Harmonise technology through scientific ontologies adhering to public standards, whilst curating vocabularies
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Learn moreCombine deep learning and semantic algorithms to build powerful models that can exploit life science data and accelerate its use in R&D
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GPT3 (which stands for 'generative pretrained transformer 3') is a large language model that is capable of generating text with very high fidelity. Unlike previous models, it doesn't stumble over its grammar or write like an inebriated caveman. In many circumstances it can easily be taken for a human author, and GPT-generated text is increasingly prolific across the internet (and, we suspect, in the classroom) for this reason.
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Streamlining data-intensive scientific workflows and supply chains through FAIR data, data models and applications – A collaboration between L7 Informatics and SciBite. With increasingly complex manufacturing and supply chains in the life sciences, there is a requirement for flexible and extensible tools to support data management.
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As discussed in part 1, Artificial intelligence (AI) has revolutionized several areas in life sciences, including disease diagnosis and drug discovery. In this second blog, we introduce some specific text-based models whilst also discussing the challenges and future impact of AI in Life Science.
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