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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 ...

AI model delivers detailed 15-day Mediterranean Sea predictions in seconds

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

AI model learns yeast DNA 'language' to boost protein drug output

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 ...
CNX Software

Black Sesame Technologies Wudang C1200 “cross-domain” automotive SoCs feature up to 10x Cortex-A78AE cores

I found two interesting automotive SoCs in the Linux 6.19 changelog: Renesas R-Car X5H 16-/32-core Cortex-A720AE SoC and ...
EDN

Gray codes: Fundamentals and practical insights

Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...
IEEE

An Encoder–Decoder Model Based on Spiking Neural Networks for Address Event Representation Object Recognition

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 ...
GitHub

Evaluation of encoder and decoder models on SuperGLUE

I want to evaluate models like ModernBERT, Llama and many others on SuperGLUE and my own benchmark. In my setting, every model has to be fine-tuned for the specific task, even decoder models. Is this ...