首页|Nanyang Technological University Reports Findings in Artificial Intelligence (Co nfronting the data deluge: How artificial intelligence can be used in the study of plant stress)
Nanyang Technological University Reports Findings in Artificial Intelligence (Co nfronting the data deluge: How artificial intelligence can be used in the study of plant stress)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news originating from Singapore, Sing apore, by NewsRx correspondents, research stated, "The advent of the genomics er a enabled the generation of high-throughput data and computational methods that serve as powerful hypothesis-generating tools to understand the genomic and gene functional basis of plant stress resilience. The proliferation of experimental and analytical methods used in biology has resulted in a situation where plentif ul data exists, but the volume and heterogeneity of this data has made analysis a significant challenge." Our news journalists obtained a quote from the research from Nanyang Technologic al University, "Current advanced deep-learning models have displayed an unpreced ented level of comprehension and problem-solving ability, and have been used to predict gene structure, function and expression based on DNA or protein sequence , and prominently also their use in high-throughput phenomics in agriculture. Ho wever, the application of deep-learning models to understand gene regulatory and signalling behaviour is still in its infancy. We discuss in this review the ava ilability of data resources and bioinformatic tools, and several applications of these advanced ML/AI models in the context of plant stress response, and demons trate the use of a publicly available LLM (ChatGPT) to derive a knowledge graph of various experimental and computational methods used in the study of plant str ess."
SingaporeSingaporeAsiaArtificial I ntelligenceEmerging TechnologiesGeneticsMachine Learning
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