Designing For The Edge


Chip and system architectures are beginning to change as the tech industry comes to grips with the need to process more data locally for latency, safety, and privacy/security reasons. The emergence of the intelligent edge is an effort to take raw data from endpoints, extract the data that requires immediate action, and forward other data to various local, regional or commercial clouds. The b... » read more

Racing To The Edge


The race is on to win a piece of the edge, despite the fact that there is no consistent definition of where the edge begins and ends or how the various pieces will be integrated or ultimately tested. The edge concept originated with the Internet of Things, where the initial idea was that tens of billions of dumb sensors would communicate through gateways to the cloud. That idea persisted unt... » read more

New Approaches To Security


Different approaches are emerging to identify suspicious behavior and shut down potential breaches before they have a chance to do serious damage. This is becoming particularly important in markets where safety is an issue, and in AI and edge devices where the rapid movement of data is essential. These methods are a significant departure from the traditional way of securing devices through l... » read more

Spreading Intelligence From The Cloud To The Edge


The challenge of partitioning processing between the edge and the cloud is beginning to come into focus as chipmakers and systems companies wrestle with a massive and rapidly growing volume of data. There are widely different assessments of how much data this ultimately will include, but everyone agrees it is a very large number. Petabytes are simply rounding errors in this equation, and tha... » read more

Designing An AI SoC


Susheel Tadikonda, vice president of networking and storage at Synopsys, looks at how to achieve economies of scale in AI chips and where the common elements are across all the different architectures. https://youtu.be/fm0kxnj3DuM » read more

Using AI Data For Security


Artificial intelligence is migrating from the cloud to IoT edge devices. Now the question is how to apply that same technology to protect data and identify abnormal activity in those devices and the systems connected to them. This is a complex problem because AI is being used on multiple fronts in this battle, as well as for multiple purposes. The technology has advanced to the point where e... » read more

Planning For 5G And The Edge


Semiconductor Engineering sat down to discuss 5G and edge computing with Rahul Goyal, vice president in the technology and manufacturing group at Intel; John Lee, vice president and general manager of the semiconductor business unit at ANSYS; Rob Aitken, R&D fellow at Arm; and Lluis Paris, director of IP portfolio marketing at TSMC. What follows are excerpts of that conversation. Part one i... » read more

Low Power At The Edge


The tech world has come to the realization in recent months that there is far too much data to process everything in the cloud. Now it is starting to come to grips with what that really means for edge and near-edge computing. There still are no rules for where or how that data will be parsed, but there is a growing recognition that some level of pre-processing will be necessary, and that in tur... » read more

AI In Chip Manufacturing


Ira Leventhal, New Concept Product Initiative vice president at Advantest, talks with Semiconductor Engineering about using analysis and deep learning to make test more efficient and more effective. https://youtu.be/3VVG4JVnjHo » read more

System Bits: Jan. 14


Integrated photonics platform Researchers at Harvard’s John A. Paulson School of Engineering and Applied Sciences came up with an integrated photonics platform capable of storing light and electrically controlling its frequency or color through a microchip. Mian Zhang, first author of the resulting paper, says, “Many quantum photonic and classical optics applications require shifting of op... » read more

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