Google is opening its AI-powered search experience to teens. In addition, the company's Search Generative Experience (SGE) is adding new context pages to shed light on generated responses and individual web links within answers. The company is opening its search-based AI tool to US teenagers between 13 and 17. Google says it received "particularly positive feedback" from 18- to 24-year-olds who tested SGE, which influenced its decision. SGE has been available as part of Google Search Labs since late May. Google says it has added safeguards to prevent inappropriate or harmful content based on its research with experts in teen development.

In order to make it easier for developers to train PaLM to carry out specific tasks, Google is launching a new app alongside the PaLM API called MakerSuite. "With MakerSuite, you'll be able to iterate on prompts, augment your dataset with synthetic data, and easily tune custom models," said the company in a press release. Google says this sort of fine-tuning, which is necessary to create a consumer-friendly AI system, can even be done in a browser, with the computationally intensive work of training and deployment handled by Google Cloud.

At its annual Google for India event in the capital of New Delhi today, the search giant announced it's opening an AI research center in Bangalore, led by scientist Dr. Manish Gupta, an ACM Fellow and Infosys Foundation Chair Professor at IIIT Bangalore. The center, called Google Research India, will focus on tools that can be used by government and private entities. The company wants to work with local talent in the field of machine learning, computer vision, languages, speech, systems, and several other related areas. Along with Gupta, Google has appointed Professor Milind Tambe from Harvard University as a director of AI for social good. The company said one set of people working at the center will focus on fundamental AI research by publishing papers and building a strong community in the country, while another group will work on big problems in fields like healthcare, and,education, and also apply their ideas to "make apps and services used by billions of people more helpful."

It is not the first center dedicated to artificial intelligence (AI) that inaugurates, but it is the first of these characteristics that it establishes in China. Google, in the middle of Google Developer Days event in Shanghai, has introduced its Google AI China Center "to work with the best artificial intelligence talent, wherever that talent is" and "to help find solutions to the world's problems" . The new Google AI China Center will materialize through a team of researchers specialized in artificial intelligence in Beijing . These professionals will have the help of the engineers that Google has in China. Fei-Fei Li, head scientist of artificial intelligence and machine learning in Google Cloud, will be responsible for directing and coordinating the work at the center with Jia Li, who will act as head of research and development of Google Cloud AI.

Two months after rolling out its digital assistant, Google is opening its doors to outside developers to help the company chase rivals, particularly Amazon.com On Thursday, the Alphabet Inc. unit launched a system for developers to build chatbots that work with Google Assistant, its voice-based virtual helper. The tools, called Conversation Actions, will let companies and other third parties interact with Google users by building bots that answer questions and, eventually, sell and book things through voice controls. Developers can seek approval for phrases that come after "Ok, Google" (the words that summon the Assistant) to launch the interactive bots. So, in the future if someone says, "Ok, Google, talk to Target," a chatbot for the retailer might appear and help the person buy things through a conversation, for example.

This video blew me away with the simple visualization of AI. Is there any good source about AI subfields and relations between them? How Close Are We To Immortality?

There may now be an easier way to implement advanced machine learning models in your projects. Google has opened up its Cloud Machine Learning to all businesses in a public beta, after a few months of testing it in private alpha. The tool makes it easier to train models at a much faster rate, and is integrated with the Google Cloud Platform. This has applications for businesses in areas such as customer support (learning how to automate responses to a variety of queries and complaints) or any kind of repetition-heavy task. In a blog post, Google described how its customer Airbus Defense and Space used the tool to automate the detection and correction of satellite images that contain imperfections such as cloud formations.

Artificial intelligence and machine learning are going thoroughly open source, with some of the biggest tech companies contributing projects to the community. Recently, I covered Google's decistion to open source a program called TensorFlow. It's based on the same internal toolset that Google has spent years developing to support its AI software and other predictive and analytics programs. Now, in a follow-on move, Google is open sourcing SyntaxNet, which is natural-language understanding software that can automatically parse sentences. SyntaxNet is part of its TensorFlow open source machine learning library, and is hardened and tested by Google.

As Apple plays catch up in many ways, the Mountain View company is doubling down on machine learning efforts that will play an important role in future products. Earlier this week, Google launched a dedicated Machine Learning research group in Europe. Google Research, Europe is based out of the company's Zurich office -- which is already home to the company's largest engineering presence outside of the US. Googlers there were responsible for developing the engine that drives Knowledge Graph and are currently working on the conversation engine that powers the upcoming Google Assistant in Allo. Engineers will specifically focus on natural language processing & understanding, machine intelligence, and machine perception.

Google announced this morning it's opening a dedicated machine learning research center in Europe, which will be based in its Zurich office. The center will focus on the development of products and research in the areas of Machine Intelligence. Specifically, says Google, it will research ways to improve machine learning infrastructure as well as how to put it into practical use. Researchers will also work with linguists to advance Natural Language Understanding – machines' ability to understand and process human language. Google's Zurich office was already home to a lot of activity in this area, the company notes.