Jean Salvi D
AI| ML | Engineering
Kigali, Rwanda
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Jean Salvi is an AI and Software engineer who is interested in how learning, thinking, understanding, and reasoning happen. And how to get it to happen on computers. Aside from work, Salvi leads the Tensorflow User group Kigali which helps AI buddies to advance their knowledge of TensorFlow and related technologies, discussing best practices, use cases, and applications. He is also Leading Omdena Kigali which is a community to help bring together the AI community with impact-driven organizations to educate, innovate, and deploy AI solutions. In his free time, Salvi loves listening to podcasts and watching documentaries.
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Beyond Neural Nets: Unlocking AI's Potential with Search, Optimization, and Planning Algorithms
In the rapidly evolving landscape of artificial intelligence, the spotlight often shines brightest on neural networks and machine learning, overshadowing a rich array of alternative AI methodologies that are both powerful and accessible. This talk aims to shine a light on the unsung heroes of AI - search algorithms, optimization techniques, and planning strategies - that have been driving innovation quietly but effectively across various domains.
We will delve into the core principles of these methods, showcasing how they offer viable, cost-effective solutions for individuals and companies operating on a tight budget. By exploring real-world applications and success stories, we will demonstrate how these algorithms can solve complex problems, enhance decision-making, and optimize processes without the heavy computational and financial costs associated with building and training sophisticated models.
Attendees will leave with a deeper understanding of the diverse toolkit that AI offers beyond the realms of machine learning and neural networks. We aim to empower participants with knowledge and inspire them to leverage these accessible, yet potent, AI methodologies to tackle their unique challenges, fostering innovation in environments where resources are scarce but ambitions are limitless. Join us as we explore the untapped potential of AI, opening doors to new possibilities for all, regardless of their resource limitations.
Build mini TensorFlow-like library from scratch
Breaking down some fundamentals of differentiable graphs, A building block of the Tensorflow library.
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