ai workshops - An Overview
ai workshops - An Overview
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We invite the participation of researchers who are interested in specifically addressing Concept of Thoughts in AI. We are also expecting submissions to ToM4AI and linked topics suitable to coming up with, creating, demonstrating, or evaluating ToM-primarily based AI agents.
. Each workshop is meant to be interactive and fascinating. Our pro trainers convey serious-world knowledge towards the table, ensuring that participants obtain functional insights that could be specifically applied in their perform.
This workshop aims to offer a comprehensive comprehension of AI governance principles, frameworks, and most effective tactics to empower individuals in navigating the ethical, lawful, and societal Proportions of AI.
Relevant techniques: deep Discovering; reinforcement Understanding; inductive logic programming; classical preparing; heuristic research; and neuro-symbolic approaches.
The workshop’s attendees are keynote speakers, authors whose papers are approved, and scientists and industrial practitioners who can go to adhering to AAAI’s connected plan. The expected amount of attendees is about 55.
We purpose to bridge the gap concerning principle-pushed cognitive science and practical AI apps, fostering a multidisciplinary dialogue over the role of ToM in AI.
Evaluation of those qualities is complicated, not significantly less because of the insufficient benchmarks that can easily certify the extent of security of a provided AI method.
In the event you’re All set to rework your company with AI, e-book an AIUK Workshop now to check out firsthand how AI can unlock new possibilities for the crew and drive your enterprise ahead.
The Consortium will progress new measurement science – enabling the identification of demonstrated, scalable, and interoperable tactics and metrics.
All works that relate to collision-no cost path planning or navigation for several brokers are welcome, like although not limited to:
The Synthetic Intelligence with Causal Technologies (AICT) workshop aims to debate recent more info advancements in causal methodology, such as novel causal discovery and causal inference procedures, as well as strategies for downstream causal jobs like causal illustration Understanding, causal reinforcement Discovering, causal fairness, and so on. We can even take a look at how these innovations in the causal community can add to distinctive subfields of AI like recommender methods, organic language processing, Laptop vision, etc.
Individuals who have been acknowledged to existing papers and posters are invited to go to. Also, anyone thinking about AI, Finance and Social good are welcome to go to.
Each paper and poster submissions will be peer-reviewed. Papers is often acknowledged for presentation as a chat and a poster or only being a poster.