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May 17, 2018 Advances in Semantic Textual Similarity
Posted by Yinfei Yang, Software Engineer and Chris Tar, Engineering Manager, Google AI The recent rapid progress of neural network-based natural language understanding research, especially on learning semantic text representations, can enable truly novel products such as Smart Compose and Talk to Books . It can also help improve performance on a variety of natural language tasks which have limited amounts of training data, such as building strong text classifiers from as ...
May 16, 2018 Smart Compose: Using Neural Networks to Help Write Emails
Posted by Yonghui Wu, Principal Engineer, Google Brain Team Last week at Google I/O , we introduced Smart Compose , a new feature in Gmail that uses machine learning to interactively offer sentence completion suggestions as you type, allowing you to draft emails faster. Building upon technology developed for Smart Reply , Smart Compose offers a new way to help you compose messages — whether you are responding to an incoming email ...
May 16, 2018 Announcing Open Images V4 and the ECCV 2018 Open Images Challenge
Posted by Vittorio Ferrari, Research Scientist, Machine Perception In 2016, we introduced Open Images , a collaborative release of ~9 million images annotated with labels spanning thousands of object categories. Since its initial release, we've been hard at work updating and refining the dataset, in order to provide a useful resource for the computer vision community to develop new models.
May 11, 2018 MobileNetV2: The Next Generation of On-Device Computer Vision Networks
Posted by Mark Sandler and Andrew Howard, Google Research Last year we introduced MobileNetV1 , a family of general purpose computer vision neural networks designed with mobile devices in mind to support classification, detection and more. The ability to run deep networks on personal mobile devices improves user experience, offering anytime, anywhere access, with additional benefits for security, privacy, and energy consumption.
May 11, 2018 Looking to Listen: Audio-Visual Speech Separation
Posted by Inbar Mosseri and Oran Lang, Software Engineers, Google Research People are remarkably good at focusing their attention on a particular person in a noisy environment, mentally “muting” all other voices and sounds. Known as the cocktail party effect , this capability comes natural to us humans.
May 11, 2018 Automatic Photography with Google Clips
Posted by Aseem Agarwala, Research Scientist, Clips Content Team Lead To me, photography is the simultaneous recognition, in a fraction of a second, of the significance of an event as well as of a precise organization of forms which give that event its proper expression. — Henri Cartier-Bresson The last few years have witnessed a Cambrian-like explosion in AI, with deep learning methods enabling computer vision algorithms to recognize many of the ...
May 10, 2018 Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone
Posted by Yaniv Leviathan, Principal Engineer and Yossi Matias, Vice President, Engineering, Google A long-standing goal of human-computer interaction has been to enable people to have a natural conversation with computers, as they would with each other. In recent years, we have witnessed a revolution in the ability of computers to understand and to generate natural speech, especially with the application of deep neural networks (e.g., Google voice search , WaveNet ).
May 10, 2018 Custom On-Device ML Models with Learn2Compress
Posted by Sujith Ravi, Senior Staff Research Scientist, Google Expander Team Successful deep learning models often require significant amounts of computational resources, memory and power to train and run, which presents an obstacle if you want them to perform well on mobile and IoT devices. On-device machine learning allows you to run inference directly on the devices, with the benefits of data privacy and access everywhere, regardless of connectivity.
May 08, 2018 Deep Learning for Electronic Health Records
Posted by Alvin Rajkomar MD, Research Scientist and Eyal Oren PhD, Product Manager, Google AI When patients get admitted to a hospital, they have many questions about what will happen next. When will I be able to go home? Will I get better? Will I have to come back to the hospital? Having precise answers to those questions helps doctors and nurses make care better, safer, and faster — if a patient’s ...
May 08, 2018 An Augmented Reality Microscope for Cancer Detection
Posted by Martin Stumpe, Technical Lead and Craig Mermel, Product Manager, Google Brain Team Applications of deep learning to medical disciplines including ophthalmology , dermatology , radiology , and pathology have recently shown great promise to increase both the accuracy and availability of high-quality healthcare to patients around the world.
May 08, 2018 Introducing Google AI
Posted by Christian Howard, Editor-in-Chief, Google AI Communications Hmm, have I made a wrong turn? I was looking for Google Research… For the past several years, we’ve pursued research that reflects our commitment to make AI available for everyone. 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.
May 06, 2018 The Question of Quantum Supremacy
Posted by Sergio Boixo, Research Scientist and Theory Team Lead, and Charles Neill, Quantum Electronics Engineer, Quantum A.I. Lab Quantum computing integrates the two largest technological revolutions of the last half century, information technology and quantum mechanics . If we compute using the rules of quantum mechanics, instead of binary logic, some intractable computational tasks become feasible.
May 04, 2018 The Question of Quantum Supremacy
Posted by Sergio Boixo, Research Scientist and Theory Team Lead, and Charles Neill, Quantum Electronics Engineer, Quantum A.I. Lab Quantum computing integrates the two largest technological revolutions of the last half century, information technology and quantum mechanics . If we compute using the rules of quantum mechanics, instead of binary logic, some intractable computational tasks become feasible.
May 02, 2018 Behind the Motion Photos Technology in Pixel 2
Posted by Matthias Grundmann, Research Scientist and Jianing Wei, Software Engineer, Google Research One of the most compelling things about smartphones today is the ability to capture a moment on the fly. With motion photos, a new camera feature available on the Pixel 2 and Pixel 2 XL phones, you no longer have to choose between a photo and a video so every photo you take captures more of the moment.
May 02, 2018 Balanced Partitioning and Hierarchical Clustering at Scale
Posted by Hossein Bateni, Research Scientist and Kevin Aydin, Software Engineer, NYC Algorithms and Optimization Research Team Solving large-scale optimization problems often starts with graph partitioning , which means partitioning the vertices of the graph into clusters to be processed on different machines. The need to make sure that clusters are of near equal size gives rise to the balanced graph partitioning problem.
May 02, 2018 Using Evolutionary AutoML to Discover Neural Network Architectures
Posted by Esteban Real, Senior Software Engineer, Google Brain Team The brain has evolved over a long time, from very simple worm brains 500 million years ago to a diversity of modern structures today. The human brain, for example, can accomplish a wide variety of activities, many of them effortlessly — telling whether a visual scene contains animals or buildings feels trivial to us, for example.
May 02, 2018 Using Deep Learning to Facilitate Scientific Image Analysis
Posted by Samuel Yang, Research Scientist, Google Accelerated Science Team Many scientific imaging applications, especially microscopy, can produce terabytes of data per day. These applications can benefit from recent advances in computer vision and deep learning. In our work with biologists on robotic microscopy applications (e.g., to distinguish cellular phenotypes ) we've learned that assembling high quality image datasets that separate signal from noise is a difficult but important task.
May 02, 2018 Google Faculty Research Awards 2017
Posted by Maggie Johnson, Vice President of Education and University Relations, Google We’ve just completed another round of the Google Faculty Research Awards , our annual open call for proposals on computer science and related topics such as machine learning, machine perception, natural language processing, and quantum computing.
May 02, 2018 Reformulating Chemistry for More Efficient Quantum Computation
Posted by Ryan Babbush, Senior Research Scientist, Quantum AI Team The first known classical “computer” was the Antikythera mechanism , an analog machine used to simulate the classical mechanics governing dynamics of celestial bodies on an astronomical scale. Similarly, a major ambition of quantum computers is to simulate the quantum mechanics governing dynamics of particles on the atomic scale.
May 02, 2018 Expressive Speech Synthesis with Tacotron
Posted by Yuxuan Wang, Research Scientist and RJ Skerry-Ryan, Software Engineer, on behalf of the Machine Perception, Google Brain and TTS Research teams At Google, we're excited about the recent rapid progress of neural network-based text-to-speech (TTS) research. In particular, end-to-end architectures, such as the Tacotron systems we announced last year, can both simplify voice building pipelines and produce natural-sounding speech.