Engineering in the Age of AI: Innovations and Challenges

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Covers engineering multi-scale systems for health, security, energy, and the environment, focusing on taking innovation from labs to daily life.

Machine Learning and Modern AI: SWOT Analysis

Covers a SWOT analysis of Machine Learning and Artificial Intelligence, exploring strengths, weaknesses, opportunities, and threats in the field.

Data Science Engineering: A Cognitive Science Perspective

Delves into the importance of understanding thought processes in data science tasks.

Concrete: Material Properties and Future Implications

Covers the properties of concrete, its applications, and the importance of sustainable practices for future generations.

Concrete: Material Properties and Future Implications

Covers the properties of concrete, its applications, and the importance of sustainable practices for future generations.

Computational Science and Engineering: Master Program Overview

Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.

Data Science: Python for Engineers - Part II

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

Bioelectronics Emerging: Neuroprostheses & Biosensors

Explores bioelectronics, focusing on neuroprostheses and biosensors for medical applications.

Neuroscience and Machine Learning: Understanding Visual Intelligence

Explores the relationship between neuroscience and machine learning in visual intelligence.

Concrete: Material Properties and Future Implications

Covers the properties of concrete, its applications, and the importance of sustainable practices in construction.