Displaying 89 resources

Introduction to Signals and Systems

This lecture overviews Signals and Systems. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel signals come next.
Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand

Spectral Signal Analysis

This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis.
Category
Systems, methodologies, hardware, and tools, Recommendations towards policy changes
Source
AI-OnDemand

Neural Speech Recognition

This lecture overviews Neural Speech Recognition is a special case of Automatic Speech Recognition (ASR), i.e., the transcription of speech to text that has many applications e.g., in call centers, dictation, meeting minutes creation, Smart assistant
Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand

AI, System Complexity, Life, Intelligence and Environment

This lecture overviews the relation between matter and system complexity on one hand and Life, Intelligence and Environment on the other one. First the theoretical tools (systems, graph and  network theory) are overviewed.
Category
Systems, methodologies, hardware, and tools, Recommendations towards policy changes
Source
AI-OnDemand

Human-Centered AI for Autonomous Vehicles

This lecture overviews human-centric AI methods that can be utilized to facilitate visual interaction between humans and autonomous vehicles (e.g., through gestures captured by RGB cameras), in order to ensure their safe and successful cooperation in
Category
Recommendations towards policy changes
Source
AI-OnDemand

e-Symposium 2023: Tweet sentiment analysis

Sentiment analysis in texts, also known as opinion mining, is a significant Natural Language Processing (NLP) task, with many applications in automated social media monitoring, customer feedback processing, e-mail scanning, etc.
Category
Recommendations towards policy changes
Source
AI-OnDemand