Week in Review: IoT, Security, Auto


Internet of Things AT&T reports the activation of its narrowband Internet of Things network in the U.S. The carrier upgraded its 4G LTE cell sites across the country. It now offers two low-power wide-area networks to business customers, including its LTE-M network in Mexico and the U.S. “Both networks are designed for the IoT within licensed spectrum and provide carrier-grade security,�... » read more

Manufacturing Bits: April 30


Single-atom catalysts A group of researchers have captured the behavior of a single-atom catalyst, a move that could one day help design more efficient catalysts in systems. A catalyst is a substance that increases the rate of a chemical reaction. In vehicles, for example, platinum is used as a catalyst, which speeds up chemical reactions and cleans exhaust gases. Besides platinum, the indu... » read more

System Bits: March 11


Cryptography IC for the IoT Massachusetts Institute of Technology researchers report their development of a cryptographic circuit that could be used to protect low-power Internet of Things devices when quantum computing takes hold. [caption id="attachment_24144905" align="alignleft" width="300"] Image Credit: MIT[/caption] The research team presented a paper at the 2019 International Sol... » read more

Week in Review: IoT, Security, Auto


Internet of Things McKinsey & Company identified 10 top trends in the Internet of Things. They include: IoT is a business opportunity, not just a tech opportunity; disciplined execution across multiple use cases is the path to value; and IoT is gradually enabling more subscription business models, but consumers are resistant. Louis Columbus of IQMS provides some IoT data points and id... » read more

Power/Performance Bits: Jan. 22


Efficient neural net training Researchers from the University of California San Diego and Adesto Technologies teamed up to improve neural network training efficiency with new hardware and algorithms that allow computation to be performed in memory. The team used an energy-efficient spiking neural network for implementing unsupervised learning in hardware. Spiking neural networks more closel... » read more

System Bits: Nov. 27


Silent, lightweight aircraft powered by ionic wind Instead of propellers or turbines, MIT researchers have built and flown the first-ever aircraft with no moving parts that is powered by an “ionic wind” — a silent but mighty flow of ions that is produced aboard the plane, and that generates enough thrust to propel the plane over a sustained, steady flight. [caption id="attachment_2414... » read more

Power/Performance Bits: Aug. 7


Optical neural network Researchers at the National Institute of Standards and Technology (NIST) have made a silicon chip that distributes optical signals precisely across a miniature brain-like grid, showcasing a potential new design for neural networks. Using light would eliminate interference due to electrical charge and the signals would travel faster and farther, said the researchers. "... » read more

The Week in Review: IoT


Conferences Keynote highlights from the Internet of Things World 2018 conference: “Safety is the most important thing,” said Russ Benson, vice president of IT product systems at Boeing; “It’s all about data,” said Juan Perez, chief information officer and chief engineering officer of UPS; “Semiconductors accelerate IoT growth,” said Tony Keirouz, vice president of IoT strategy, e... » read more

The Week in Review: IoT


Cybersecurity Arm this week introduced the Cortex-M35P processor with anti-tampering technology and software isolation. The company also debuted security intellectual property to protect Internet of Things devices from physical cyberattacks and close proximity side-channel attacks. Paul Williamson, Arm’s vice president and general manager of the IoT Device IP line of business, provides more ... » read more

Power/Performance Bits: May 1


Low power video streaming Engineers at the University of Washington developed a method for streaming HD video from a lightweight, wearable camera. The researchers used backscatter to send pixel data to a more powerful device, such as a smartphone or laptop, for power-hungry tasks like video processing and compression that have made a lightweight streaming camera out of reach. The pixels in ... » read more

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