How an AI trained to read scientific papers could predict future discoveries?

A paper recently published in Nature reports that an AI has now managed to predict future scientific discoveries by simply extracting meaningful data from research publications. Language has a deep connection with thinking, and it has shaped human societies, relationships and, ultimately, intelligence.

How is machine learning used in science?

Machine learning makes analyzing datasets much easier and the ML algorithms perform the bulk of work for the user. In areas where datasets are too large to effectively analyze using standard statistical techniques, this becomes invaluable.

How does machine learning affect information science?

Machine learning allows computers to take in large amounts of data, process it, and teach themselves new skills using that input. It evolves from the study of pattern recognition and the design and analysis of algorithms to enable learning from data and make possible data-driven predictions or decisions.

How does AI relate to science?

Artificial intelligence (AI) is the field of science concerned with the study and design of intelligent machines. For people unfamiliar with AI, the thought of intelligent machines may at first conjure images of charismatic human-like computers or robots, such as those depicted in science fiction.

Why is machine learning successful?

The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results.

How can AI help scientists?

It can assist in peer reviews, searching and extracting published content as well as in detecting plagiarism and spotting data fabrication as mentioned in “Artificial Intelligence in Research and Publishing”. AI powered tools are also useful in scientific communication as they are not prone to the same bias as humans.

How does AI help research?

Huge amounts of data make it difficult to find relevant information necessary for researchers. AI can quickly solve such issues with a single search and extract patterns. Finally, AI helps researchers discover data similarities: it helps make decisions by revealing insights that scientists have missed.

What is the history of AI in science?

THE AI REVOLUTION IN SCIENTIFIC RESEARCH 2 Throughout the 20th century, the development of artificial intelligence (AI) techniques offered additional tools for extracting insights from data. Papers by Alan Turing FRS through the 1940s grappled with the idea of machine intelligence.

How can artificial intelligence help scientists solve big problems?

The deluge has many scientists turning to artificial intelligence for help. With minimal human input, AI systems such as artificial neural networks — computer-simulated networks of neurons that mimic the function of brains — can plow through mountains of data, highlighting anomalies and detecting patterns that humans could never have spotted.

Are machine learning and Ai the new way of doing science?

But some scientists are arguing that the latest techniques in machine learning and AI represent a fundamentally new way of doing science.

Can AI help us learn more about the universe?

Kevin Schawinski, an astrophysicist who runs an AI company called Modulos, argues that a technique called generative modeling offers a third way of learning about the universe.