QUALCOMM in Artificial Intelligence Platform
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Summary
Qualcomm's Artificial Intelligence Platform was created to bring machine learning to mobile devices. The platform provides a variety of experiences for smartphones, cameras, and virtual and augmented reality (VR/AR). The Snapdragon 835 smartphone platform has artificial intelligence (AI). The platform aids the camera on mobile devices in recognizing objects and providing a better snap. It also includes a virtual assistant for interacting with the gadget. Qualcomm's AI technology can also help you plan your day and make meal recommendations. Qualcomm also offers the Snapdragon Neural Processing Engine (NPE), a learning technology toolbox designed for developers to increase the workload of deep neural networks on edge devices. The framework provides an efficient platform for developers and OEMs to provide a data-driven experience.
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Features
The Qualcomm® Artificial Intelligence (AI) Engine 6th Generation integrates AI into everything from photography to gaming to connection. The Qualcomm® HexagonTM 780 Processor has been totally redesigned and now has a fused AI-accelerator architecture, bringing the total Qualcomm AI Engine performance to an incredible 26 TOPS.
A new Tensor Accelerator with twice the computation capacity and a Scalar Accelerator with a 50% speed boost is also included in the 6th generation AI engine. Increased performance by up to three times per watt.
The Qualcomm® Neural Processing SDK for artificial intelligence (AI) is intended to assist developers in running one or more neural network models trained in Caffe/Caffe2, ONNX, or TensorFlow on Snapdragon mobile platforms, whether the CPU, GPU, or DSP is used. It saves time and effort when it comes to enhancing the performance of trained neural networks on Snapdragon smartphones.
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Qualcomm Presence in
Artificial Intelligence Platform
Qualcomm has been focusing on bringing ML and AI technologies to various industrial applications. For instance, to enhance the capabilities of the AI platform technology across various industries, such as manufacturing and finance, the company acquired Scyfer B.V., which possesses developed capabilities in ML. Qualcomm also helps bring AI-enabled applications to various industries. Qualcomm has raised a funding of USD 14 million, under Series C, for its BrainOS platform. The platform is a software built with the help of sensors and hardware, designed to offer a basis for creating autonomous robots. Apart from this, the company is working on building AI technologies in various devices, such as robots and cars, to negate the requirement of network or Wi-Fi. Additionally, the company’s consistent efforts in R&D in AI is evident from the fact that it started the Qualcomm Research in the Netherlands in 2014, as well as, acquired Euvision Technologies. Moreover, in 2016, it collaborated with Google to speed up TensorFlow, Google’s open source library. Qualcomm, with the help from the University of Amsterdam, created a research lab. Additionally, in 2017, the company announced its support for deep learning frameworks, such as Caffe2 and TensorFlow.
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