We’re not just about code, we’re about sparking creative imagination. Our hackathon encourages participants to take a look at the intersection of the newest in AI know-how and human conversation.
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Acquire Global recognition: Winners will probably be spotlighted across our platforms, make cash prizes, and current their alternatives to your globally viewers.
CDW is here to help manual companies on how to make the most of the generational change in technologies.
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This suggests it may possibly expose subtle deviations that time to your cyber-danger – even one augmented by AI, applying instruments and techniques that have not been seen right before.
The occasion gives a unique opportunity to innovate, explore new Tips and press the boundaries of know-how. It is open up to the two College and secondary/high school learners, inviting the following generation of tech pioneers to take part.
As well as, you’ll be Element of a Group of AI innovators who're pushing the boundaries of AI with Azure.
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Anyone’s invited to join the Competitiveness—from college students just beginning, to seasoned Java veterans, builders trying to find impressive options for his or her organizations and devoted followers of Payara and Jakarta EE alike.
Exactly what are you awaiting? You can start making and generating your submissions starting off April 1st until May possibly 6th on DevPost, a developer Neighborhood platform for hackathons. Winners will probably be announced to the 7 days of May well thirteenth, 2024.
Carleton’s official hackathon event provides a System that you should satisfy and connect with like-minded men and women, Trade understanding, and understand new expertise.
This Federal AI Hackathon will obstacle you to reimagine unique federal Internet websites in a way that optimizes AI and person encounter. Along with our co-sponsors, We'll provide you use of a few of the most generally utilized AI and cloud instruments to utilize on the day of your occasion. Using these resources, you'll leverage LLMs and also other systems to write code, propose enhancement expectations, and build functions that improve the trustworthiness of AI-supplied responses and guarantee an available, intuitive person working experience.