AI and drug discovery

K. Tsunoyama
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Abstract

(AI). AI simulated in programmed to mimic human brain behavior learning, reasoning and problem Many computer algorithms to previous waves, this latest wave of AI by deep learning algorithm which is inspired by how human brain processes information through interaction of neurons. The first simplified mathematical model of neuron, the formal neuron, 1943. In this model, a neuron receives a set of binary inputs from other neurons, multiplies each input with the weight (i.e. the strength of synapse), and activates if the sum of these weighted inputs is greater than a threshold. More than 70 years have passed since this simple model was proposed and we are now seeing many examples where AI beats humans. In this symposium, we have speakers from two pairs of pharmaceutical and IT companies that have recently announced big partnership for AI technology, and they will present their recent development and application of AI, and their future prospects. I hope we can learn many cases of applications of AI to biology, pharmacology, drug discovery, and pharmaceutical business.
人工智能与药物发现
(AI)。许多计算机算法到以前的浪潮,这一最新的人工智能浪潮由深度学习算法,其灵感来自于人类大脑如何通过神经元的相互作用来处理信息。第一个简化的神经元数学模型,正式神经元,1943年。在这个模型中,一个神经元从其他神经元接收一组二进制输入,将每个输入与权重(即突触的强度)相乘,如果这些加权输入的总和大于阈值,则激活。自从这个简单的模型被提出以来,已经过去了70多年,我们现在看到了许多人工智能击败人类的例子。在本次研讨会上,我们邀请了两对制药和IT公司的发言人,他们最近宣布了人工智能技术的重大合作伙伴关系,他们将介绍他们最近在人工智能方面的发展和应用,以及他们未来的前景。我希望我们可以学习到更多AI在生物学、药理学、药物发现、制药业务等方面的应用案例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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