Week in Review: IoT, Security, Auto


Internet of Things Tony Franklin, Intel’s general manager for Internet of Things Segments, is interviewed by Lorin Fries on how the chipmaker is helping to develop smart farming applications. “We focus primarily on high-performance computer technologies, as well as communication technologies, which have great applicability for food systems. We work closely with a broad ecosystem of partner... » read more

An Integrated Simulation Platform to Validate Autonomous Vehicle Safety


Autonomous driving systems rely upon sensors and embedded software for localization, perception, motion planning and execution. Autonomous driving systems can only be released to the public after developers have demonstrated their ability to achieve extremely high levels of safety. Today’s hands-off autonomous driving systems are largely built with deep learning algorithms that can be trained... » read more

Scaling To Meet Engineering Challenges In Transportation


If you’re working on anything related to self-driving cars, you’re likely pondering the tradeoff between what’s technically possible and socially feasible. Example: what do you do if the posted speed is 25mph while the local norms are to travel at least 30 mph? Obey the law and annoy the drivers around you? Or follow the herd and risk the ire of local law enforcement and officials who are... » read more

Power/Performance Bits: Jan. 8


Ferrimagnetic memory Engineers at the National University of Singapore, Toyota Technological Institute, and Korea University propose a new type of spintronic memory that is 20 times more efficient and 10 times more stable than commercial ones. In spintronic devices, data is stored depending on up or down magnetic states. Current devices based on ferromagnets, however, suffer from a few issu... » read more

Ultra-Low-Power SAR ADC in 22 nm FD-SOI Technology Using Body-Biasing


Today’s sensor applications show a rising demand on miniaturized autonomous sensors nodes with extreme requirements on power dissipation. One core functionality of these sensor nodes is the conversion of analog sensor signals to digital data for post processing and data communication. In this work a 11-bit Successive Approximation Register (SAR) ADC with minimized power dissipation is develop... » read more

Power/Performance Bits: Dec. 11


Internet of Ears for smart buildings Scientists at Case Western Reserve University proposed a new way for smart homes to determine building occupancy: sensors that 'listen' to vibration, sound, and changes in the existing ambient electrical field. "We are trying to make a building that is able to 'listen' to the humans inside," said Ming-Chun Huang, an assistant professor in electrical engi... » read more

The Growing Promise Of Printed Electronics


Printing electronics using conductive ink rather than lithography is starting to move out of the research phase, with chipmakers now looking at how to commercialize this technology across a broad range of sensor applications. Unlike traditional semiconductors, which use tiny wires as circuits, printed electronics rely on conductive inks and often flexible films, although they can be printed ... » read more

Training a Neural Network to Fall


Who knew falling was so complicated? “I don’t want to work on a fall detection system ever again,” said MbientLab CEO Laura Kassovic in front of an ARMTech Con audience. The audience laughed as she flashed a picture of what could now be a better approach—the Apple Watch Series 4, which had recently been announced. “The Apple 4 has the fall detection sensor built in. It’s probably... » read more

Dirty Data: Is the Sensor Malfunctioning?


Sensors provide an amazing connection to the physical world, but extracting usable data isn't so simple. In fact, many first-time IoT designers are unprepared for how messy a sensor’s data can be. Every day the IoT motion-sensor company MbientLab struggles to tactfully teach its customers that the mountain of data they are seeing is not because the sensors are faulty. Instead, the system d... » read more

Autonomous Vehicle Design Begins To Change Direction


Tools that are commonly used in semiconductor design are starting to be applied at the system level for assisted and autonomous vehicles, setting the stage for more complex simulated scenarios and electronic system design. Simulation is well understood for designing automotive ICs, but now it also is being used to design vehicle architectures and sensors, as well as for sensor miniaturizatio... » read more

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