category: Top Stories

category: IoT, Security & Automotive

Innovations In Sensor Technology
By John Koon - 09 Dec, 2021 - Comments: 0

Sensors are the “eyes” and “ears” of processors, co-processors, and computing modules. They come in all shapes, forms, and functions, and they are being deployed in a rapidly growing number of applications — from edge computing and IoT, to smart cities, smart manufacturing, hospitals, industrial, machine learning, and automotive. Each of these use cases relies on chips to capture d... » read more

Big Changes Ahead For Inside Auto Cabins
By Bryon Moyer - 08 Dec, 2021 - Comments: 0

The space we occupy inside our vehicles is poised to change from mere enclosure to participant in the driving experience. Whether for safety or for comfort, a wide range of sensors are likely to appear that will monitor the “contents” of the vehicle. The overall approach is referred to as an in-cabin monitoring system (ICMS), but the specific applications vary widely. “In-cabin sensing... » read more

Using Manufacturing Data To Boost Reliability
By Ed Sperling and Ann Mutschler - 07 Dec, 2021 - Comments: 0

As chipmakers turn to increasingly customized and complex heterogeneous designs to boost performance per watt, they also are demanding lower defectivity and higher yields to help offset the rising design and manufacturing costs. Solving those issues is a mammoth multi-vendor effort. There can be hundreds of process steps in fabs and packaging houses. And as feature sizes continue to shrink, ... » read more

Speeding Up Scan-Based Volume Diagnosis
By Bryon Moyer - 07 Dec, 2021 - Comments: 0

In the critical process known as new-product bring-up, it’s a race to get new products to yield as quickly as possible. But the interplay between increasingly complex aspects of designs and process makes it difficult to find root causes of yield issues so they can be fixed quickly. Advanced processes have very high defectivity, and learning must be fast and effective. While progress has be... » read more

Big Payback For Combining Different Types Of Fab Data
By Anne Meixner - 07 Dec, 2021 - Comments: 1

Collecting and combining diverse data types from different manufacturing processes can play a significant role in improving semiconductor yield, quality, and reliability, but making that happen requires integrating deep domain expertise from various different process steps and sifting through huge volumes of data scattered across a global supply chain. The semiconductor manufacturing IC data... » read more

Improving Energy And Power Efficiency In The Data Center
By Ann Mutschler - 06 Dec, 2021 - Comments: 0

Energy costs in data centers are soaring as the amount of data being generated explodes, and it's being made worse by an imbalance between increasingly dense processing elements that are producing more heat and uneven server utilization, which requires more machines to be powered up and cooled. The challenge is to maximize utilization without sacrificing performance, and in the past that has... » read more

Why It’s So Difficult — And Costly — To Secure Chips
By Ed Sperling - 02 Dec, 2021 - Comments: 0

Rising concerns about the security of chips used in everything from cars to data centers are driving up the cost and complexity of electronic systems in a variety of ways, some obvious and others less so. Until very recently, semiconductor security was viewed more as a theoretical threat than a real one. Governments certainly worried about adversaries taking control of secure systems through... » read more

Advanced Packaging For Automotive Chips
By Ann Mutschler - 02 Dec, 2021 - Comments: 0

Multiple types of chips may be better than one for dealing with large amounts and different types of data, but in automotive applications it's not entirely clear how or even whether they should be packaged together. The biggest problem with electronics in vehicles is the extreme range of temperatures, both within and outside of vehicles. Without adequate cooling, chips can age prematurely, s... » read more

Will Markets For ML Models Materialize?
By Bryon Moyer - 02 Dec, 2021 - Comments: 0

Developers are spending increasing amounts of time and effort in creating machine-learning (ML) models for use in a wide variety of applications. While this will continue as the market matures, at some point some of these efforts might be seen as reinventing models over and over. Will developers of successful models ever have a marketplace in which they can sell those models as IP to other d... » read more

Startup Funding: November 2021
By Jesse Allen - 01 Dec, 2021 - Comments: 0

There's nothing virtual about the level of interest in AR/VR startups. As the concept of the 'metaverse' becomes more widespread with Nvidia's recent GTC announcements and Facebook's rebranding, investors poured money into startups with enabling technology for augmented, virtual, and extended reality. Most of those are developing waveguides and other display technology that is light enough to b... » read more

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