Displaying 83 resources

Multiple Drone Communications

This lecture overviews various concepts related to multiple drone communications: LTE and WiFi communications, LTE communication infrastructure, IP network issues, Security analysis, throughput, latency and quality-of-service issues.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Domain Adaptation

This lecture overviews Domain Adaptation that has many applications in DNN training and adaptation.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Neural Image Compression

This lecture overviews Neural Image Compression that has many applications in image storage and communications.
Category
Data for AI
Source
AI-OnDemand

Recurrent Neural Networks. LSTMs

This lecture overviews Recurrent Neural Networks and Long Short-Term Memory (LSTM) networks that have many applications in signal and video analysis. It covers the following topics in detail: Neural Networks for Sequence Analysis.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Deep Reinforcement Learning

This lecture overviews Deep Reinforcement Learning that has many applications in, e.g., Game playing agents, Self-driving vehicles, Robotics (Robot cleaners) and Stock exchange agents.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Federated Learning

This lecture overviews  that has many applications in distributed Machine Learning and privacy protection.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Experience Driven Content Generation

Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design.
Category
Data for AI
Source
AI-OnDemand

Probabilistic Logics to Neuro-Symbolic Artificial Intelligence

A central challenge to contemporary AI is to integrate learning and reasoning.
Category
Data for AI
Source
AI-OnDemand

Geometric Spaces

This lecture overviews Geometric Spaces that has many applications in Machine Learning and Digital Signal Processing and Analysis. It covers the following topics in detail: Vector Spaces, Affine Spaces, Metric Spaces.
Category
Data for AI
Source
AI-OnDemand

State – Space Equations

This lecture overviews State –Space Equations that has many applications in digital filters, systems theory and deep learning.
Category
Data for AI
Source
AI-OnDemand

Multilayer perceptron. Backpropagation

This lecture covers the basic concepts and architectures of Multi-Layer Perceptron (MLP), Activation functions, and Universal Approximation Theorem.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand