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Predicting the trajectory of a cannonball is applied mathematics. Aircract autopilot and cruise control are only slightly more elaborate. You can't label every
by kevin_thibedeau 1y ago
Predicting the trajectory of a cannonball is applied mathematics. Aircract autopilot and cruise control are only slightly more elaborate. You can't label every algorithmic control system as "AI".
- MontyCarloHall 1y agoI agree that aircraft autopilot/other basic applications of control theory are not usually considered "AI," nor were they ever — control theory has its roots in mechanical governors. Certain adaptive cruise control systems certainly are considered AI (e.g. ones that utilize cameras for emergency braking or lane-keep assist). The line can be fuzzy — for instance, are solvers of optimization problems in operations research "AI"? If you told people in the 1930s that computers would be used in a decade by shipping companies to optimally schedule and route packages or by militaries to organize wartime logistics at a massive scale, many would certainly have considered that some form of intelligence.
- jagged-chisel 1y agoIt’s “AI” until it gets another name. It doesn’t get that other name until it’s been in use for a bit and users start understanding its use. So you’re right that some of these things aren’t AI now. But they were called that at the start of development.
- hamilyon2 1y agoYes. Chess engine is clever tree search at it's core. Which in turn is just loops, arithmetic and updating some data structures. And every AI product in existence is the same. Map navigation, search engine ranking, even register allocation and query planning. Thus they are not AI, they're algorithms. The frontier is constantly moving.
- paxys 1y agoNext you'll tell me AI is just algorithms under the hood!
- tempodox 1y agoThat would be such a spoiler. I want to believe in miracles, oracles and omniscience!
- small_scombrus 1y agoWhat's the saying? > All sciences are just highly abstracted physics
- sjducb 1y agoWhen algorithms improve with exposure to more data are they still algorithms? Where is the line where they stop being algorithms?
- adammarples 1y agoBecause they're algorithms that have an algorithm (back propagation) that improves the other algorithm (forward propagation). Very roughly speaking.
- internet_points 1y agoAnd deep learning is just applied optimization and linear algebra (with a few clever heuristics, learnt by throwing phd students's at the wall and seeing what sticks).