PhD Program at EPFL: EDIC Overview and Opportunities

Related lectures (24)

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Covers state space models and the expressivity of transformers in sequence copying tasks.

Explains the basic concepts of computer science and their interaction.

Covers the Master programs at EPFL, including curriculum, courses, projects, and internships.

Covers the binary system, basic concepts, sequences, loops, branching logic, variables, and algorithm translation.

Covers control flow in Python, focusing on conditional statements and loops.

Explores building OS for heterogeneous hardware, data movement efficiency, AI advancements, and NLP challenges.

Explores neural interfaces, merging Engineering, Neuroscience, and Computer Science.

Introduces programming basics, focusing on variables, assignments, and conditional statements.

Concludes the first week, focusing on computer science fundamentals for upcoming chapters.

Covers the basics of algorithms in computer science, including their formalization and complexity.