The Single Best Strategy To Use For ai workshops
The Single Best Strategy To Use For ai workshops
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This workshop aims to really encourage discussion and collaboration in between scientists inside the fields of AI scheduling and reinforcement Studying. We aim to bridge the hole among the two communities, aid the dialogue of variations and similarities in existing strategies, and stimulate collaboration through the fields.
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Papers will be peer-reviewed under a double-blind coverage and have to be submitted on the net in the OpenReview submission technique.
By the top of the workshop, attendees can have made a comprehensive idea of AI and ML's capabilities and limits, Geared up with the talents to use these technologies in different domains, from tech and healthcare to finance and beyond.
All attendees have to register for your workshop. You should Examine extra particulars about AAAI 2025 workshop registration: .
We aim to bridge the hole involving principle-driven cognitive science and realistic AI programs, fostering a multidisciplinary dialogue to the purpose of ToM in AI.
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We welcome submissions from scientists working on similar matters including neural program synthesis, application induction, and strategy Understanding.
Solution: Our AI Adoption workshops enable you to evaluate probable initiatives, align them with strategic objectives, and Examine feasibility—ensuring you invest in initiatives with the highest influence and return.
We want to Specific our sincere gratitude to our complex method committee for generously volunteering their time and expertise to evaluate submissions for our workshop.
In nowadays’s swiftly evolving technological landscape, staying forward signifies consistently maximizing your techniques and click here awareness. AIUK’s workshops are designed to equip experts in any respect amounts With all the vital equipment and insights needed to harness the power of artificial intelligence proficiently.
Who it’s for: IT leaders, professionals, and operations groups trying to find to integrate AI into existing procedures.
Expressivity of tensor representations which include exponential decrease bounds of matrix ranks and circuit dimensions and sample complexity of learned representations;