Morning Overview on MSN

AI model cracks yeast DNA code to turbocharge protein drug output

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to ...
IEEE

Wavelet-Based Deep Auto Encoder-Decoder (WDAED)-Based Image Compression

Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.
NewsBytes

NewsBytes Brief: NVIDIA's PersonaPlex-7B is your AI voice chat buddy

Nvidia's open-source model, PersonaPlex, is a breakthrough in voice AI that can converse like a human. It listens, responds in real-time, and even interrupts mid-sentence.
IEEE

Unsupervised Encoder–Decoder Network Under Spatial and Spectral Guidance for Hyperspectral and Multispectral Image Fusion

Abstract: Owing to the limitations of hyperspectral optical imaging, hyperspectral images (HSIs) have a dilemma between spectral and spatial resolutions. The hyperspectral and multispectral image (HSI ...
inc42

What Is Encoder-Decoder Architecture? Here’s All You Need to Know

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...
GitHub

Swift BPE Encoder/Decoder for OpenAI GPT Models. A programmatic interface for tokenizing text for OpenAI GPT API.

The GPT family of models process text using tokens, which are common sequences of characters found in text. The models understand the statistical relationships between these tokens, and excel at ...