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Auto Displays: Bigger, Brighter, More Numerous


Displays are rapidly becoming more critical to the central brains in automobiles, accelerating the adoption and evolution of this technology to handle multiple types of audio, visual, and other data traffic coming into and flowing throughout the vehicle. These changes are having a broad impact on the entire design-through-manufacturing flow for display chip architectures. In the past, these ... » read more

New Power, Performance Options At The Edge


Increasing compute intelligence at the edge is forcing chip architects to rethink how computing gets partitioned and prioritized, and what kinds of processing elements and memory configurations work best for a particular application. Sending raw data to the cloud for processing is both time- and resource-intensive, and it's often unnecessary because most of the data collected by a growing nu... » read more

11 Ways To Reduce AI Energy Consumption


As the machine-learning industry evolves, the focus has expanded from merely solving the problem to solving the problem better. “Better” often has meant accuracy or speed, but as data-center energy budgets explode and machine learning moves to the edge, energy consumption has taken its place alongside accuracy and speed as a critical issue. There are a number of approaches to neural netw... » read more

MIPI DSI-2 With VESA DSC Drives Performance For Next-Generation Displays


The Mobile Industry Processor Interface (MIPI) Alliance was formed in 2003 to address the fragmentation in the essential video interface technologies for cameras and displays in phones. Over the years, the alliance has significantly expanded its scope to publish specifications covering physical layer, multimedia, chip-to-chip, control/data, and debug/trace and software. With its broader mission... » read more

Power/Performance Bits: Dec. 31


Three-valued memory Scientists at the Tokyo Institute of Technology and the University of Tokyo developed a new three-valued memory device inspired by solid lithium-ion batteries which could potentially serve as low power consumption RAM. The new device consisted of a stack of three solid layers made of lithium, lithium phosphate, and gold. This stack is essentially a miniature low-capacity... » read more

Where Is The Edge?


Mike Fitton, senior director of strategic planning at Achronix, talks about what the edge will look like, how that fits in with the cloud, what the requirements are both for processing and for storage, and how this concept will evolve.   Edge Knowledge Center Top stories, videos, blogs, white papers all related to the Edge » read more

Machine Learning Inferencing At The Edge


Ian Bratt, fellow in Arm's machine learning group, talks about why machine learning inferencing at the edge is so difficult, what are the tradeoffs, how to optimize data movement, how to accelerate that movement, and how it differs from developing other types of processors. » read more

Using Compression For High-Bandwidth Video


Malte Doerper, senior manager for product management at Synopsys, explains how to improve bandwidth and reduce latency in video without changing out the existing infrastructure through compression, but unlike previous versions of compression there is no significant loss of quality. This approach reduces power, area and heat, as well. » read more

Power/Performance Bits: May 6


Compressing objects Computer scientists at MIT propose a way to improve data compression in memory by focusing on objects rather than cache lines. "The motivation was trying to come up with a new memory hierarchy that could do object-based compression, instead of cache-line compression, because that's how most modern programming languages manage data," said Po-An Tsai, a graduate student at... » 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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