Purdue University engineers have addressed an issue barring the development of quantum networks that are big enough to reliably support more than a handful of  users. The method, demonstrated in a paper published in Optica, could help lay the groundwork for when a large number of quantum computers, quantum sensors and other quantum  technology are ready to go […]

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Artificial intelligence (AI) is evolving rapidly, with new neural network models, techniques, and use cases emerging regularly.  While there is no single architecture that works best for all machine and deep learning applications, FPGAs can offer distinct advantages over GPUs and other types of hardware in certain use cases. FPGA DEEP LEARNING BENEFITS:  • FPGAs offer incredible flexibility and cost efficiency […]

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Ethernet is widely used for all kinds of applications. However, for demanding multimedia streaming applications in a fully-loaded network, Ethernet is not the right choice due to its limited Quality-of-Service (QoS) support.  IEEE 802.1 Audio/Video Bridging (AVB) standard, an extension to legacy Ethernet, provides the QoS features needed for multimedia streaming such as time synchronized […]

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Back in 2017, Apple introduced the A11 which included their first dedicated neural network hardware that Apple calls a “Neural Engine.” At the time, Apple’s neural network hardware was able to perform up to 600 billion operations per second and used for Face ID, Animoji and other machine learning tasks. The neural engine allows Apple to implement neural network […]

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This blog focuses on how full-scale modeling and simulation is  used to achieve the Quality-of-Service such as packet loss, throughput, bit rate etc. QoS (Quality of Service) refers to all such mechanisms or tools ensuring critical applications requiring real-time data (usually audio or video) get sufficient dedicated bandwidth, with priority over other applications. It is extremely […]

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