Three-letter DNA “words” can decide whether a yeast cell cranks out a medicine efficiently or sputters along. The words are ...

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

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful ...

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...

Why was a new multilingual encoder needed? XLM-RoBERTa (XLM-R) has dominated multilingual NLP for more than 5 years, an unusually long reign in AI research. While encoder-only models like BERT and ...

This repository provides a step-by-step implementation of the Transformer architecture from scratch using PyTorch. The Transformer model, introduced in the seminal paper "Attention is All You Need," ...

I've been transcoding videos on handbrake using AV1 which I think is the latest encoder. AV1 on the Mac is often incredibly efficient. I'm talking 3gb -> 300mb efficient. Even tougher material with ...

Whether it's tools for your garden or for cleaning your home, there's probably something in the DeWalt portfolio with your name on it. Apart from having a slew of tools made in the USA, it also offers ...

Abstract: Wind power has emerged as a vital renewable energy source. However, its inherent temporal variability and non-stationarity pose significant challenges for accurate forecasting. To solve this ...