Leading market players are investing heavily in research and development to expand their product lines, which will help the advanced authentication market, grow even more. Market participants are also engaging in various strategic measures to grow their businesses, and global footprint, with important market developments including contractual agreements, new product launches, mergers and acquisitions, higher investments, and collaboration with other organizations. The neural network software industry must offer cost-effective items to expand and survive in a more competitive and rising market climate.
Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the global neural network software industry to benefit clients and increase the market sector. In recent years, the neural network software industry has offered some of the most significant medical advantages. Major players in the advanced authentication market, including Oracle Corporation, Qualcomm Technologies, SAP SE, IBM Corporation, Microsoft Corporation, Intel Corporation, Google, Alyuda Research LLC, Neural Technologies Ltd., Starmind International AG, Neuralware, Ward Systems Group Inc., and others, are attempting to increase market demand by investing in research and development operations.
Qualcomm's Neural Processing Engine (NPE) is a key component that enables AI and ML capabilities on their Snapdragon processors, which are widely used in smartphones, tablets, IoT devices, and other consumer electronics. The NPE is a software framework that provides a set of APIs (Application Programming Interfaces) to efficiently run neural network models on Qualcomm's hardware, such as the Adreno GPU or Hexagon DSP (Digital Signal Processor), which are designed to accelerate AI workloads.
For instance, in June 2022, to further its leadership in AI and connected intelligent edge, Qualcomm Technologies integrated its existing best-in-class AI software products into a single package, the Qualcomm AI Stack. This will enable OEM clients of Qualcomm Technologies and developers to fully use the Qualcomm AI Engine's performance while developing, improving, and deploying their AI applications on Qualcomm Technologies' hardware.
Google's AI and neural network software offerings are part of a broader AI ecosystem, and the company actively contributes to open-source projects and supports AI research and development across various domains. As AI technology continues to evolve, Google is likely to keep innovating and expanding its neural network software tools to empower developers and researchers in the AI community. For instance, in May 2022, to speed up performance testing in graph neural networks (GNNs), Google AI launched GraphWorld.
It offers a novel GNN architectural testing and design method by enabling artificial intelligence (AI) developers and researchers to test new GNN architectures on bigger graph datasets.
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