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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 manufacture protein-based drugs, then rewrites gene sequences to push protein ...
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 compounds. In a new study, MIT chemical engineers have harnessed artificial ...
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 ...
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...
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," ...
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 ...
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