Cutting The Cord: How Edge Intelligence Is Enabling The IoT To Go Where Cloud Can’t


In a world where data’s time to value or irrelevancy may be measured in milliseconds, the latency introduced in transferring data to the cloud threatens to undermine many of the Internet of Things’ most compelling use cases. Think of data as the fuel that powers our new decision-making engines – fail to get the fuel to the engines fast enough and the engine splutters and dies. Meanwhil... » read more

Data Vs. Physics


The surge of data from nearly ubiquitous arrays of sensors is changing the dynamics of where and how that data is processed. There is simply too much data to send everything to a centralized processing facility in the cloud, and even 5G won't provide enough bandwidth to handle all of this data. This has big implications on a much broader scale. Data is valuable. And while clean data is more ... » read more

Chip Industry In Rapid Transition


Wally Rhines, CEO Emeritus at Mentor, a Siemens Business, sat down with Semiconductor Engineering to talk about global economics, AI, the growing emphasis on customization, and the impact of security and higher abstraction levels. What follows are excerpts of that conversation. SE: Where do you see the biggest changes happening across the chip industry? Rhines: 2018 was a hot year for fab... » read more

Making IP Friendlier


Semiconductor Engineering sat down to discuss IP tracking and management with Ranjit Adhikary, vice president of marketing for ClioSoft; Jim Bruister, director digital systems (since retired) at Silvaco; Marc Greenberg, product marketing group director at Cadence; and Kelvin Low, vice president of marketing at Arm. What follows are excerpts from that conversation. Part one can be found here. ... » 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

Physical Verification In The Cloud


Cloud computing is no longer “the next big thing”; it has become a mainstream tool for business across many industries. Our own industry of IC Design and EDA, however, has been watching the cloud trend closely from the sidelines. We have been cautious and have not embraced Cloud as much as other industries – until now. What changed this year? What is driving design companies and EDA tool ... » read more

IP Tracking and Management


Semiconductor Engineering sat down to discuss IP tracking and management with Ranjit Adhikary, VP of marketing for ClioSoft; Jim Bruister, director digital systems (since retired) at Silvaco; Marc Greenberg, product marketing group director at Cadence; and Kelvin Low, VP of Marketing at Arm. What follows are excerpts from that conversation. SE: What is the scope of the problem? What are ... » read more

AI Chip Architectures Race To The Edge


As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

Power/Performance Bits: Nov. 20


In-memory compute accelerator Engineers at Princeton University built a programmable chip that features an in-memory computing accelerator. Targeted at deep learning inferencing, the chip aims to reduce the bottleneck between memory and compute in traditional architectures. The team's key to performing compute in memory was using capacitors rather than transistors. The capacitors were paire... » read more

How To Automate A Parking Lot


By Maen Suleiman and Gorka Garcia Applications at the edge of the network require special technologies, such as efficient packet processing, machine learning and connectivity to the cloud. The edge crosses a multitude of markets, including small business, industrial and enterprise, and it can include everything from devices you might expect to find at the edge to unusual concepts such as... » read more

Newer posts →