Wednesday, 15 August, 2018

Google enables developers to integrate machine learning into their apps

Google has built AI that will optimize itself for customers Google has built AI that will optimize itself for customers
Doris Mccormick | 18 January, 2018, 14:54

Increased accuracy: Cloud AutoML Vision is built on Google's leading image recognition approaches, including transfer learning and neural architecture search technologies.

Users can upload groups of images and Google's software will tag images and train ML models based on their own content. For now, it is providing a user-friendly service for building an advanced image-recognition system, which can be used for identifying certain pictures based on a set of conditions.

During Google's I/O developers conference in May, CEO Sundar Pichai highlighted the company's goal of helping customers apply AI and machine learning to a broader array of daily tasks ranging from email and job hunting to healthcare and virtual reality. To lower the barrier of entry and make the AI available to all the developers and businesses around, Google has now introduced Cloud AutoML.

The company plans to release a series of services under the Google AutoML banner.

JJ Abrams Is Shopping a New Sci-Fi TV Drama to HBO & Apple
Her father follows his daughter into this other place and presumably, we'll all be off on a journey of odd new discoveries there. If and when the show is picked up, it would be the first TV show Abrams will have has created and written since Fringe .


Ronaldinho Officially Retires From Playing Football
Ronaldinho's versatility meant he excelled as an attacking midfielder, winger and forward throughout his career. Assis suggested his brother may play in some farewell matches, including one with the Brazil national team.


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The Weekend and G-Eazy have ended their H&M partnerships over the ad. "H&M is no longer welcome in South Africa", Tshwane said. The family have moved out of their house in Stockholm following "security concerns" Mrs Mango added. 'I know what racism is.


The company introduced a new tool - Cloud AutoML - on Wednesday meant to make it easier to deploy AI in business applications. Users do not need to worry about scaling the model on a distributed system, tuning the model to achieve high performance, or retraining the model to account for changes in the world. The Google cloud-computing requires that humans label the data before the system learns it.

Artificial intelligence has become quite accessible for enterprises thanks to cloud services such as Google Inc.'s Vision API that offer pretrained machine learning models on-demand.

Access to AutoML is now restricted, and users have to request access to the service through this form. While they did not provide details on what those services would cover, such applications could cover such areas as video, speech, text analysis, or translation. It's unclear how Google plans to monetize AutoML at this point.

In their blog post, Li and Li quoted Alan Rosenwinkel, a data scientist with Urban Outfitters' parent company, who said, "M$3 anually creating product attributes is arduous and time-consuming". D in machine learning to be able to use the computer algorithm. "These annotations are being integrated into their search engine to enhance the impact on Guest experience through more relevant search results, expedited discovery and product recommendations on shopDisney", it said. Currently, the ZSL uses people to manually analyze and annotate millions of images per year, " which is a labour-intensive and expensive process", says Sophie Maxwell, ZSL's conservation technology lead. Along with voice assistants like Siri, Cortana and Google Assistant; Spotify's Discover Weekly playlists, Gmail's smart replies and even Google's personalised search results are all examples of this helpful technology that you might have encountered.

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