ELEC-E7261 - Ambient Intelligence D, Lecture, 11.1.2023-5.4.2023
This course space end date is set to 05.04.2023 Search Courses: ELEC-E7261
Topic outline
-
This lecture promotes understanding of good practices for Ambient Intelligence, including data collection, training, machine learning with noisy and inaccurate data.
In particular, we focus on feature extraction/ feature subset selection, handling high dimensional data, ANN + Deep Learning, Probabilistic graphical models, Topic models; as well as Unsupervised learning and clustering, Anomaly detection and Recommender systems.
The lecture has a modular structure and is project-based and foster hands-on experience with machine learning approaches on relevant data sets.
Lecture Schedule (T6 & zoom):Friday, 13.01.2023, 14:15 - Organization: slides; topics; non-edited video (https://www.dropbox.com/s/tcyf8qovhwrxylf/AmbientIntelligence2023-00.mp4?dl=0)Wednesday, 18.01.2023, 14:15 - Introduction: slides; non-edited video (https://www.dropbox.com/s/gm2xcfyb7px3v7l/AmI_2023-01.mp4?dl=0)Friday, 20.01.2023, 14:15 - Group allocationWednesday, 25.01.2023, 14:15 - Data collection and Training: slides; non-edited video (https://www.dropbox.com/s/v43f5m6omf0xupo/AmI_2023-02.mp4?dl=0)Friday, 27.01.2023, 14:15 - Tutorial training (Martin - Diffusion models)Wednesday, 01.02.2023, 14:15 - Usable Security - Fuzzy Cryptography: slides; non-edited video (https://www.dropbox.com/s/j43pxnqlplemgqf/AmI_2023-03.mp4?dl=0)Friday, 03.02.2023, 14:15 - No lectureWednesday, 08.02.2023, 14:15 - Sensing with mmWave radar devices: slides; non-edited video (https://www.dropbox.com/s/d7rix3x0ek1n7am/AmI_2023-04.mp4?dl=0)Friday, 10.02.2023, 14:15 - Tutorial training (Martin - Diffusion models; Andrei - GPT-3.5; Behzad - Neural Architecture Search)Wednesday, 15.02.2023, 14:15 - No lectureFriday, 17.02.2023, 14:15 - Tutorial training (Behzad - Neural Architecture Search)Wednesday, 01.03.2023, 14:15 - Machine learning: slidesFriday, 03.03.2023, 14:15 - Tutorial training (GPT - 3.5 - Andrei)Wednesday, 08.03.2023, 14:15 - Invited talk (Bosch Sensortec)Friday, 10.03.2023, 14:15 - Tutorial training (Lingyun - Probabilistic Machine Learning / Jelin - Machine learning models for constrained hardware)Wednesday, 15.03.2023, 14:15 - No lectureFriday, 17.03.2023, 14:15 - Tutorial training (Jelin - Machine learning models for constrained hardware)Wednesday, 22.03.2023, 14:15 - Tutorial (Diffusion Models / Neural Architecture Search)Friday, 24.03.2023, 14:15 - Tutorial (GPT / Probabilistic Machine learning / Machine learning models for constrained hardware)Modules can be selected in any combination. Credits are granted according to the completion of modules.Wednesday, 29.03.2023, 14:15 - Invited talk (Nokia Bell-labs)Friday, 31.03.2023, 14:15 - Poster presentationsTutorial topics (tbc):- Neural Architecture search (Behzad Mahboob)
- Creativity in AI
- Capsule networks
- GPT-3.5
- Diffusion models
- Semantic communication
- Contrastive learning
Modules:
- Video lectures (0 cr): Video lectures are provided for some topics to further the learning of the topic.
- Lectures (1 cr): Physical attendance and active participation in at least 10 contact teaching sessions
- Tutorials (2cr, graded): Preparation, training and presentation in front of the class of an in-depth tutorial on a specialized theme
- Projects (4cr, graded): Guided Project work in teams of students on a research or industry-relevant topic/data. Video-status reports throughout the project duration and final presentation in form of a poster.
- Oral exam (1cr, graded): Individual technical discussion (20 minutes) on the topics taught in the class
The lecture will feature invited lectures given by international experts from industry and academia.-
View Make a choice
- Neural Architecture search (Behzad Mahboob)