How Is Artificial Intelligence Re-Shaping Research?

2022-07-13
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Artificial Intelligence (AI) is playing an increasing role in the research process. AI-based algorithms are being used to improve the efficiency of research and to provide new perspectives on explored topics. They are valuable not only in drawing connections between different pieces of information but also in proposing and testing new hypotheses. 


'AI-based algorithms are being used to improve the efficiency of research and to provide new perspectives on explored topics.' - Dmytro SpilkaClick To Tweet

AI Research Use Cases


A major advancement in artificial intelligence research recently came with a machine learning algorithm capable of inventing radical new proteins that can fight disease. Also, AI researchers are now developing algorithms that can search for scientific research papers and extract information from them to automatically correct scientific papers. Let’s take a look at some more uses cases of AI in research.

#1: Automated Data

Artificial intelligence is also used to optimize resources in research laboratories, automate the acquisition of data and facilitate the synthesis and analysis of complex datasets. For example, AI has recently been used to help manage the activities in large-scale, long-term studies by providing real-time guidance. An AI system may be able to monitor the health of each participant in a study and alert a scientist if a participant’s status changes.

#2: Optimize Equipment

AI is also being used to optimize laboratory techniques and equipment. AI-driven robots can automatically perform several tasks that were previously only carried out by humans, such as organizing and storing scientific equipment, preparing samples for analysis, and carrying out routine diagnostic tests. In addition, automated systems are also able to carry out tasks that are too dangerous or difficult for scientists or technicians to complete themselves. AI and robotics are also being used in the design of experiments—helping researchers determine which parameters should be changed, how the experiment should be designed, and what measurements should be made.

#3: Healthcare

Many believe AI will soon be used to identify new drugs and drug combinations, diagnose diseases from medical images, and assist in surgeries. AI was used to predict an enzyme better than any other prediction before. A technique called deep learning was used. The system was able to predict the three-dimensional structure of an enzyme. The most important thing is that the 3D structure was more complex than those the algorithm was previously trained to deal with. Artificial intelligence has also been successfully used in cancer research to create better ways to detect, diagnose, and treat cancer patients.

Researchers reported that they used machine vision to analyze human behavior and physical characteristics in videos of people with autism and Asperger’s Syndrome. They used AI algorithms based on deep learning with a dataset of 1,200 videos featuring 12-megapixel cameras, just like the ones on iPhone 13, and individuals making facial expressions or engaged in social interactions, such as smiling or nodding. The analysis revealed ten distinct facial states of autism, while deep neural networks also accurately projected the severity of symptoms.

#4: Computer Science

Researchers use AI-based algorithms to search databases of molecules and find effective molecules with desired properties. Such an algorithm may be able to search databases of millions of molecules in a fraction of the time it would take an expert scientist.

Computer scientists also created a system that can be used to generate new educational games based on existing video games. The researchers used AI to develop new algorithms for recombining existing game elements into new types of games. They used machine learning to create the system, which uses a personalized learning algorithm to select elements from a large amount of video game content and then recombines them in an unpredictable way. The researchers suggest that this technique could be useful for exploring different genres of video games or creating new genres based on already existing ones.

The Future of Research

It has been asserted that AI affects the nature of humans, their intelligence, and the decision-making process. With the advent of AI, there is concern over how its creations could affect human beings, including encouraging biases in human thought processes. A common concern is that machines would become smarter than humans and thus gain control. Regardless, AI is proving a powerful tool for connecting information and drawing new hypotheses.



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  • Artificial Intelligence

  • Data Analytics

  • Health and Wellness

  • Healthcare

  • Machine Learning



  • Artificial Intelligence

  • Data Analytics

  • Health and Wellness

  • Healthcare

  • Machine Learning


参考译文
人工智能如何重塑研究?

人工智能(AI)在研究过程中发挥着越来越大的作用。基于人工智能的算法正在被用于提高研究效率,并为已探索的主题提供新的视角。它们不仅在不同信息之间建立联系方面有价值,而且在提出和检验新的假设方面也有价值。基于人工智能的算法正在被用于提高研究效率,并为探索的主题提供新的视角。'人工智能研究最近取得了一项重大进展,一种机器学习算法能够发明出对抗疾病的全新蛋白质。此外,人工智能研究人员正在开发可以搜索科学研究论文并从中提取信息的算法,以自动纠正科学论文。让我们来看看人工智能在研究中的更多使用案例。人工智能还被用于优化研究实验室的资源,自动化数据获取,并促进复杂数据集的合成和分析。例如,人工智能最近被用于通过提供实时指导来帮助管理大规模长期研究中的活动。人工智能系统可能能够监测研究中每个参与者的健康状况,并在参与者的状态发生变化时向科学家发出警报。人工智能还被用于优化实验室技术和设备。人工智能驱动的机器人可以自动执行几项以前只能由人类执行的任务,如组织和存储科学设备,准备用于分析的样本,以及进行日常诊断测试。此外,自动化系统还能够执行对科学家或技术人员来说太危险或太难完成的任务。人工智能和机器人技术也被用于实验设计——帮助研究人员确定应该改变哪些参数,应该如何设计实验,以及应该进行哪些测量。许多人认为,人工智能很快将被用于识别新药和药物组合、根据医学图像诊断疾病以及协助手术。人工智能被用来预测一种酶,比以往任何预测都要好。他们使用了一种叫做深度学习的技术。该系统能够预测酶的三维结构。最重要的是,3D结构比算法之前训练处理的结构更复杂。人工智能还被成功地用于癌症研究,以创造更好的方法来检测、诊断和治疗癌症患者。研究人员报告说,他们使用机器视觉分析了自闭症和阿斯伯格综合症患者视频中的人类行为和身体特征。他们使用了基于深度学习的人工智能算法,该算法包含1200个视频数据集,这些视频拥有1200万像素的摄像头,就像iPhone 13上的摄像头一样,每个人都会做出面部表情或进行社交互动,比如微笑或点头。该分析揭示了自闭症的十种不同的面部状态,而深度神经网络也准确地预测了症状的严重程度。研究人员使用基于人工智能的算法搜索分子数据库,并找到具有所需属性的有效分子。这样一种算法可能能够搜索数据库中的数百万个分子,只需要专家科学家花费的一小部分时间。 计算机科学家还创造了一个系统,可以用来在现有的电子游戏的基础上生成新的教育游戏。研究人员利用人工智能开发了新的算法,将现有的游戏元素重新组合成新的游戏类型。他们使用机器学习创建了这个系统,该系统使用个性化学习算法从大量视频游戏内容中选择元素,然后以一种不可预测的方式重新组合它们。研究人员表示,这种技术可以用于探索不同类型的电子游戏,或者在现有游戏的基础上创造新的游戏类型。有人断言,人工智能会影响人类的本性、他们的智能和决策过程。随着人工智能的出现,人们担心它的创造会如何影响人类,包括鼓励人类思维过程中的偏见。一个普遍的担忧是,机器会变得比人类更聪明,从而获得控制权。无论如何,人工智能被证明是连接信息和得出新假设的强大工具。tweetshasharereemailartificial IntelligenceData AnalyticsHealth and WellnessHealthcareMachine learning人工智能数据分析shealth and WellnessHealthcareMachine Learning

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