12 ANALYTICAL AND LABORATORY EQUIPMENT
HELPING HAND
A
S tep closer to creating the world’s fi rst AI science assistant
I
ris.ai, the artifi cial intelligence tool that helps researchers fi nd relevant scientifi c papers and journals, has announced the launch of version 4.0. T e launch adds the Focus tool, an intelligent mechanism to refi ne and collate a reading list of research literature, cutting out a huge amount of manual eff ort. In 2016, over 2.2 million science and engineering articles were published1
- 46%
more than a decade earlier. However, the cumulative mass of information means that most of it will never be cited by future research and put to use. With artifi cial intelligence (AI) there is no limit to the volume of knowledge that can be consumed and no bias in how it processes information.
Iris.ai uses a neural network algorithm to understand context and document similarity. It semi-automates the arduous process of fi nding relevant scientifi c literature, a painstakingly manual process that is prone to error. T e previous generation of Iris. ai generated a research map, a visual representation of research literature tailored to a user’s area of interest that could be interactively explored before having to read any papers.
Iris.ai 4.0 adds to this by allowing the
creation of intelligent fi lters to include or exclude topics of interest, retraining the algorithm as it goes. T is signifi cantly reduces
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the average time it takes for professional researchers to compile a full report of relevant papers to support their work. By doing the task completely manually it takes around three weeks to fi nd, analyse and report on relevant research.
Iris.ai reduces this to two days and increases the confi dence level of results by 15%. Anita Schjøll Brede, CEO of
Iris.ai says:
“We live in a world where more scientifi c research is publicly available to us than ever before and millions of new research papers are published every year. T e world of academia has never been as productive as it is today. “T e problem with having such a
huge volume of research is that most of it never gets used. It’s estimated that half of research papers aren’t read by more than a handful of people2
and as many as 90% of
papers published are never cited.3 “With
Iris.ai, we are using artifi cial intelligence to develop a machine that can read and digest all this knowledge. With such a machine, we can accelerate the progression of knowledge, advance humankind and solve a lot of problems by facilitating better dissemination of research.”
Overall vision Brede states that, “Our vision is to help the world’s scientists and engineers work closer
2
Iris.ai semi-automates the arduous process of fi nding relevant scientifi c literature
together and use each other’s research more effi ciently. T e 4.0 update is a signifi cant step towards this vision, and will help scientists deal with information overload.”
Iris.ai has the ultimate goal of creating
an AI-powered science assistant that will be able to autonomously search and extract useful knowledge, it will learn to ignore poor quality research as well as build new knowledge from its fi ndings. T e next step towards this goal will be to build Aiur, a community-governed knowledge validation engine.
REFERENCES 1
https://www.nsf.gov/statistics/2018/ nsb20181/assets/968/tables/tt05- 22.pdf
https://www.smithsonianmag. com/smart-news/half-academic- studies-are-never-read-more-three- people-180950222/
3
https://pdfs.semanticscholar. org/58a7/c926fe0567e4284ccc37c2 442b3367072ae0.pdf
Scientists can test out Iris for free at
https://the.iris.ai
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