A recent study has introduced RNA-BAnG, a deep learning model designed for the creation of RNA sequences that can interact with specific proteins without the need for extensive experimental data or RNA structural information. This development marks a key advancement in generative biology, enabling machines to read, write, and interpret DNA. Concurrently, Ginkgo has launched a new RNA data generation service, providing access to datasets of thousands of RNA designs measured for stability and translation efficiency, which could enhance machine learning and artificial intelligence applications in the field. Additionally, the first commercial biological computer, integrating human brain cells with silicon hardware to form fluid neural networks, has been unveiled, signaling a new era in AI technology. This 'Wetware-as-a-Service' model represents a significant leap in synthetic biological intelligence, developed by Cortical Labs, and is now available for purchase.
This is the worlds first "Synthetic Biological Intelligence" which runs on living human cells developed by @CorticalLabs. The dawn of biological GPUs is here. https://t.co/Jx0vWoCMqV
Genome design by generative AI - does it actually work? Or are we getting the genomic equivalent of this nonsense engine blueprint? We don't know because the experiments have been done at the scale needed to find out. https://t.co/uAjzCQVsS8 https://t.co/PBO7di93VY
Genome design by generative AI - does it actually work? Or are we getting non-sense blueprints instead? We don't know because the experiments haven't been done at the scale needed to find out. https://t.co/uAjzCQVsS8 https://t.co/enTeYrtFud