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

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

Data Vs. Physics


The surge of data from nearly ubiquitous arrays of sensors is changing the dynamics of where and how that data is processed. There is simply too much data to send everything to a centralized processing facility in the cloud, and even 5G won't provide enough bandwidth to handle all of this data. This has big implications on a much broader scale. Data is valuable. And while clean data is more ... » 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

Edge Inferencing Challenges


Geoff Tate, CEO of Flex Logix, talks about balancing different variables to improve performance and reduce power at the lowest cost possible in order to do inferencing in edge devices. https://youtu.be/1BTxwew--5U » read more

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