All AAAI attendees who are interested inside the intersection of equipment Finding out and autonomous driving are welcome.
All submissions must adhere for the AAAI formatting pointers and can go through a double-blind overview method.
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Recognize and understand the troubles in applying AI to specific science and engineering problems.
This workshop is customized for any person keen on exploring the cutting-edge developments in AI and ML, from tech pros trying to combine AI into their work, to college students and hobbyists fascinated by AI's abilities. No prior deep tech background is needed, just an enthusiasm for AI and its possible.
The workshop will go over subjects together with targeted traffic optimization, fleet administration, and smart infrastructure, bringing together experts from academia and business to discuss the newest progress and useful apps of MARL.
We aim to bridge the hole between concept-pushed cognitive science and realistic AI programs, fostering a multidisciplinary dialogue on the function of ToM in AI.
The quick advancement of AI technological know-how improves the chance of superintelligence rising before long, likely acting beyond human Regulate. In this kind of globe, humanity should seek out coexistence with superintelligence.
Conditions for invitation and highest amount of attendees. Invited speakers will be major customers within the investigate Local community with experience in the region. We strategy on possessing the speakers go over a diverse set of topics. Even further, premium quality workshop paper submissions will be invited to present a chat.
Set against the backdrop of one of India's Leading technological institutes, this workshop is tailored for people eager on navigating the complexities of AI and ML, from elementary principles to Sophisticated applications.
The Innovation & Obligation in AI-supported Schooling (iRAISE) workshop builds on very last calendar year’s good results with the AI for Education: Bridging Innovation and Duty workshop. It'll examine the prospects and worries of making use of generative AI technologies (GenAI) in instruction, fostering an knowledge of GenAI’s job in shaping the way forward for schooling and speaking about the connected ethical implications of accountable AI (RAI). Recognizing GenAI’s worries, including material hallucination, complicated reasoning, bias, and privateness fears, the function targets an interdisciplinary dialogue of these concerns for that dependable implementation of such products in education.
The internet pages include references and any appendices. More assistance within the submissions is in the Workshop Site. The evaluation method is going to be solitary blind.
By the top with the system, participants should be able to critically evaluate AI resources and technologies, looking at their reliability, accuracy, and moral implications, and make informed decisions about their adoption and use.
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