Category: biology
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Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics
Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics [ The article was written by Guanao Yan, Ph.D. student of Statistics and Data Science at UCLA. Guanao is the first author of the Nature Communications review article [1]. Spatially resolved transcriptomics (SRT) is revolutionizing Genomics by enabling the high-throughput measurement of gene expression while…
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Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems
Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems How natural systems fundamental laws help explain AI’s unexpected abilities Continue reading on Towards Data Science » Javier Marin Go to original source
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Reinforcement Learning: Self-Driving Cars to Self-Driving Labs
Reinforcement Learning: Self-Driving Cars to Self-Driving Labs Understanding AI applications in bio for machine learning engineers Photo by Ousa Chea on Unsplash Anyone who has tried teaching a dog new tricks knows the basics of reinforcement learning. We can modify the dog’s behavior by repeatedly offering rewards for obedience and punishments for misbehavior. In reinforcement learning…