tag: data analytics

Reducing Costly Flaws In Heterogeneous Designs
By Ed Sperling - 08 Oct, 2019 - Comments: 0

The cost of defects is rising as chipmakers begin adding multiple chips into a package, or multiple processor cores and memories on the same die. Put simply, one bad wire can spoil an entire system. Two main issues need to be solved to reduce the number of defects. The first is identifying the actual defect, which becomes more difficult as chips grow larger and more complex, and whenever chi... » read more

From Womb To Tomb: A Lifetime Of Chip Data In A Common Language
By Noam Brousard - 08 Oct, 2019 - Comments: 0

Every integrated circuit (IC) has a lifetime of stories to tell. From design through the end of a chip’s life, it can let us know what’s happening all along the way, providing we give it a voice and the language to do so. But until we can gain access to this data, the lives of these ICs remain secret. In-chip monitoring opens up those secrets. It helps to optimize performance, and it is esp... » read more

Testing Against Changing Standards In Automotive
By Ed Sperling and Kevin Fogarty - 08 Oct, 2019 - Comments: 0

The infusion of more semiconductor content into cars is raising the bar on reliability and changing the way chips are designed, verified and tested, but it also is raising a lot of questions about whether companies are on the right track at any point in time. Concerns about liability are rampant with autonomous and assisted driving, so standards are being rolled out well in advance of the te... » read more

Machine Learning For ADAS Camera Manufacturing
By Peter Hodgins - 16 Sep, 2019 - Comments: 0

Virtually every vehicle manufacturer in the world is either developing, purchasing, or investing in ADAS systems in order to bring autonomous vehicles into the market. With this demand on the rise, the need for high quality automotive camera modules is rising. ADAS systems are built using computer vision technology and act as the “eyes” of autonomous vehicles. Numerous cameras are embedd... » read more

Using Better Data To Shorten Test Time
By Ed Sperling - 06 Aug, 2019 - Comments: 1

The combination of machine learning plus more sensors embedded into IC manufacturing equipment is creating new possibilities for more targeted testing and faster throughput for fabs and OSATs. The goal is to improve quality and reduce the cost of manufacturing complex chips, where time spent in manufacturing is ballooning at the most advanced nodes. As the number of transistors on a die incr... » read more

Big Shifts In Big Data
By Ed Sperling - 09 Jul, 2019 - Comments: 0

The big data market is in a state of upheaval as companies begin shifting their data strategies from "nothing" or "everything" in the cloud to a strategic mix, squeezing out middle-market players and changing what gets shared, how that data is used, and how best to secure it. This has broad implications for the whole semiconductor supply chain, because in many cases it paves the way for ... » read more

Factoring Reliability Into Chip Manufacturing
By Ed Sperling - 20 Jun, 2019 - Comments: 0

Making chips that can last two decades is possible, even if it's developed at advanced process nodes and is subject to extreme environmental conditions, such as under the hood of a car or on top of a light pole. But doing that at the same price point as chips that go into consumer electronics, which are designed to last two to four years, is a massively complex challenge. Until a couple of y... » read more

Thinking Differently About IIoT Analytics
By Michael Schuldenfrei - 17 Jun, 2019 - Comments: 0

Manufacturers are rushing to keep up with the latest technology trends and perhaps the most significant ones are around the smart factory. Whether you call it Industry 4.0, Smart Manufacturing or the Industrial Internet of Things (IIoT), what all these initiatives have in common is the desire to maximize value from manufacturing data and improve overall manufacturing efficiency. With the ave... » read more

Data Confusion At The Edge
By Ed Sperling - 11 Jun, 2019 - Comments: 0

Disparities in pre-processing of data at the edge, coupled with a total lack of standardization, are raising questions about how that data will be prioritized and managed in AI and machine learning systems. Initially, the idea was that 5G would connect edge data to the cloud, where massive server farms would infer patterns from that data and send it back to the edge devices. But there is far... » read more

The 3 Big Data Mega Trends For Manufacturing
By Optimal Plus - 11 Jun, 2019 - Comments: 0

By Michael Schuldenfrei In today’s global, highly competitive economy, industrial companies are under intense pressure to lower manufacturing costs and streamline processes without compromising quality. Production managers are expected to contribute to improved business outcomes through ultra-efficient use of raw materials, near-zero production downtime, streamlined labor costs, and agile wo... » read more

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