Still wondering what the whole GenAI craziness is all about? You are certainly not alone (and some folks, like Ed Zitron, will gladly tell you that it’s all a giant con operation). But there seems to be, aside from the obvious elephant in the room “coding,” at least one area where GenAI shines: science.
Points in case: Google’s AI solved a 10-year superbug mystery in just two days.
[…] While the team knew about this tail-gathering process, nobody else in the world did. Imperial’s revelations were private, there was nothing publicly available, and nothing was written online about it. The scientists then asked the co-scientist AI, using a couple of written sentences, if it had any ideas as to how the bacteria operated. Two days later, the AI made its own suggestions, which included what the Imperial scientists knew to be the right answer.
Meanwhile, Nvidia unveiled an AI system to aid in genetic research.
Scientists have high hopes that such AI technology will dramatically accelerate research by spotting patterns in vast amounts of data that would normally take years to analyse by hand. The system learned from nearly 9 trillion pieces of genetic information taken from over 128,000 different organisms, including bacteria, plants, and humans. In early tests, it accurately identified 90% of potentially harmful mutations in BRCA1, a gene linked to breast cancer.
