Binary Card Reader
Learn to create an escape room prop using ESP32 or Arduino to decode binary values from punched cards, featuring laser and LDR arrays, voltage divider circuits, and detailed code explanations.
Reinforcement Learning
Explore reinforcement learning concepts and their applications in psychology and neuroscience. Hands-on exercises demonstrate how algorithms explain animal learning and dopamine neuron firing.
Internet of Things Security Challenges and Approaches - 2016
Explore challenges and approaches for securing Internet of Things (IoT) devices, including heterogeneous environments, data gathering, and working with project sponsors to identify and resolve security issues.
Arduino Pong - Ball Movement and Collision Detection - Part 2
Learn to create Pong on Arduino, focusing on ball collision detection, movement, and game mechanics using efficient binary operations and clever algorithms.
Arduino Pong Game Development on LCD Panel - Part 9
Learn to create Pong on a 16x2 LCD panel using Arduino. Covers drawing, paddle movement, user input processing, and problem-solving techniques through live coding.
Arduino Programming Tutorial - Core C Language for Microcontrollers
Learn Arduino programming essentials: variables, loops, functions, data types, and more. Create projects, manipulate hardware, and master core C language concepts for microcontroller development.
Designing Secure IoT Products
Practical guide to IoT product security: threat modeling, PSA Certified framework, and nRF Connect SDK implementation. Covers security principles, hardware/firmware specifications, and certification process.
Solving Private Set Intersection via Cuckoo Hashing - Benny Pinkas, Bar-Ilan University, Israel
Explore private set intersection protocols, including custom and generic MPC approaches, with a focus on Cuckoo hashing for efficient computation of PSI variants in cryptography and security.
Model-Based Deep Learning with Applications to Imaging - Yonina Eldar, PhD
Explore model-based deep learning approaches for efficient, interpretable networks in signal and image processing, with applications in imaging, ultrasound, and COVID-19 detection.
Multi-Way Analysis - The Algorithm
Explore the alternating least squares algorithm for multi-way analysis, focusing on PARAFAC modeling in chemometrics. Learn about notation, potential problems, and alternative approaches.
Advanced Cisco Voice over IP and QoS
Comprehensive training on Cisco Voice over IP and QoS, covering gateway configuration, dial plans, CUCME, CUBE, gatekeepers, and QoS implementation for optimal voice network performance.
Understanding Audio Data for Deep Learning
Explore fundamental audio processing concepts for deep learning, including waveforms, pitch, Fourier transform, and MFCCs, essential for AI applications in sound analysis.
Computation in Neural Networks
Explore Multilayer Perceptrons: components, structure, and signal processing. Learn about neurons, weights, layers, and activations in neural networks for a comprehensive understanding of distributed computation.
Sample-Complexity of Estimating Convolutional and Recurrent Neural Networks
Explore sample-complexity in estimating neural networks, focusing on CNN and RNN architectures. Learn about generative models, minimax analysis, and key results through theoretical proofs and practical experiments.
Inversion of 2D Remote Sensing Data to 3D Volumetric Models Using Deep Dimensionality Exchange
Innovative deep learning approach for inverting 2D remote sensing data to 3D models, reducing computation time from months to milliseconds. Explores unique embedding strategies and model architectures for efficient volumetric space reconstruction.
How to Train Your Robot - An Introduction to Reinforcement Learning
Explore reinforcement learning for robotics, covering key concepts, workflow, and practical applications. Learn to define environments, create agents, and deploy policies to hardware platforms.
Complexity Theory III
Explore advanced complexity theory concepts, including minimal circuits, probabilistic formulas, and explicit obstructions in this in-depth theoretical computer science lecture.
Strong Average-Case Circuit Lower Bounds from Non-trivial Derandomization
Explore circuit lower bounds and derandomization, focusing on AC circuits, algorithmic methods, and pseudorandom generators. Learn about recent developments in average-case circuit analysis.
Arikan Meets Shannon - Polar Codes With Near-Optimal Convergence to Channel Capacity
Explore polar codes for efficient data transmission, examining their convergence to channel capacity and applications in binary-input discrete symmetric memoryless channels.
Audio Processing in Keras with Kapre
Learn to process audio in Keras using Kapre, exploring its advantages, features, and implementation. Discover how to embed audio transformations within deep learning models for optimized GPU-based calculations and easier deployment.
Generating Sound Digits with a Variational Autoencoder
Learn to generate audio spectrograms of sound digits using a trained Variational Autoencoder, then convert them into audio. Includes implementation, scripting, debugging, and result evaluation.