Google Al reveals its wide repertoire

• Autores: Matt Reynolds
• Localización: New scientist, ISSN 0262-4079, Nº. 3132, 2017, pág. 16
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Deep-learning systems tend to be one-trick wonders: great at the task they were trained to do, but pretty awful at everything else. Now a neural network from Google suggests that AI can be multitalented after all. Most deep-learning systems are built to solve specific problems, such as recognizing animals in photos of the Serengeti, or translating between languages. But if people take, for instance, an image-recognition algorithm and retrain it to do a completely different task, such as recognizing speech, it usually becomes worse at its original job