider supporting SciFuture by:
a) Subscribing to the SciFuture YouTube channel: youtube.com/subscription_center?add_user=TheRationalFuture
b) Donating
- Bitcoin: 1BxusYmpynJsH4i8681aBuw9ZTxbKoUi22
- Ethereum: 0xd46a6e88c4fe179d04464caf42626d0c9cab1c6b
- Patreon: patreon.com/scifuture
c) Sharing the media SciFuture creates
Kind regards,
Adam Ford
- Science, Technology & the Future - #SciFuture - scifuture.org
