machine learning

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on Google’s Teachable Machine is a Simple and Fun Way to Understand How Machine Learning Works

Google’s Teachable Machine is a Simple and Fun Way to Understand How Machine Learning Works

Artificial intelligence, machine learning, deep learning, neural networks… are all words we hear more and more today, as machines get the ability to recognize objects, answer voice requests / commands, and so on. But many people may not know at all the basics of how machine learning works, and with that in mind, Google launched Teachable Machine website to let people experiment and understand the basics behind machine learning without having to install an SDK or even code. So I quickly tried it with Google Chrome, as it did not seem to work with Mozilla Firefox. It’s best to have audio on, as a voice explains how to use it. Basically you connect your webcam, authorize Chrome too use it, and you should see the image in the input section on the left. After you’re being to train the machine in the learning section in the middle with three difference […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 23 Comments on ARM Cortex-A75 & Cortex-A55 Cores, and Mali-G72 GPU Details Revealed

ARM Cortex-A75 & Cortex-A55 Cores, and Mali-G72 GPU Details Revealed

We’ve already seen ARM Cortex A75 cores were coming thanks to leak showing Snapdragon 845 SoC will feature custom Cortex A75 cores, but we did not have many details. But since we live in a world where “to leak is glorious”, we already have some slides originally leaked through VideoCardz with the post now deleted, but Liliputing & TheAndroidSoul got some of the slides before deletion, so let’s see what we’ve got here. ARM Cortex A75 So ARM Cortex-A75 will be  about 20% faster than Cortex A73 for single thread operation, itself already 30% faster than Cortex A72. It will also be the first DynamIQ capable processor together with Cortex A55 with both cores potentially used in big.LITTLE configuration. Cortex A75 performance is only better for peak performance, and remain the same as Cortex-A73 for sustained performance. The chart above does not start at zero, so it appear as though […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Google Releases Android O Developer Preview 2, Announces Android Go for Low-End Devices, TensorFlow Lite

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

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 15 Comments on Open Source ARM Compute Library Released with NEON and OpenCL Accelerated Functions for Computer Vision, Machine Learning

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

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 […]