China’s prestigious Tsinghua University is opening a dedicated AI research centre. The Tsinghua University Institute for Artificial Intelligence will be led by Dean Bo Zhang (张钹) of the Chinese Academy of Sciences, and Tsinghua Director of Academic Committee Andrew Chi-Chih Yao (姚期智), a Turing Award Laureate. The announcement was made at today’s Tsinghua-Google AI Symposium in Beijing.
Salesforce announces a deeper data sharing partnership with Google. Consumer insights from Salesforce’s Marketing Cloud and Google Analytics 360 will be merged into one dashboard for either platform. Marketing Cloud data can be used to create a more customized web experience.
Microsoft is working on a bias-detecting tool which can alert people if an AI algorithm might be treating them unfairly based on their race or gender. As more and more decisions are being made by or based on AI, the detection of unfair biases has become an important public issue.
Google is looking to expand its AI research activities in the Japanese capital. The company’s deep learning and AI research team Google Brain yesterday posted a “Tokyo job listing seeking talented experts to participate in cutting edge research on machine learning”.
Embedded AI can transform a tabletop speaker into a personal assistant; give a robot brains and dexterity; and turn a smartphone into a smart camera, music player, or game console. Traditional processors, however, lack the computational power to support many of these intelligent features.
Google has announced the release of MusicVAE, a machine learning model that makes composing musical scores as easy as mixing paint on a palette. A breakthrough from Google Brain’s Magenta Project, MusicVAE generates and morphs melodies to output multi-instrumental passages optimized for expression, realism and smoothness which sound convincingly like human-composed music.
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Word2vec is an open source tool developed by a group of Google researchers led by Tomas Mikolov in 2013. It describes several efficient ways to represent words as M-dimensional real vectors, also known as word embedding, which is of great importance in many natural language processing applications
In order to provide personalized ads, tech giants such as Google and Facebook are trying to abstract their users’ personality from their posts on social media. Hence, it is essential for social networking applications to predict personality from written text.
At the 10th Google I/O, held May 17-19 at the Shoreline Amphitheatre in Mountain View, California, Google took a different approach from unveiling exciting new products, by putting its focus on the convergence of existing products, aimed at providing a better user experience.