Submitted via IRC for SoyGuest31999
The hybrid study of quantum computers and artificial intelligence, or quantum machine learning, is still in its very early stages. Many of the machine learning algorithms are still theoretical and require large-scale quantum computers to be tested. Still, the marriage between the two has already proven fruitful.
[...] Quantum algorithms could solve problems within AI and vice versa. In addition, quantum theory could help develop more robust AI and help researchers formulate better algorithms. With this technology, we could see groundbreaking research in virtually all areas of study, from cancer research to geopolitics. We could use AI to help scientists solve incredibly nuanced and complex issues.
Source: https://venturebeat.com/2017/10/23/ai-and-quantum-algorithms-together-can-compute-a-better-world/
(Score: 3, Insightful) by Thexalon on Wednesday November 01 2017, @07:56PM (1 child)
And always will be. For several major reasons:
1. Because the people excitedly making pronouncements along these lines on stages and news articles are almost never called to account when their predictions end up being completely and utterly wrong. And even when they are, they made a nice chunk of change making those pronouncements in the intervening 15 years, so what do they care?
2. Research and development is really hard and unpredictable. That's the whole point: If we knew what there was to know about some concept or tool, we wouldn't need to research it!
3. It's often more profitable to turn these kinds of technologies to pointless applications ("What color car should you buy?") rather than useful applications ("What dietary adjustments might make you healthier?").
The only thing that stops a bad guy with a compiler is a good guy with a compiler.
(Score: 0) by Anonymous Coward on Friday November 03 2017, @12:58PM
Ah, a prediction. Let's see what you base it on …
Oops.