Counting on AI: The right time for researchers to embrace Artificial Intelligence

While Artificial General Intelligence, or “singularity” as they call it, may be decades away, we have already reached a point where AI can significantly augment our intelligence and help us achievebetter outputs at a faster pace.

As of today, there isno areawhere AI has not been proven useful. From playing games to flying airplanes and from detecting cancers to automatically cleaning up selfie-portraits, AI has made its presence felt in all domains.

There are over 8 millionactive researchers who collectively spend over $1.5 trilliononacademic research, with thepromise ofadvancing the world’s combinedknowledge and intellect.

The right AI-powered tools and techniques can make a significant difference in how research is conducted and how fast results are obtained.

Until a year ago, the general public may not have understood or even paid much heed tothe need for speed andaccuracy when it comes to research. But because of the recent COVID-19 situation, many are recognizing and feeling the pain of the paceof research inthe race to findan antiviral drug or a vaccine.

While some of the results of academic research are celebrated, it is easy to forget the countless steps and processes behind the scenes, which last many months before any results are achieved;more often than not, the results of research aren’t always revolutionary or directly useful.

One of the early stages of the research lifecycle is discovery. On average, researchers spend 4 hours every week searching throughresearch and 5 hours reading articles, with only 50% of the articles being useful. Here, AI can come in to help researchers discover the right articles to read.

There are many tools out therethat are powered by natural language processing and search based on machine-learned concepts, which help researchers narrow down their reading and discover the relevant research much faster.

The next stage is the actual research,which consists of gatheringdata; running experiments based on various hypotheses; collecting, analyzing, and representing the research outputs; and arriving at the conclusions.

For the above steps, many AI open-source tools, such as Python, R, Pandas, Scikit, and Spark, as well as proprietary AI tools like Mathematica, Matlab, and SAS can be very useful, especially when directed toward statistical machine learning.

Many research labs are making use of advanced AI streams such as computer vision, robotic arms, IOT, and speech and audio to assist them in the research process.  

Finally, the most important stagefor researchers is the publication and dissemination of their research—the tedious andtime-consuming albeit critical finalstep of the process.

While there are editing services that exist to help withmanuscript preparation, formatting, and language correction, there are many AI tools out there that can be used by researchers, which help withwriting manuscripts, correcting grammar and language, and formatting them as per target journal standards, in addition toautomated solutions for stylingfigures, tables,captions,and citations.

Pub-sure.com is an online suite of assistive tools that helpsresearchersmake theirmanuscriptspublication-ready.

Since its inception, Cactus has been partnering with researchers to assistthem in their research journey. It has been our constant endeavor to enable researchers and innovators to find analogous concepts and novel ideas from different industries and fields.

We are excited to have entered the AI and deep-learning space as well, as the need of the hour is to develop innovative products for publishers as well asbusiness and tech solutions for stakeholders in the research landscape.

With powerful initiatives likeresearcher.life, our aim is toput the researcher at the center of research.We have already developedseveral AI-powered tools that help researchers focus on their main work, the research. As a community, however, we still have a longway to go beforeAI is fully integrated in the researcher's ecosystem.

The author of the article is Nishchay Shah, Chief Technology Officer, Cactus Communications