Artificial intelligence starves itself to become resource-saving
If one withdraws the basic principles of work from deep-learning AI and gives it time to adapt, the necessity begets ingenuity. The goal of this forced evolution: artificial intelligence that survives despite the tightest resources.
26 Nov 2017 Claudia WitteShare
Current AI systems are quite high-maintenance. They require high computing power, extensive memory and a networked environment.
The application areas for such compact AI systems are diverse. They may prove useful in mobile phones, as these often rely on Internet connections with widely varying bandwidths. The stripped-down AI systems could also provide valuable services for industrial robots or in areas where data protection is critical. With its Go-playing AI
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