@davpoole.bsky.social
AI Educator, researcher, author. Professor Emeritus in CS at University of British Columbia. One of the founders of Statistical Relational AI. https://www.cs.ubc.ca/~poole/
Reposted
The "Real World" is unfair. It is biased. And when it comes to estimating treatment effects, the "Big Data" can't fix a bias that's baked into how the data are collected (I would say "design", but there is usually no design involved). So pardon me if I prefer boring old "Useful Evidence".
January 14, 2025 at 5:48 AM
The "Real World" is unfair. It is biased. And when it comes to estimating treatment effects, the "Big Data" can't fix a bias that's baked into how the data are collected (I would say "design", but there is usually no design involved). So pardon me if I prefer boring old "Useful Evidence".
For a textbook introduction to agentic AI see our recent Cambridge University Press AI textbook. We are much less bullish about LLMs and don't use the term "agentic". artint.info
Artificial Intelligence: Foundations of Computational Agents
artint.info
December 30, 2024 at 6:15 PM
For a textbook introduction to agentic AI see our recent Cambridge University Press AI textbook. We are much less bullish about LLMs and don't use the term "agentic". artint.info
2) how frustrated student (university) researchers are. In discussions at poster sessions, many said they couldn't attempt to answer scientific questions because they couldn't afford the compute time. This is a problem for the future of the field, and is one way big-data AI will hit a wall.
December 16, 2024 at 4:33 AM
2) how frustrated student (university) researchers are. In discussions at poster sessions, many said they couldn't attempt to answer scientific questions because they couldn't afford the compute time. This is a problem for the future of the field, and is one way big-data AI will hit a wall.
2/ decision networks, MDPs, reinforcement learning, multiagent systems, logic programming, knowledge graphs, relational learning. A release candidate for version 1.0, so comments please! Based on our AI textbook artint.info See aipython.org @davpoole.bsky.social and @alanmackworth.bsky.social
Artificial Intelligence: Foundations of Computational Agents
artint.info
December 10, 2024 at 3:24 AM
2/ decision networks, MDPs, reinforcement learning, multiagent systems, logic programming, knowledge graphs, relational learning. A release candidate for version 1.0, so comments please! Based on our AI textbook artint.info See aipython.org @davpoole.bsky.social and @alanmackworth.bsky.social