panel discussion
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From Sensors to Health Data Analysis
Talks and panel discussions around the LifeQ process of moving from the embedded engineering of sensors on edge devices to big health data analysis in the cloud.
AI UPtake: Panel discussion on collaborative research
Artificial intelligence (AI) and machine learning (ML) can facilitate new paradigms and solutions in almost every research field. Collaboration is essential to achieve tangible and concrete progress in impactful and meaningful AI and ML research, due to its transdisciplinary nature. Come and meet University of Pretoria (UP) academics that are embracing and exploring the opportunities that AI and ML offer to transcend the conventional boundaries of their disciplines. Join the discussion to debate this new frontier of opportunities and challenges that may enable you to look beyond the obvious, and discover new directions and opportunities that we may offer for tomorrow — together!
Career in Data Science Webinar
What does an executive at a South African Bank, a machine learning lead, and a CEO of an AI company have in common? They all will be on a panel talking about careers in Data Science, Machine Learning and Artificial Intelligence
Tuts, a Talk and AGI !!
A panel discussion on "What might we still require to achieve AGI?", a set of Reinforcement Learning and Computer Vision domain tuts and a talk from George Konidaris
How to turn a Machine Learning Use Case into a Successful Startup
Have a great idea involving AI? Want to launch your own business? It takes many iterations before an idea becomes a startup. Lots of coffee, heartache, and git reverts fuel these iterations. We have learned a lot from Cape AI's own incubated startup, Moonshop, Africa's first autonomous microstore. Watch the demo here: https://www.youtube.com/watch?v=odX6kxhLFC4 Attend our virtual roadshow event to hear lightning talks on creating proofs of concept, failing fast, funding models, selecting and growing a team, finding customers/clients, and building your brand. Afterwards, there will be a short break, then a panel discussion where members of the Cape AI team will answer questions from the audience.
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