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Now, Google is also launching a similar initiative, which aims to turn AI into a co-scientist that can accelerate scientific discoveries. The tech giant explains, "The AI co-scientist is a multi-agent AI system that is intended to function as a collaborative tool for scientists."
Beyond speed, AI has also helped reduce costs. Conventional methods required nearly $35,000 per genome analysis, but AI-driven models running on GPUs have lowered the cost to under $2,000, making high-quality genomic research more accessible.
Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when studying how cells interact and respond to changes in their environment,
Google has developed an AI tool to act as a virtual collaborator for biomedical scientists, the U.S. blue chip said on Wednesday.
Scientist' AI it says could lead to huge research breakthroughs - System can look through research and propose new hypotheses - which appear to be correct
This new approach, powered by a specialised protein large language model, predicts the most effective protein variants while using 99% less data than traditional methods.