Main menu


How artificial intelligence drives science and research

How artificial intelligence drives science and research

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 , 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 .