Deep Learning with Yacine on MSN

Understanding Caesar cipher in Python — encode and decode text easily

Curious how the Caesar Cipher works? This Python tutorial breaks it down in a simple, beginner-friendly way. Learn how to ...
GitHub

Should colons in paths skip url-encoding?

URLs are by definition *URL encoded*. To create a proper URL from a set of components that may not be URL encoded already, you cannot just URL encode the entire URL string with curl_easy_escape(3), ...
The Verge

UiPath CEO Daniel Dines on AI agents replacing our jobs

After some time away, the head of UiPath is placing a big bet on agentic AI being the future of automation. After some time away, the head of UiPath is placing a big bet on agentic AI being the future ...
IEEE

UHD Video Encoding in CPU Versus GPU: Quality and Performance Trade-Offs

Abstract: In the contemporary digital media environment, video encoding is of paramount importance for applications such as streaming and video conferencing. With the increasing demand for higher ...
New Scientist

AI can decode digital data stored in DNA in minutes instead of days

Artificial intelligence can read data stored in DNA strands within 10 minutes rather than the days required for previous methods, bringing DNA storage closer to practical use in computing. “DNA can ...
IEEE

EDADet: Encoder–Decoder Domain Augmented Alignment Detector for Tiny Objects in Remote Sensing Images

Abstract: In recent years, deep learning has shown great potential in object detection applications, but it is still difficult to accurately detect tiny objects with an area proportion of less than 1% ...
Slator

A Primer on Decoder-Only vs Encoder-Decoder Models for AI Translation

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...
marktechpost

How Does the Tensor Brain Use Embeddings and Embodiment to Encode Senses and Decode Symbols?

In the significantly advancing fields of neuroscience and Artificial Intelligence (AI), the goal of comprehending and modeling human cognition has resulted in the creation of sophisticated models that ...
marktechpost

Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures

CNNs are specialized deep neural networks for processing data with a grid-like topology, such as images. A CNN automatically detects the important features without any human supervision. They are ...