About ai workshops
About ai workshops
Blog Article
We stimulate participation from researchers in a very wide selection of subject areas Checking out AI/ML tactics to detect novel patterns and anomalies inside facts and boost scientific discovery. Investigate inquiries may well contain (but will not be limited to): How can we automate the discovery of recent scientific phenomena?
The generative AI landscape is quick evolving and it could be challenging to know wherever to start out, which business enterprise troubles to technique initially, And exactly how to do that. Knowledge how generative AI could be used is vital to unlocking its transformational electrical power across organisations.
The workshop aims to foster collaboration and useful insights into improving upon web agent technologies, specializing in agentic workflows, scalability, and dependability for organization applications.
We foresee an viewers of roughly three hundred participants, such as scientists and field representatives enthusiastic about AI4Research. A major obstacle Within this interdisciplinary field is that AI developers and experts in other disciplines typically function by themselves challenges.
This workshop will discover the function of information in AI basic safety, with a particular emphasis on details-centric AI ways as well as their present limitations through the AI lifecycle.
Now we have properly created Generative AI and ML methods nearshore for our buyers making use of large language types and equipment Studying frameworks because 2016.
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The attendance is predicted primarily from your AI and robotics Group. Nevertheless, researchers and practitioners whose investigation could possibly apply to cooperative MAS determination-earning and Finding out or who could possibly be capable of use Individuals tactics inside their investigation are welcome.
This event will produce a unifying venue involving stakeholders to help you realize serious world issues and advance possible methods.
The Synthetic Intelligence with Causal Systems (AICT) workshop aims to debate modern developments in causal methodology, like novel causal discovery and causal inference approaches, along with solutions for downstream causal tasks for example causal illustration Studying, causal reinforcement Mastering, causal fairness, etc. We may even examine how these advances inside the causal Neighborhood can lead to diverse subfields of AI including recommender programs, pure language processing, computer eyesight, etcetera.
Our workshops cater to both equally inexperienced persons and Highly developed users, ensuring that each participant gains important, actionable knowledge.
Two types click here of papers are welcomed: Investigate papers (as much as 4 webpages in AAAI structure, excluding references). Papers by now acknowledged at top ML and AI conferences in the last year.