Cataloging IP In The Enterprise


Many companies have no way of documenting where IP they license is actually used, which version of that IP is being utilized, and whether that license extends to other projects or even to their customers. Pedro Pires, applications engineer at ClioSoft, looks at how IP currently is cataloged, why it’s been so difficult to do this in the past, and how AI can be used to speed up and simplify thi... » read more

The Importance Of Layering Data


The chip industry generates enormous quantities of data, from design through manufacturing, but much of it is unavailable or incomplete. And even when and where it is available, it is frequently under-utilized. While there has been much work done in terms of establishing traceability and data formats, the cross-pollination of data between companies and between equipment makers at various pro... » read more

Data Tsunami Pushes Boundaries Of IC Interconnects


Rapid increases in machine-generated data are fueling demand for higher-performance multi-core computing, forcing design teams to rethink the movement of data on-chip, off-chip, and between chips in a package. In the past, this was largely handled by the on-chip interconnects, which often were a secondary consideration in the design. But with the rising volumes of data in markets ranging fro... » read more

Tradeoffs Between Edge Vs. Cloud


Increasing amounts of processing are being done on the edge, but how the balance will change between what's computed in the cloud versus the edge remains unclear. The answer may depend as much on the value of data and other commercial reasons as on technical limitations. The pendulum has been swinging between doing all processing in the cloud to doing increasing amounts of processing at the ... » read more

Designing Chips For Test Data


Collecting data to determine the health of a chip throughout its lifecycle is becoming necessary as chips are used in more critical applications, but being able to access that data isn't always so simple. It requires moving signals through a complex, sometimes unpredictable, and often hostile environment, which is a daunting challenge under the best of conditions. There is a growing sense of... » read more

Who Owns In-Chip Monitoring Data?


In-chip monitors provide unprecedented visibility into the inner workings of complex integrated circuits for everything from process control to fine binning, preventive system maintenance, and failure analysis. But there may be many consumers of different slices of the data at very different phases of the chip lifecycle, raising questions about who controls and owns all of that data. The ans... » read more

Changes In Auto Architectures


Automotive architectures are changing from a driver-centric model to one where technology supplements and in some cases replaces the driver. Hans Adlkofer, senior vice president and head of the Automotive Systems Group at Infineon, looks at the different levels of automation in a vehicle, what’s involved in the shift from domain to zonal architectures, why a mix of processors will be required... » read more

Sensor Fusion Everywhere


How do you distinguish between background noise and the sound of an intruder breaking glass? David Jones, head of marketing and business development for intuitive sensing solutions at Infineon, looks at what types of sensors are being developed, what happens when different sensors are combined, what those sensors are being used for today, and what they will be used for in the future. » read more

Sharing Secure Chip Data For Analytics


New approaches and standards are being developed to securely share manufacturing and test data across the supply chain, moves that have long been considered critical to the reliability of end devices and faster time to yield and profitability. It will take time before these methods become widespread in the IC supply chain. But there is increasing agreement these kinds of measures are essenti... » read more

New Uses For AI


AI is being embedded into an increasing number of technologies that are commonly found inside most chips, and initial results show dramatic improvements in both power and performance. Unlike high-profile AI implementations, such as self-driving cars or natural language processing, much of this work flies well under the radar for most people. It generally takes the path of least disruption, b... » read more

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