Apple is ramping up its ambitious AI strategy, announcing today that John Giannandrea — the former Google AI Chief that Apple poached this April — has joined the company’s executive team as Senior Vice President of Machine Learning and Artificial Intelligence Strategy.
In the past two weeks, news related to the field of human-computer interaction and voice interaction has been focused on technology giants Amazon and Google. Amazon upgraded its Fire TV Cube and the Amazon Music system, which enhances the diversity of voice interactions.
In 2016 Google’s DeepMind stunned the world when their Go computer AlphaGo secured a historic victory over Korean grandmaster Lee Sedol. Yesterday the UK’s top AI team delivered their latest “wow moment” as their AI system AlphaFold topped the Critical Assessment of Structure Prediction (CASP) competition.
“Best GAN samples ever yet? Very impressive ICLR submission! BigGAN improves Inception Scores by >100.” The above Tweet is from renowned Google DeepMind research scientist Oriol Vinyals. It was retweeted last week by Google Brain researcher and “Father of Generative Adversarial Networks” Ian Goodfellow, and picked up momentum and praise from AI researchers on social media.
Georgia Tech and Google Brain researchers have introduced the new interactive tool GAN Lab, which visually presents the training process of complex machine learning model Generative Adversarial Networks (GANs). Even machine learning newbs can now experiment with GAN models using only a common web browser.
Anglian Water plans to install an AI-based energy storage machine system in its water treatment facilities. The system will provide a real-time energy consumption balancing service and increase the lifespan of storage machines. The AI system was designed by Open Energi and is expected to be full operational by next year.
Blockchain hardware, software, and services company Bitmain confirms it will build a data center in Rockdale, Texas and invest US$500 million in the United States over the next seven years. Bitmain will launch a local training program and hire more than 400 employees.
When robots need a brain, their creators turn to Silicon Valley. Most of the AI tech that drives advanced robotics originates in Bay Area labs. At last month’s ReWork Deep Learning for Robotics Summit in San Francisco, researchers from Silicon Valley AI labs and institutes discussed their latest work and how it is being used to teach robots. Synced was onsite to bring you an inside look at their work.
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.