Fusing CMOS IC And MEMS Design For IoT Edge Devices


Creating a sensor-based IoT edge device is challenging, due to the multiple design domains involved (Analog, digital, RF, and MEMS). But, creating an edge device that combines the electronics using the traditional CMOS IC flow and a MEMS sensor on the same silicon die can seem impossible. In fact, many IoT edge devices combine multiple dies in a single package, separating electronics from the M... » read more

Power/Performance Bits: Sept. 26


Long-range communication Researchers at the University of Washington developed devices that run on almost zero power can transmit data across distances of up to 2.8 kilometers. The long-range backscatter system, which uses reflected radio signals to transmit data at extremely low power, achieved reliable coverage throughout 4800-square-foot house, an office area covering 41 rooms and a one-acr... » read more

The Week In Review: IoT


Finance Santa Monica, Calif.-based Sixgill reports raising $27.9 million in its Series B round of private financing, led by DRW Venture Capital. Mobile Financial Partners participated in the round. The startup last year raised $6 million in its Series A funding, also led by DRW. The company offers the Sixgill Sense sensor data services platform, addressing applications in the Internet of Thing... » read more

Big Push For 3D Sensing With iPhone X


3D sensing is a buzzword that has been thrown around quite a bit this year in connection with the rumors surrounding the tenth-anniversary iPhone. Although the iPhone X will be the first large-scale consumer push for 3D sensing, the technology has been around for years, particularly in industrial applications such as machine vision. 3D sensing is already used in the PC – think Intel’s RealS... » read more

The Week In Review: IoT


Deals Deere & Co. has agreed to acquire Blue River Technology of Sunnyvale, Calif., for $305 million. The transaction is expected to close this month. Blue River develops computer vision and machine learning technology for use in precision agriculture. Monsanto Growth Ventures, Data Collective Venture Capital, Innovation Endeavors, Khosla Ventures, and Pontifax AgTech were among the investors... » read more

Combining CMOS IC And MEMS Design For IoT Edge Devices


Creating a sensor-based IoT edge device is challenging, due to the multiple design domains involved. But, creating an edge device that combines the electronics using the traditional CMOS IC flow and a MEMS sensor on the same silicon die can seem impossible. For many years, Tanner has provided customers the ability to interweave MEMS design into this flow, supporting a top-down MEMS IC fl... » read more

An Innovator’s Vision


I had the pleasure of talking with [getperson id="11764" comment="Lucio Lanza"], managing director of Lanza techVentures, when I was researching my article on design innovation earlier this month. One thing that sets successful business people apart is their ability to see patterns, to correctly identify how those patterns fit together and progress and, based on those, to know which way to evol... » read more

The 200mm Equipment Scramble


An explosion in 200mm demand has set off a frenzied search for used semiconductor manufacturing equipment that can be used at older process nodes. The problem is there is not enough used equipment available, and not all of the new or expanding 200mm fabs can afford to pay the premium for refurbished or new equipment. This may sound like a straightforward supply and demand issue, but behind t... » read more

New AI algorithm monitors sleep with radio waves (MIT & Mass General)


Source: MIT and Massachusetts General Hospital. Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi Monitoring sleep with AI To make it easier to diagnose and study sleep problems, researchers at MIT and Massachusetts General Hospital have devised a new way to monitor sleep stages without sensors attached to the body by using a device that employs an advanced artific... » read more

Using CNNs To Speed Up Systems


Convolutional neural networks (CNNs) are becoming one of the key differentiators in system performance, reversing a decades-old trend that equated speed with processor clock frequencies, the number of transistors, and the instruction set architecture. Even with today's smartphones and PCs, it's difficult for users to differentiate between processors with 6, 8 or 16 cores. But as the amount o... » read more

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