This paper delves into the critical role of social media in debates surrounding polarization, misinformation, and the state of democracy worldwide. It specifically examines the ranking algorithms that determine how content is presented to users on social media platforms.
Computational Politics refers to the application of Information Technologies (IT), including Data Analytics, Artificial Intelligence (AI), and Systems Theory (Cybernetics) in the realm of politics and Political Science. It’s an emerging and somewhat loosely defined field that intersects Political Science and Computer Science and Engineering. This lecture provides an overview of Computational Politics, encompassing various… Continue reading e-Symposium 2023: AI and Computational Politics
This lecture overviews Neural Image Compression that has many applications in image storage and communications. It covers the following topics in detail: Image Compression Types, Image Compression Evaluation, Transform Image Compression, Neural Predictive Image Coding, Neural Image Autoencoding, CNN-Transformer Image Compression, RNN Image Compression, Variable Rate RNN Image Compression.
This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography. It covers the following topics in detail: Inverse Filters, Wiener Filters, Wavelet Restoration, Blind Deconvolution, Color Image Restoration, Neural Image Restoration, De-Fogging and De-Raining.
This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography. It covers the following topics in detail: Inverse Filters, Wiener Filters, Wavelet Restoration, Blind Deconvolution, Color Image Restoration, Neural Image Restoration, De-Fogging and De-Raining.
This lecture overviews High-Dynamic Range Imaging that has many applications in digital photography. It covers the following topics in detail: HDRI Software Requirements, HDRI Terminology, Two Early HDR Implementations, First Modern HDR Implementation, HDR Methods: CRF based, SNR based, Variance based, NN based HDRI.