How artificial intelligence drives science and research
Artificial intelligence (AI) has been infiltrating our daily lives . In fact , most of us are within the sphere of artificial intelligence . Examples include product recommendation algorithms in social networks or chatbots . Simply put , AI is any machine that behaves in a way that would be considered smart and intelligent if a human would do the same .
A wide range of industries are exploring the use of artificial intelligence . This is because it has the potential to dramatically reduce the labor and time required for work , and to imitate human intellect . Artificial intelligence has incredible potential to change the course of science . Although its application in the field of research is still in its infancy , the realm of possibilities that artificial intelligence can open to researchers is endless. There seems to be no . Let 's look at a few .
Artificial intelligence: data analysis
Over the years , the ability of researchers to create and store data has increased sharply to the extent that it is truly a 'data flood' . Analyzing the patterns and meanings of this wide range of data has been a challenge for researchers . Deep learning technologies can play a decisive role in making data analysis tasks easier . Gadi Singer, vice president of Intel's Artificial Intelligence Products Group , said : “ If you train the machine on enough cases through deep learning technology, it can predict the outcome with a given accurate model . how many hours or It means we can do something that took days to do in seconds .”
Artificial intelligence: new discovery
The combination of deep learning technology, an AI learning method that mimics human intelligence, and human intelligence opens up new possibilities for researchers . Speaking of machine learning, Singer said, “ The possibilities are endless , like mutated DNA . ” Says. AI is also used by pharmaceutical companies, enabling large-scale experiments. “ Extracting new information from academic papers and enabling hypothesis testing. “ This could lead to amazing drug discovery . In this way, artificial intelligence is helping researchers in challenging fields .
Artificial intelligence: journal process
Academic publishing is an inseparable part of conducting research . One of the concerns of most journal editors and peer reviewers is whether they can detect problems with the data , statistics , references , and images of the manuscripts they review . Also , plagiarism investigation is another important process in manuscript evaluation . Artificial intelligence can help journal staff and researchers to discover problems efficiently and precisely .
In some fields of scientific discovery and publication , artificial intelligence has already reached the stage of application . Let 's take a closer look at this .
Artificial intelligence: Conduct literature review
Data underlie all research, and reviewing the existing literature is an important step in the research process . With the amount of literature published in recent years growing exponentially, performing a literature review usually takes a significant amount of time . Literature search tools powered by artificial intelligence are helping researchers do this quickly and effectively . For example , computer scientist Christian Berger started researching autonomous vehicles . When we did , we realized we had to review over 10,000 existing documents . This would take months , but with Iris.ai , an artificial intelligence -powered tool , Christian was able to map thousands of documents and categorize them by subject to complete a literature review in a fraction of the time .
Artificial intelligence: Journal process assistant
Journals that need to review hundreds of submitted manuscripts are a good place to apply AI technology . One of the most difficult tasks for journal editors is verifying the authenticity of submitted manuscripts and finding peer reviewers for promising papers . Some editors are turning to artificial intelligence tools to help find suitable peer reviewers , manage submissions , and even make manuscript approval decisions . a few months ago , peer review platform ScholarOne announced a partnership with AI software company UNSILO to “ enhance efficiency by supporting editors’ decision- making and reducing the time spent screening manuscripts ” . Artificial intelligence is playing an important role in simplifying the challenges facing editors and reviewers, and making the journal publishing process faster and more efficient .
Are there any restrictions on the use of artificial intelligence ?
Artificial intelligence is considered by many to be the future of science and research, but is it without limitations ? While some scholars envision the future of automated science , computer scientist Christian Berger warns : “ No research engine can automatically answer every question . ” Although artificial intelligence can support scientific discoveries, it is not necessary for humans to understand the results or analyzes produced by artificial intelligence . Insight is still needed . Another problem is that AI -based tools and software are expensive, and these expensive tools are only accessible to a small number of researchers .
Scientific trends being automated tend to convey the belief that analysis of results will be accurate and reliable without bias . However , the defenseless use of artificial intelligence in the process of journal publishing may require sanctions . For example , author and editor Douglas Haven comments on the use of AI in the peer review phase : “ Machine learning tools that have learned from existing publications can take advantage of existing biases in peer review. It can be strengthened .” Therefore , human intervention and decision- making will continue to play an important role even as our reliance on artificial intelligence increases .
However , in spite of these limitations, it is clear that artificial intelligence will be the future of scientific development and progress that will push science to new heights .
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