Individuals who have been acknowledged to existing papers and posters are invited to show up at. In addition, any individual serious about AI, Finance and Social excellent are welcome to go to.
Attending an AI workshop is a perfect way to stay up-to-date with the newest AI applications, platforms and program. Attendees will acquire expertise with technologies like TensorFlow, PyTorch and cloud-centered AI platforms which happen to be invaluable for implementing AI remedies in Experienced options.
This workshop aims to persuade dialogue and collaboration concerning scientists during the fields of AI setting up and reinforcement Understanding. We goal to bridge the gap between the two communities, aid the discussion of distinctions and similarities in current tactics, and inspire collaboration across the fields.
We invite submissions on get the job done in progress and experienced exploration, which includes “emphasize” papers summarizing modern outcomes from multiple papers from the authors. Desire will probably be supplied to new and ongoing work in excess of actual resubmissions of previously printed operate.
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Furthermore, deliver a notebook for using notes, concerns you should request and an open up mentality more info prepared to learn and network.
This workshop encourages submissions of revolutionary solutions to get a broad choice of time series Examination troubles. Subject areas of fascination include but aren't restricted to the subsequent:
We foresee an audience of around 300 members, which includes researchers and market Reps interested in AI4Research. A major obstacle With this interdisciplinary area is the fact AI developers and scientists in other disciplines generally perform on their own problems.
“I had been actually enthusiastic to discover how alive Airmeet seemed. The very first time I lifted my virtual hand to talk to an issue, I used to be introduced up on phase, my camera flipped on, and I used to be capable of speak with the presenters, which was the marketed-moment in my head!
AI can cause societal hurt, encouraging radicalisation and endorsing biased or skewed views. AI-created faux, but hugely reasonable content could lower community believe in in information and governing administration bodies.
We invite papers that focus on numerous aspects of mitigating misinformation created by LLMs. Topics of desire include things like (but are certainly not restricted to):
The internet pages include references and any appendices. More steerage over the submissions is for the Workshop Internet site. The overview method is going to be single blind.
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