GenAI In Life Sciences: From Drug Discovery To The Nobel Prize [Forbes]
Sanofi - American Depositary Shares (SNY)
US:NYSE Investor Relations:
sanofi.com/en/investors
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Source: Forbes
However, I often hear from my life science clients about the need for more clarity around its actual applications and the technical paradigms. This article offers executives a high-level overview, addressing some of the most common questions I encounter. What's the difference between traditional AI and GenAI? AI refers to computer systems that mimic human intelligence to perform tasks such as learning and reasoning. Traditional AI can be described as predictive, as it primarily analyzes data to forecast outcomes or classify patterns. GenAI is generative, focusing on creating new content based on learned data, whether it's text, images or molecular structures. All GenAI is grounded in deep learning with certain architectural variations, and all deep learning models are based on neural networks, which was originally proposed in the 1940s. In summary: AI machine learning neural networks deep learning GenAI. Is all GenAI the same? Under the hood, there are four modalitie
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