Robot Scientist Does Away With Need For Grad Students
from the who-needs-'em dept
With all the complaints people have had recently about jobs be offshored, next thing you know, they'll be complaining about software programs that make them obsolete as well. British researchers have built a robot scientist for doing genetic research, that seems to be just as effective, and much cheaper, than having a grad student do the same work. I guess it's just one step closer to Marshall Brain's vision of the world.
Thank you for reading this Techdirt post. With so many things competing for everyone’s attention these days, we really appreciate you giving us your time. We work hard every day to put quality content out there for our community.
Techdirt is one of the few remaining truly independent media outlets. We do not have a giant corporation behind us, and we rely heavily on our community to support us, in an age when advertisers are increasingly uninterested in sponsoring small, independent sites — especially a site like ours that is unwilling to pull punches in its reporting and analysis.
While other websites have resorted to paywalls, registration requirements, and increasingly annoying/intrusive advertising, we have always kept Techdirt open and available to anyone. But in order to continue doing so, we need your support. We offer a variety of ways for our readers to support us, from direct donations to special subscriptions and cool merchandise — and every little bit helps. Thank you.
–The Techdirt Team
Reader Comments
Subscribe: RSS
View by: Time | Thread
No Subject Given
[ link to this | view in chronology ]
Golden Era of Bioinformatics
There are only so many people in the world who have such expertise, and most training is still U.S.-based for now. As for outsourcing, the U.S. does have a comparative advantage in our relatively flexible education system, where people can change fields throughout their career. Most other countries, including Europe, China, and India, have more rigid systems in which people are expected to stay within their specialty throughout their career; cross-training is difficult.
[ link to this | view in chronology ]