Want to be smarter? AI also needs deep learning

Recently, "Google's AI Voice Assistant (Google Assistant) scheduled a haircut and restaurant demo" news firmly occupied the front page of the social platform, this "net red" AI voice assistant can call the phone according to the owner's needs to book a haircut And the restaurant, and have not let the business listen, this is the AI ​​smart assistant that we are in daily contact with, only through fixed scene settings such as: weather query, news search and other simple operations have obvious differences, but the realization of this technology Does it mean that the future artificial intelligence can really be applied to our lives?

Want to be smarter? AI also needs deep learning

Here, give everyone a positive answer: it is ok. In the future, your AI assistant will have a richer vocabulary. Not only can you recognize the tone and your little emotions, but even helping you to book a familiar hairdresser and a frequent restaurant in advance will become a basic operation. And for all future applications, you need the help of AI "deep learning". After deep learning terminal artificial intelligence, you can simulate "deep neural network", which means that it can simulate the connectivity of our human brain. The data sets are sorted and gradually found some correlation between them. Imagine that if you have new learning knowledge, the machine can apply insights to other data sets. Like snowballing, the more data the machine processes, the more accurate its predictions will be. You can understand it as: practice makes perfect.

Want to be smarter? AI also needs deep learning

Collaborative and enhanced integration to help terminal intelligent development

When it comes to neural networks, you have to mention Qualcomm, which started the research more than a decade ago. Now it integrates artificial intelligence into hundreds of millions of products every year to support seamless, personalized and predictable labor. Intelligent experience. At the Qualcomm Artificial Intelligence Innovation Forum on May 24th, Qualcomm announced that it will conduct all frontier artificial intelligence research within the company to carry out collaborative and intensive integration across various functional departments.

For this big move, Qualcomm's reply is "to gather the best talents in the industry and build a road map for artificial intelligence software and hardware platforms together." On the one hand, it can give each industry elite a platform for communication and learning to complement each other; on the other hand, in the case of integrating existing resources, innovators can take the opportunity to learn from each other, communicate, and collide new ideas for more. Artificial intelligence in the field provides innovative solutions.

Basic research to create commercial solutions

At present, Qualcomm is actively promoting exchanges between research groups through academic journals, participation in technical conferences and academic cooperation projects. Moreover, it has a wealth of resources, relying on the platform's leading position in the field of connectivity and computing, and has opened up diversified research work involving energy-efficient artificial intelligence, personalization and efficient data learning. These basic research have helped to create multiple Commercial solutions for smartphones, cars and the Internet of Things (IoT).

In the context of integrating existing resources and having professionals in various fields, Qualcomm will bring us more commercial solutions for artificial intelligence in the future, and lay the foundation for the terminal-side intelligence to expand to more new industries. Maybe one day in the future, we can really have a smart assistant like Iron Man's "Javis" to help us deal with the trivial things in life!

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