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After the first Android O developer preview released in March, Google has just released the second developer preview during Google I/O 2017, which on top of features like PiP (picture-in-picture), notifications channels, autofill, and others found in the first preview, adds notifications dots, a new Android TV home screen, smart text selection, and soon TensorFlow Lite. Google also introduced Android Go project optimized for devices with 512 to 1GB RAM. Notifications dots (aka Notification Badges) are small dots that show on the top right of app icons – in supported launchers – in case a notification is available. You can then long press the icon to check out the notifications for the app, and dismiss or act on notifications. The feature can be disabled in the settings. Android TV “O” also gets a new launcher that allegedly “makes it easy to find, preview, and watch content provided by apps”. The […]

GPU compute promises to deliver much better performance compared to CPU compute for application such a computer vision and machine learning, but the problem is that many developers may not have the right skills or time to leverage APIs such as OpenCL. So ARM decided to write their own ARM Compute library and has now released it under an MIT license. The functions found in the library include: Basic arithmetic, mathematical, and binary operator functions Color manipulation (conversion, channel extraction, and more) Convolution filters (Sobel, Gaussian, and more) Canny Edge, Harris corners, optical flow, and more Pyramids (such as Laplacians) HOG (Histogram of Oriented Gradients) SVM (Support Vector Machines) H/SGEMM (Half and Single precision General Matrix Multiply) Convolutional Neural Networks building blocks (Activation, Convolution, Fully connected, Locally connected, Normalization, Pooling, Soft-max) The library works on Linux, Android or bare metal on armv7a (32bit) or arm64-v8a (64bit) architecture, and makes use […]

machine learning

Google Releases Android O Developer Preview 2, Announces Android Go for Low-End Devices, TensorFlow Lite

Open Source ARM Compute Library Released with NEON and OpenCL Accelerated Functions for Computer Vision, Machine Learning