Scientific discovery: Hand it to the machines
When AI and chips are the best researchers, let them get on with it
There’s only so much a scientist can do. Which is why we all use smart agents to do most of our research for us. Smart software can read and parse papers many thousands of times faster than any human.
A typical example is fingerprint identification or facial recognition. Computers are just way more efficient at matching patterns. But what happens when you are looking for new data in real time? How do you program that?
Nano Global has released their first version of Nanobit, a system-on-a-chip that can detect, analyze, and report on molecular changes in real time. That’s like a molecular scientist on steroids, working 24/7 on a living sample, only faster.
The key to this breakthrough is integrating several emergent technologies in a combinatorial mashup, embedded in the latest purpose-driven silicon package. Combining nano materials, artificial intelligence, biotech and blockchain with advanced computational logic makes the Nanobit unique in its ability to not only monitor molecular systems, but also determine corrective protocols to fight disease or advance health.
This is just the beginning of a whole new era of scientific discovery, performed by automated digital systems – hardly robots – without human intervention. Hundreds of academic fields from biochemistry to metaphysics are set to get a major boost, as the body of scientific knowledge increases exponentially over the next few years.
And what will the humans do? Oh, we still need them for peer review! Or do we?
Links to related stories
- Google Has Released an AI Tool That Makes Sense of Your Genome - MIT Technology Review, 4 December 2017
- Firm To Use Blockchain For Real-Time Analysis Of Molecular Data - ETH News, 23 November 2017
- A Translation Algorithm Can Predict the “Language” of a Chemical Reaction - The Download, 4 December 2017
- MindBullet: THE NEXT BIG THING IS A MASHUP (Dateline: 21 May 2020, Published: 25 May 2017)
Warning: Hazardous thinking at work
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