Intelligence artificielle 

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Optimisation logistique

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Theme: Practical AI

Generative AI has rapidly emerged as one of the most transformative technologies of our time, taking us by storm and redefining the possibilities of what machines can create, automate, and improve. Today, the world is brimming with intelligent agents that not only enhance our productivity but also streamline complex processes and generate high-quality outcomes across diverse industries and domains.

These agents, ranging from goal-based systems to adaptive learning agents, virtual assistants, and autonomous decision-makers, demonstrate the vast potential of Generative AI. Whether it's generating realistic images, composing music, writing code, or even assisting in scientific research, the impact of these technologies is profound and far-reaching. The advancements made possible by these AI agents touch nearly every sector—creativity, technology, healthcare, finance, education, and beyond—reshaping the way we approach tasks and tackle challenges. The fluidity with which they adapt to new data and contexts makes them powerful tools for innovation and efficiency.

In this innovation challenge, we invite you to bring your creativity and technical skills to the forefront. Bring your own dataset, train and fine-tune new models, and let your imagination soar to new extremes.

While the primary focus of this program is on Generative AI, we also value the foundational contributions of Classical AI. If you have a groundbreaking idea rooted in traditional AI techniques—be it in optimization, decision-making, or machine learning—we encourage you to share your vision. After all, the synergy between Classical AI and Generative AI could unlock even greater possibilities.

Let's explore how these technologies can be harnessed to address real-world challenges and drive meaningful impact.

While looking at ideas in AI, consider the following technologies.

Generative AI Techniques Vision Robotics Speech
Open Source LLM Machine Learning Image Recognition Cognitive Systems Speech to Text
Retrieval-Augmented Generation Deep Learning Image Classification Theory of Mind Text to Speech
PEFT -LoRA & QLoRA Neural Networks Facial Recognition   Automated speech
ReAct Agents Predictive Analysis People Tracing   Bi-Directional Voice Translation


While the above talk about a few use cases of AI, we encourage students to explore any of the below or even beyond to come up with innovative proposals.

Gen AI Agents AI at work AI in Industry Other Landscapes
Goal Based Copilot Finance Education
Learning Agents Generate work related artifacts Personalized marketing Public sector
Fraud Detection Agents   Manufacturing Agriculture
Virtual Assitance   Retail Energy
    Legal Transportation