Customization And Limitations At The Edge


Semiconductor Engineering sat down to discuss the edge constraints and the need for security with Jeff DeAngelis, managing director of the Industrial and Healthcare Business Unit at Maxim Integrated; Norman Chang, chief technologist at Ansys; Andrew Grant, senior director of artificial intelligence at Imagination Technologies; Thomas Ensergueix, senior director of the automotive and IoT line of... » read more

Smarter, Safer Surround-View For Cars


With modern advancements in automotive safety, we are seeing advanced driving assistance systems (ADAS) such as surround-view become the new standard in modern cars. This demonstration shows how this application can be enhanced with the addition of accurate real-time reflections and AI to detect hazards that make cars safer. First, let’s start with the graphics problem. Have you ever l... » read more

The Murky World Of AI Benchmarks


AI startup companies have been emerging at breakneck speed for the past few years, all the while touting TOPS benchmark data. But what does it really mean and does a TOPS number apply across every application? Answer: It depends on a variety of factors. Historically, every class of design has used some kind of standard benchmark for both product development and positioning. For example, SPEC... » read more

Multitasking For Modern GPUs


Originally GPUs were all about one thing, 3D graphics, and specifically fill-rate. Creating 3D triangles, calculating their position, coloring them in, processing the right ones (thank you tile-based deferred rending), and outputting them to the screen. Nowadays GPUs need to do more – it’s called “compute.” Indeed, we’ve been talking about running this on low-power GPUs for a long ... » read more

Simultaneous Localization And Mapping


Amol Borkar, senior product manager at Cadence, explains how to track the movement of an object in a scene and how to match features from one image to the next using SLAM. The technology is used in everything from mobile phones to automotive and drones. » read more

System Bits: July 30


A camera that sees around corners Researchers at Stanford University developed a camera system that can detect moving objects around a corner, looking at single particles of light reflected on a wall. “People talk about building a camera that can see as well as humans for applications such as autonomous cars and robots, but we want to build systems that go well beyond that,” said Gordon... » 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

The Automation Of AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Using Less Power At The Same Node


Going to the next node has been the most effective way to reduce power, but that is no longer true or desirable for a growing percentage of the semiconductor industry. So the big question now is how to reduce power while maintaining the same node size. After understanding how the power is used, both chip designers and fabs have techniques available to reduce power consumption. Fabs are makin... » read more

Using Analog For AI


If the only tool you have is a hammer, everything looks like a nail. But development of artificial intelligence (AI) applications and the compute platforms for them may be overlooking an alternative technology—analog. The semiconductor industry has a firm understanding of digital electronics and has been very successful making it scale. It is predictable, has good yield, and while every de... » read more

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