Robotics & Machine Learning Daily News2024,Issue(Jul.2) :47-47.

New Findings Reported from Laboratory of Evolutionary Genetics Describe Advances in Artificial Intelligence (Individual Identification of Medaka, a Small Freshw ater Fish, from the Dorsal Side Using Artificial Intelligence)

进化遗传学实验室报告的新发现描述了人工智能的进展(用人工智能从背侧对一种小型淡水鱼青甲进行个体识别)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :47-47.

New Findings Reported from Laboratory of Evolutionary Genetics Describe Advances in Artificial Intelligence (Individual Identification of Medaka, a Small Freshw ater Fish, from the Dorsal Side Using Artificial Intelligence)

进化遗传学实验室报告的新发现描述了人工智能的进展(用人工智能从背侧对一种小型淡水鱼青甲进行个体识别)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于人工智能的新报告。根据NewsR X编辑在日本东京的新闻报道,研究表明,“个人识别是人类的一种重要能力,也许对非人类动物也是如此。”这项研究的财政支持者包括J.W.U.。我们的新闻编辑从进化遗传学实验室的研究中获得了一句话:“实验室实验在大量饲养每只动物的同时,也需要保存它们的记录,但对于非人类动物来说,能够进行个体识别的特定身体部位或可接受的视角大多是未知的。在本研究中,本文研究了人工智能(AI)在背视图上能否区分青刀甲个体,这是一种生物学、农业学、生态学和行为学研究的模型动物,并利用可教机器对成年鱼(n=4)进行了拍照和机器学习,令人惊讶的是,人工智能在总共11个独立实验中能很好地识别出个体。人工智能还能区分八个人,尽管机器学习需要更多的时间和精力。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Tokyo, Japan, by NewsR x editors, research stated, “Individual identification is an important ability f or humans and perhaps also for non-human animals to lead social lives.” Financial supporters for this research include J.w.u.. Our news editors obtained a quote from the research from Laboratory of Evolution ary Genetics: “It is also desirable for laboratory experiments to keep records o f each animal while rearing them in mass. However, the specific body parts or th e acceptable visual angles that enable individual identification are mostly unkn own for non-human animals. In this study, we investigated whether artificial int elligence (AI) could distinguish individual medaka, a model animal for biologica l, agrarian, ecological, and ethological studies, based on the dorsal view. Usin g Teachable Machine, we took photographs of adult fish (n = 4) and used the imag es for machine learning. To our surprise, the AI could perfectly identify the fo ur individuals in a total of 11 independent experiments, and the identification was valid for up to 10 days. The AI could also distinguish eight individuals, al though machine learning required more time and effort.”

Key words

Laboratory of Evolutionary Genetics/Tok yo/Japan/Asia/Artificial Intelligence/Cyborgs/Emerging Technologies/Machin e Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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