QUALCOMM in Artificial Intelligence Platform

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Qualcomm assists in the development of AI-enabled applications for a variety of industries. The company has been concentrating on applying machine learning and artificial intelligence (AI) to a variety of industrial applications. For example, the business bought Scyfer B.V., which has established capabilities in machine learning, to increase the capabilities of the Artificial Intelligence Platform technology across numerous industries, such as manufacturing and finance. Qualcomm is focusing on integrating AI technology into a variety of devices, including robots and autos, to eliminate the need for a network or Wi-Fi connection. Furthermore, the company's consistent efforts in AI R&D may be seen in the fact that Qualcomm Research was founded in the Netherlands. The company collaborated with Google to speed up TensorFlow, Google’s open-source library. Qualcomm established a research lab with the assistance of the University of Amsterdam. In addition, the company revealed that deep learning frameworks such as Caffe2 and TensorFlow will be supported.

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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.


You can request a full demo on their website. You can contact them through email or phone for an understanding of the functionalities of this tool.


Detailed pricing for this company has not been disclosed, but it is in line with leading competitors in the market. Most software companies and vendors require you to contact them with details so they can offer competitive personalized pricing based on your needs. For the best pricing plans, contact the vendor. 


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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    Solutions Offered
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    No. of Innovations
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    R&D Spend
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    Brand Recognition
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    Customer testimonials
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    Managed Services
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    Professional Services
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    New Product Launches
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    Product Upgradation
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    Full Time Equivalent
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    Large Enterprises (Revenue> 500 Million)
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    Machine Learning
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    Medium sized enterprises
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    Natural Language Processing
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    Per User Basis
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    Small Enterprise (Revenue< 100 Million)
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    Subscription / Licensing
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    Artificial creativity
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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