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Week in Review: IoT, Security, Auto

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Internet of Things Release 3 is published by oneM2M, the worldwide Internet of Things interoperability standards initiative. The third set of specifications deals with 3GPP interworking, especially as it relates to cellular IoT connectivity, among other features. The release is said to enable seamless interworking with narrowband IoT and LTE-M connectivity through the 3GPP Service Capability Exposure Function. More information is available here. FogHorn Systems says its Lightning Edge Industrial IoT platform received Industrial Software Competency status from Amazon Web Services, attesting that the software is capable of working in product design, production design, production, and operations.


Neuromorphic Chipsets - Industry Adoption Analysis

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Von Neumann Architecture Neuromorphic Architecture Neuromorphic architectures address challenges like high power consumption, low speed, and other efficiency-related bottlenecks prevalent in the traditional von Neumann architecture Architecture Bottleneck CPU Memory Neuromorphic architectures integrate processing and storage, getting rid of the bus bottleneck connecting the CPU and memory Encoding Scheme and Signals Unlike the von Neumann architecture with sudden highs and lows in the form of binary encoding, neuromorphic chips offer a continuous analog transition in the form of spiking signals Devices and Components CPU, memory, logic gates, etc. Artificial neurons and synapses Neuromorphic devices and components are more complex than logic gates Versus Versus Versus 10. NEUROMORPHIC CHIPSETS 10 SAMPLE REPORT Neuromorphic Chipsets vs. GPUs Parameters Neuromorphic Chips GPU Chips Basic Operation Based on the emulation of the biological nature of neurons onto a chip Use parallel processing to perform mathematical operations Parallelism Inherent parallelism enabled by neurons and synapses Require the development of architectures for parallel processing to handle multiple tasks simultaneously Data Processing High High Power Low Power-intensive Accuracy Low High Industry Adoption Still in the experimental stage More accessible Software New tools and methodologies need to be developed for programming neuromorphic hardware Easier to program than neuromorphic silicons Memory Integrated memory and neural processing Use of an external memory Limitations • Not suitable for precise calculations and programming- related challenges • Creation of neuromorphic devices is difficult due to the complexity of interconnections • Thread limited • Suboptimal for massively parallel structures Neuromorphic chipsets are at an early stage of development, and would take approximately 20 years to be at the same level as GPUs. The asynchronous operation of neuromorphic chips makes them more efficient than other processing units.


Week In Review: Auto, Security, Pervasive Computing

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Huawei is also now the world's largest supplier of smartphones, surpassing Samsung Electronics Co. Qualcomm also announced a super-fast charging platform this week for Android devices that is supposed to charge a battery to 50% full in 5 minutes, and 100% full in 15 minutes. Xilinx wants to help drive open, interoperable, and adaptable Radio Access Network (RAN) 5G technologies. The company this week joined the Open RAN Policy Coalition, an organization that advocates for open and interoperable solutions in RAN. Xilinx is already a member of O-RAN alliance and is a contributor to the 3GPP specifications for 5G mobile networks. Xilinx offers silicon that supports multiple standards, bands, carriers and sub-networks for Open RAN, the company said in its press release.


basicmi/AI-Chip

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At Hot Chips 2019, Intel revealed new details of upcoming high-performance artificial intelligence (AI) accelerators: Intel Nervana neural network processors, with the NNP-T for training and the NNP-I for inference. Intel engineers also presented technical details on hybrid chip packaging technology, Intel Optane DC persistent memory and chiplet technology for optical I/O. Myriad X is the first VPU to feature the Neural Compute Engine - a dedicated hardware accelerator for running on-device deep neural network applications. Interfacing directly with other key components via the intelligent memory fabric, the Neural Compute Engine is able to deliver industry leading performance per Watt without encountering common data flow bottlenecks encountered by other architectures. Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated (NASDAQ: QCOM), announced that it is bringing the Company's artificial intelligence (AI) expertise to the cloud with the Qualcomm Cloud AI 100. Built from the ground up to meet the explosive demand for AI inference processing in the cloud, the Qualcomm Cloud AI 100 utilizes the Company's heritage in advanced signal processing and power efficiency. Our 4th generation on-device AI engine is the ultimate personal assistant for camera, voice, XR and gaming – delivering smarter, faster and more secure experiences. Utilizing all cores, it packs 3 times the power of its predecessor for stellar on-device AI capabilities. With the open-source release of NVDLA's optimizing compiler on GitHub, system architects and software teams now have a starting point with the complete source for the world's first fully open software and hardware inference platform. The next generation of NVIDIA's GPU designs, Turing will be incorporating a number of new features and is rolling out this year. Nvidia launched its second-generation DGX system in March. In order to build the 2 petaflops half-precision DGX-2, Nvidia had to first design and build a new NVLink 2.0 switch chip, named NVSwitch.


Executive Insight: Wally Rhines

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Wally Rhines, president and CEO of Mentor, a Siemens Business, sat down with Semiconductor Engineering to discuss a wide range of industry and technology changes and how that will play out over the next few years. What follows are excerpts of that conversation. SE: What will happen in the end markets? Rhines: The end markets are perhaps more exciting from a design perspective right now than they have been in recent years. Everyone is intrigued with the electronic design opportunities that have been emerging in the automotive industry.