We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Vicotex

Download Mobile App




AI Machine Credited with Scientific Discovery

By LabMedica International staff writers
Posted on 23 Apr 2009
Welsh scientists have created a "robotic scientist” that the researchers believe is the first machine to have independently discovered new scientific knowledge. More...
The robot, called Adam, is a computer system that fully automates the scientific process.

The project was published April 2, 2009, in the journal Science. Prof Ross King, from Aberystwyth University (Wales, UK), and who led the research in the department of computer science, said, "Ultimately we hope to have teams of human and robot scientists working together in laboratories."

The scientists at Aberystwyth University and the University of Cambridge (UK) designed Adam to carry out each stage of the scientific process automatically without the need for further human intervention.

The robot has discovered simple but new scientific knowledge about the genomics of the baker's yeast Saccharomyces cerevisiae, an organism that scientists utilize to model more complex life systems. The researchers have used separate manual experiments to validate that Adam's hypotheses were both novel and correct. "Because biological organisms are so complex it is important that the details of biological experiments are recorded in great detail. This is difficult and irksome for human scientists, but easy for robot scientists."

Using artificial intelligence, Adam theorized that certain genes in baker's yeast code for specific enzymes that catalyze biochemical reactions in yeast. The robot then devised experiments to test these predictions, ran the experiments using laboratory robotics, interpreted the results and repeated the cycle.

Adam is still a prototype, but Prof King's team believe that their next robot, Eve, holds great potential for scientists searching for new drugs to fight diseases such as malaria and schistosomiasis, an infection caused by a type of parasitic worm in the tropics.

Prof. King continued, "If science was more efficient it would be better placed to help solve society's problems. One way to make science more efficient is through automation. Automation was the driving force behind much of the 19th and 20th century progress, and this is likely to continue."

Related Links:
Aberystwyth University
University of Cambridge



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
New
Gold Member
Platelet Function Analyzer
PL-12
Urine Analyzer
respons® UDS100
Food Allergy Screening ELISA Kit
Allerquant 14G B ELISA
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Nian Sun has spent years perfecting a device that he believes could change the way diseases are detected. (Photo courtesy of Alyssa Stone/Northeastern University)

Rapid Breath Sensor Detects SARS-CoV-2 from Exhaled Air

Nasal swabs and polymerase chain reaction (PCR) testing have been central to identifying SARS-CoV-2, but they can be uncomfortable, slow, and logistically complex when samples require transport.... Read more

Molecular Diagnostics

view channel
Image: At the MHH Institute of Human Genetics: Prof. Dr. Doris Steinemann, Dr. Bernardus Aldrige Allister and Prof. Dr Monika Golas (from left). (Image Credit: Karin Kaiser/MHH)

Multi-Omics Analysis Identifies Additional Risk Genes in Hereditary Breast and Ovarian Cancer

Hereditary breast and ovarian cancer can be difficult to explain genetically, leaving many high-risk families without clear answers. Although 13 established risk genes, including BRCA1 and BRCA2, are routinely... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.