machine learning algorithm designs antibodies to target specific diseases, then automated robotic systems build and grow them in lab, run tests, and feed data back into algorithm, all with limited human supervision.
machine learning algorithm designs antibodies to target specific diseases, then automated robotic systems build and grow them in lab, run tests, and feed data back into algorithm, all with limited human supervision.
Yes, it is literally true in the field of computer science, but it’s being thrown around loosey goosey in a way that does not align with how it would be used in a technical sense, at least my in experience, though it’s been 15 years since I was in school, and 5 years since I did my last machine learning work in robotics.
The field of AI contains ML, but “an AI,” singular, as used in this headline, is a generalized intelligence. When you write a headline “AI is building…” that’s not the technically correct usage I am used to.
But my point is that suddenly what any industry used to call machine learning and has been doing for a decade or more is getting puff pieces as part of the AI hype because of LLMs. Anyone so much a thinking about a markov chain is changing their marketing copy to be about how they’re an AI-driven company.
It definitely doesn’t help how many times people published articles saying stuff like “ChatGPT is just about to become Skynet”.
Yeah that’s exactly the kind of thing I’m talking about.