Week in Review: IoT, Security, Auto


Internet of Things Verizon Communications launched its nationwide narrowband Internet of Things network, saying it covers more than 92% of the U.S. population. “There is a whole universe of smart solutions needing scalable and affordable connections,” Jeffrey Dietel, senior vice president of business marketing and products, said in a statement. “By launching our NB-IoT network, Verizon i... » read more

Manufacturing Bits: May 14


Radiation thermometers The National Institute of Standards and Technology (NIST) has developed a thermometer that can measure radiation within a few thousandths of a degree Celsius. The so-called Ambient-Radiation Thermometer (ART) from NIST is a new type of radiation thermometer, which measures infrared radiation (IR) given off by objects without touching them. Measuring 60 centimeters ... » read more

System Bits: May 14


Faster U.S. supercomputers on the way The U.S. Department of Energy awarded a contract for more than $600 million to Cray for an exascale supercomputer to be installed at the Oak Ridge National Laboratory during 2021. Cray will provide its Shasta architecture and Slingshot interconnect for what is dubbed the Frontier supercomputer. Advanced Micro Devices will have a key role in building the... » read more

Week in Review: IoT, Security, Auto


Internet of Things Microsoft this week introduced IoT Plug and Play, a no-code toolkit for connecting Internet of Things devices to the cloud. The company touts it as a new modeling language to pump up the capabilities of IoT devices through the Microsoft Azure cloud service. The Azure IoT Device Catalog lists devices that support IoT Plug and Play, such as the STMicroelectronics SensorTile.bo... » read more

Bottlenecks For Edge Processors


New processor architectures are being developed that can provide two to three orders of magnitude improvement in performance. The question now is whether the performance in systems will be anything close to the processor benchmarks. Most of these processors doing one thing very well. They handle specific data types and can accelerate the multiply-accumulate functions for algorithms by distri... » read more

Driving AI, ML To New Levels On MCUs


One of the most dramatic impacts of technology of late has been the implementation of artificial intelligence and machine learning on small edge devices, the likes of which are forming the backbone of the Internet of Things. At first, this happened through sheer engineering willpower and innovation. But as the drive towards a world of a trillion connected devices accelerates, we must find wa... » read more

The Rising Importance Of Design Planning


Design Planning is often overlooked in the chip design flow. The front-end designer carefully architects the design functionality to produce golden RTL. This is then poured into the synthesis engine to produce logic gates. The synthesized netlist is then thrown over the wall by the front-end designer for physical implementation. The back-end designer receives a gate-level netlist, timing con... » read more

Neural Network Performance Modeling Software


nnMAX Inference IP is nearing design completion. The nnMAX 1K tile will be available this summer for design integration in SoCs, and it can be arrayed to provide whatever inference throughput is desired. The InferX X1 chip will tape out late Q3 this year using 2x2 nnMAX tiles, for 4K MACs, with 8MB SRAM. The nnMAX Compiler is in development in parallel, and the first release is available now... » read more

Here Come The Economists


Big data is undergoing some big changes. For years, the challenge was getting enough good data to create models for everything from Wall Street trends to traffic routing. But with an influx of data from billions of sensors and electronic transactions, data is no longer in short supply. In fact, there is so much data pouring in that companies need to figure out what to do with it. That requi... » read more

Gaps Emerge In Automotive Test


Demands by automakers for zero defects over 18 years are colliding with real-world limitations of testing complex circuitry and interactions, and they are exposing a fundamental disconnect between mechanical and electronic expectations that could be very expensive to fix. This is especially apparent at leading-edge nodes, where much of the logic is being developed for AI systems and image se... » read more

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