The sites that introduce AMP (Accelerated Mobile Pages) and the display speed are topics, and the sites and blogs which are described are increasing. In addition, Google has been promoting Mobile-first Indexing for a long time, and search algorithms seem to consider mobile correspondence and AMP as well. It has also become an environment where AMP can be easily introduced. https://kokai.jp/? am (AG Ver.) Although it is a trial and error, I am introducing AMP to blog (kokai.jp). I'd like to pursue layout and design advantages that make use of display speed (^ ^) Thumbnail of thumbnails of categories and tags (thumbnail), but because it is easy to see and display speed is fast, as a PC browser version AMP Project (Twitter) AMP Project (Official Site) Documents and tools have been enriched as well (^ AMP Project Success Story (AMP Project) that has published AMP pages.
On February 13, Google announced to introduce the open source framework AMP (Accelerated Mobile Pages) formulated in 2015 to Gmail in order to make the Internet experience of mobile terminals faster and more comfortable. The AMP project is planning to deal with Gmail in the latter half of 2018 by formulating "AMP for Email" which extends the function for e-mail. With schedule adjustment free service "Doodle", you can apply by selecting the event participation date in the mail without opening the web page (such as attendance service) (^ ^) For schedule adjustment with friends "Doodle" free service is convenient! Easy Usage Guide (Swiss Channel) An attendance table tool (Adjustment) that allows you to confirm the sessions of events and adjust the schedule by simply sending the URL to members Pintharest (Pinterest) allows you to check your favorite items on e-mail, select and save I can. At Booking.com you can check not only the photos of the hotel on the e-mail, but also check the latest availability. It seems to be useful (^ ^) Since this "AMP for Email" can update interactively and information more easily in the mail in the mail, it seems that a new funny way to use AMP mail will also be expanded ^ ^ ) In order to use the developer preview version of "AMP for Email" with Gmail, you can access the following and sign up. Bringing the power of AMP to email Sign up
On 17th January 2018, we announced "Cloud AutoML", which users can easily customize AI (Artificial Intelligence) service (Google Cloud Machine Learning Engine) offered by Google. The first Cloud AutoML allows you to easily customize machine learning models by adding the new "Cloud AutoML Vision" to the "Cloud Vision API" for image recognition. First, register "teacher data (with metadata)" using the web-based UI. Cloud AutoML Vision lets AI learn new subjects using Transfer Learning. Cloud AutoML Vision does not need big data for learning, because learned image recognition model corresponds to new subject. Specifically, just by registering dozens of "teacher data", you can recognize new subjects. By using Cloud AutoML Vision, user companies will be able to realize image recognition AI specialized for business types and task details without programming. Fei-Fei Li, chief scientist of the Google Cloud AI division said, "The biggest challenge of using AI in general corporations is that we can not secure AI human resources and budgets, even if there is no expert, It is the aim of Cloud AutoML to be able to enjoy it. " Cloud AutoML: Making AI accessible to every business (www.blog.google) Cloud AutoML Alpha Program (services.google.com) sign up https://cloud.google.com/automl/ Demonstration experiments have already been conducted in the United States , URBN (Urban Outfitters), Disney, ZSL (London Zoological Society) etc participate. In any case the usefulness is confirmed. AutoML to optimally design Google's machine learning (AI)
DIY is self-made (self-made), but a kit that looks fun has been released (released) from Google's AIY (Do-it-yourself artificial intelligence) project. Vision Kit (AI camera etc for product) and Voice Kit (product is Google Assistant). The appearance is made of corrugated cardboard so that people around the world can easily try AI service as easily and cheaply as possible in various devices. I also feel the importance of intellectual production like Google and AI First policy (^ ^) aiyprojects.withgoogle.com (Website) These two products are kit, equivalent to eyes, ears and mouth connected with artificial intelligence (AI) is. Image recognition AI's "Vision Kit" is scheduled to be released on December 31, separately requires "Raspberry Pi Zero W", camera "Raspberry Pi Camera 2", microSD card, power adapter and so on. The price is $ 44.99 (about 5,000 yen). "Voice Kit" which corresponds to the smart speaker on sale is sold online at $ 24.99 (about 3,000 yen). It is an assembly kit that you can enjoy learning about cutting edge AI technology (^ ^) In addition to the functions that the kit has from the beginning, using SDK (software development kit) and TensorFlow (machine learning library provided by Google) , Function expansion, customization can be done. With Raspberry Pi, you can add state-of-the-art AI technology more easily. It is an important field of 21st century type digital skills which is an infinite possibility to question our creativity. Google AIY Vision Kit (Micro Center Web Store) Reservation Inquiries YouTube is an explanatory video about the Google AIY Voice Kit (1/3).
On October 5, Google 's event "Made by Google 2017" introduces products of new ideas with AI (artificial intelligence) as the key word. Using AI, a new smartphone "Pixel 2 / XL" realizing portrait mode (a picture with a blurred background) with a monocular camera, "Pixelbook" 2 in 1 note, automatically cuts a definite momentary shutter "Google Clips" small camera built in AI cameraman, and wireless earphone "Google Pixel Buds" simultaneous real-time translation in 40 languages. (See YouTube) Particularly noteworthy are the AI camera (Google Clips) and the 40-country translation AI earphone (Google Pixel Buds). This is a new fun product embodying Google's "transition to AI First world" (^ ^) Google's "autonomous search engine" and "autonomous traveling car" are also the same, but the user's intention and annoyance Understanding and "attracting all scenes" will be noted as a product group of new ideas. The AI mini camera "Google Clips" is a place to worry about "name photographer" or "stray photographer" (^^) The Verge (YouTube) is an AI mini camera (Google Clips) (6 minutes 42 seconds) I will explain Google Pixel Buds (3 minutes 43 seconds) in an easy-to-understand manner (continuous playback). It is a bit disappointing that AI earphone is compatible only with Pixel series .... The best hardware, software and AI-together (blog.google) Teachable Machine (teachablemachine.withgoogle.com) "Machine learning" experience with browser The Google version of the Japanese version has been on sale from October 6th (Fri), and Google Home Mini Will be available for purchase from the Google Store etc. from October 23 (Monday). For Mini, it seems that we accept purchase reservation from October 6th. Google announcement summary. New smartphone Pixel 2, 40 language translation earphone, AI photographer etc. many new product (engadget Japan version) Google Home and
Google acquired AIMATTER of mobile AI real-time image processing startup. Based on Belarus, AIMATTER's own self-shooting image processing application "FABBY" can perform color processing, such as color adjustment, color, mask, background and makeup design, with AI. In "FABBY LOOK", hair color can be instantly switched. The left of the demonstration movie is "FABBY" and the right is "FABBY LOOK". The AIMATTER site says "the world's fastest mobile AI real-time image processing", it is said to be three times faster than the open source deep learning library Caffe and TensorFlow. For real-time image processing by machine learning (AI) under mobile environment, it seems that optimization design of a program different from cloud environment AI image processing is required (^ ^) We excited to announce that the team is joining Google! (AIMATTER News) AIMATTER (Website) Android / iOS version application Available Google acquired AIMatter, which made the computer vision application Fabby, used for advertisement technology innovation (TechCrunch Japan)
Anki's Cozmo is an adorable AI robot toy that recognizes your face, interacts with you, playing games together, understanding you as a relationship. When looking at the face of Cozmo rich in emotional expression, it looks a lot like Eve (movie Wallie) (original title: WALL-E) (^ ^) Updated "Cozmo" application on June 26 It was announced that a new "Code Lab" function for children was added. This "Code Lab" is based on "Scratch Blocks" developed by MIT Media Lab and Google. Keeping in mind that children are easy to understand, we are beginning with providing "dozens of programming blocks" using "horizontal method" that allows easy coding. Scratch for developers (scratch.mit.edu) Japanese Anki has also carried out full-scale update this autumn, adding "vertical method" capable of more complicated programming to "Code Lab", and now It is planned to provide the fully functional Python SDK to "Cozmo SDK" released in 2016. Anki's adorable AI robot toy "Cozmo" released
In order to develop a machine learning (AI) program suitable for the purpose, it was necessary to design and code an optimum algorithm by many specialized software engineers. At Google, we are advancing the optimum design approach of machine learning program called AutoML (Auto Machine Learning). It seems that this AutoML automatically generates a machine learning program, and it seems to be talked about becoming the subject of no specialized software engineer (^ ^) It is already the optimum machine learning program for learning languages and image recognition We are conducting research and testing to search the design with AutoML. As a result, in the field of image recognition, it seems that the design using AutoML is comparable to that of experts, and the language translation completely exceeds the experts in language translation. AutoML is used to develop machine learning programs that execute specific tasks, including applications such as Google Lens (Google lens) published at Google I / O. Furthermore, as a result of repeating the process of making a machine learning program with AutoML thousands of times, it seems that a new learning effect is born, such as recognition function being reinforced and unexpected variables being complemented. Google's Thunder Pichaai asked questions about the timing of the commercialization of AutoML "In the next five years or so, designing a machine learning program tailored to my purpose without knowing any coding or computer language at all (^^) Using Machine Learning to Explore Neural Network Architecture (Google Research Blog) AI Creates AI!? Google Launches a New Approach "AutoML" (Robotire) Easily Unveiled "Cloud AutoML" that can be customized (Google)
"Google Car" developed in-house by Google from the body in 2014 was called a core racer (koala car) or a gumdrop (gumdrop) from a pretty style of a two-seater without handle and pedal (^ ^) Waymo under the control of Alphabet seems to call it firefly nickname, but we announced that we will finish the development of this advanced design fully automated driving car firefly (Firefly). From now on, we will focus on the development of mass-produced car Chrysler Pacifica Hybrid minivans, which is capable of "manual and automatic switching", with a new AI platform which took over Firefly's automatic driving system and greatly improved its performance We are announcing that we will do. It seems that the pretty core racer runs has relaxed the high-tech image of artificial intelligence (AI)'s automatic traveling car and has established itself as a friendly technology for children, disabled people and the elderly. Of course, it contributes to the accumulation of traveling data necessary for automatic operation and improvement of hardware and software. Several Firefly seem to be on display at California's Computer History Museum and the London Design Museum. Although it is a bit lonely, in the future this design may be reinstated (^ ^) From post-it note to prototype: The journey of our Firefly (Waymo / Medium) Google's Waymo handle and pedal-free automatic driving car "Firefly" (Gigazine) The new "Google Car" is developed from its own body by its own company
Google announced the second-generation TensorFlow Processing Unit (TPU) optimized for machine learning at the annual developer conference "Google I / O 2017" and the cloud service "Cloud TPU" using it. CEO of Sundar Pichai said, "Machine learning and the evolution of AI are pressing the review of the computer architecture, we are building the AI First Data Center for that," and " It is 15 to 30 times faster than CPU and GPU and power efficiency is 30 to 80 times higher. " The picture is a single "Cloud TPU" board, with four chips here and it has the capacity of 180 teraflops (180 trillion operations per second) per board. Within the data center, we compiled 64 "TPU Pods", which means that we have the capacity of 11.5 petaflops (1.15 Kyoto operation per second) per pod. Supercomputer "Kyo" of RIKEN is named "Kyo" because it can perform one Kyoto calculation per second. According to Google's Jeaf Dean, when processing the learning of the machine translation model using one-eighth of the ability of "TPU Pods", "If you use 32 fastest GPUs that are currently on sale, Processing took one day has been completed in the afternoon while keeping the same translation accuracy in the TPU pod. " Build and train machine learning models on our new Google Cloud TPUs (Google Blog) Google I / O'17: Google Keynote (YouTube) TensorFlow Even for Middle School Students Introduction to TensorFlow Part 1 What is Tensor (qiita.com) Google, Mobile from AI To the First world (Sundar Pichai)
The artificial intelligence AlphaGo (Alpha Go) who broke the top players in March 2016 and shocked the world of the Go has been playing with China's Kei Kei (Ka Ketsu) Kudan who is currently called the world's strongest professional players and 5 We will compete at "Future of Go Summit" to be held in China's Kora Town on February 23rd to 27th. In January 2017 AlphaGo Improvement Version (Master) won the game against the top players against the top with tests on the net with their identity lying down, but this was the fastest goal to take advantage of the speed of AI. The game at Future of Go this time is a traditional three-player match, it will be a game against AlphaGo's ability against the top of a pro shogi player. Mr. Kei said that after AlphaGo won the I-Cedor Nine-stage, "If you can win AlphaGo, you can win." "At the press conference in Beijing," The game is very honored, AlphaGo is also called the opponent who visited from the future, but I have a feeling of victory. " The victory of AI AlphaGo (Alpha Go) to "elucidation of intelligence" (3/16, 2016 Nobuyuki Kokai) Google Deep Mind's Demis Hassabis said, "There is still some thing left to learn from the top players and AI's competition To pursue that possibility, we will hold a 5-day Go and AI celebration in China, the birthplace of Go, "he said in a blog. Go Ratings (Website) Games: 63344, Players: 1822 Google's "AlphaGo" and the world's strongest players in the world playing game confrontation will be held in May (Gigazine)
Google announced the JPEG encoder Guetzli (Guetzli) which adopts a new compression algorithm. Compared to normal compression processing, Google says it can produce a JPEG image that is 35% smaller, while preserving image quality. Image comparison is order of uncompressed original, libjpeg, Guetzli from left to right. The quality of JPEG images is closely related to multistage compression processes such as color space conversion, discrete cosine transform, and quantization (Quantization). The Guetzli encoder uses a search algorithm to absorb the difference between the conventional psychovisual model and Guetzli's unique psychovisual model, targeting small file sizes such that the state of good quality can not be kept conventionally at the stage of quantization By doing so, I balance the image quality and the file size. In this image comparison, the order from the left is original, Guetzli, libjpeg in turn. According to the evaluation by the human tester conducted by Google, although it takes time to generate images using Guetzli, it seems to have been more impressive. Google says, "It is worth waiting for compression time if only this picture quality." Also, Guetzli's psychovisual approach reduces loading time and bandwidth cost for mobile users, and expects sites with high image to be smooth. Announcing Guetzli: A New Open Source JPEG Encoder (Google Research Blog) Guetzli: Perceptually Guided JPEG Encoder (arxiv.org) google / guetzli: Perceptual JPEG encoder (GitHub) Mozilla is also working on improving the compression ratio of JPEG, And has developed an encoder "mozjpeg" with high compression efficiency. mozilla / mozjpeg: Improved JPEG encoder (GitHub) Announcing a new encoder "Guetzli" to reduce Google and JPEG by 35%. Image quality is the same and file size reduction (Engadget Japan version)