The feasibility of a commercial quantum computer was discussed in a prior blog. It was also mentioned that an internet quantum computer service is feasible. While companies like D-Wave in Canada is a commercial quantum computer company, their customers typically ask for build-to-order machines.  Several companies, such as Microsoft, Intel, and IBM have internet-based quantum […]

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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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