The main trick relies on the quantum spin properties of cobalt atoms. When cleverly organized into “networks,” the result is a “quantum brain” that can process data and save it inside the same network structure—similar to how our brains work. To sum up: it’s a path towards a true learning machine.
That’s great news for AI. Powerful as it is, machine learning algorithms are extremely energy-hungry. While the tech giants have massive data centers tailored to process computational needs, it’s inefficient and generates a huge carbon footprint. More troubling is when experts look ahead. Although computing prowess has doubled every year and half to two years—known colloquially as “Moore’s law”—recent observations show that it may be on its last legs.
https://singularityhub.com/2021/02/09/the-next-ai-hardware-could-be-a-quantum-brain/
Kvanttiteknologian avulla pyritään nopeuttamaan tekoälyä. Tämä on ihan alkutekijöissään mutta osoittaa, että ainakin jollain tasolla on mahdollisuuksia saavuttaa valtava tehonlisäys. Perinteinen tekoäly on prosessori- ja muistikapasiteetin rajoittamaa.
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