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Google Artificial Intelligence (AI)- The Overview You Need To Know-Guruztech

Google AI- The Overview You Need To Know-Guruztech

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The newly relaunched news curation service will use “a new set of  Google AI techniques to take a constant flow of information as it hits the web, analyze it in real time and organize it into storylines.

“This approach means Google News understands the people, places and things involved in a story as it evolves, and connects how they relate to one another,” he wrote.

Silicon Valley’s biggest tech companies are all vying to become the leading digital news platform, and all use google AI to curate content. But Google says the new Google News will go even further than others in harnessing the power of machine learning.

In the wake of the rise of fake news spread by platforms like Facebook during the 2016 election and general fears about social media’s effects on the way people consume news and information, there is likely to be intense scrutiny on how Google’s AI performs.

The Google researchers automated the design of machine learning models using an approach called reinforcement learning. AutoML acts as a controller neural network that develops a child AI network for a specific task. For this particular child AI, which the researchers called NASNet, the task was recognizing objects — people, cars, traffic lights, handbags, backpacks, etc.

“From computer vision to healthcare research to AutoML, we have increasingly put emphasis on implementing machine learning techniques in nearly everything we do at Google,” writes Google’s Christian Howard in a post announcing the change. “Our research has been core to the development and integration of these systems into Google products and platforms. To better reflect this commitment, we’re unifying our efforts under “Google AI”, which encompasses all the state-of-the-art research happening across Google.”

Google seems to imply that further non-AI research will also be housed in the new AI hub, although it’s not really clear how much support and interest there will be for more work in other fields, or if everything now will need to have an AI angle to be progressed. (We’re asking and will update with a response when and if we get it.

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These concerns still hover over the world of machine learning. The truth is that even the experts don’t completely understand how neural nets work. But they do work. If you feed enough photos of a platypus into a neural net, it can learn to identify a platypus. If you show it enough computer malware code, it can learn to recognize a virus. If you give it enough raw language—words or phrases that people might type into a search engine—it can learn to understand search queries and help respond to them. In some cases, it can handle queries better than algorithmic rules hand-coded by human engineers. Google (AI)Artificial intelligence is the future of Google Search, and if it’s the future of Google Search, it’s the future of so much more.

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