tag: MPU

AI Performance And Real-Time Control In Robotics And Autonomous Applications
By Shingo Kojima - 07 Mar, 2024 - Comments: 0

Recent vision AI models have to deal with dynamic and complex environments, resulting in the need for more power efficiency and speed in real-time applications. To meet the market needs, Renesas released the next-generation Dynamically Reconfigurable Processor for AI (DRP-AI) accelerator. The DRP-AI accelerator delivers high-power efficiency of 10 TOPS/W, up to 10 times higher than the conve... » read more

Repositioning For A Changing IC Market
By Ed Sperling - 26 May, 2022 - Comments: 0

Sailesh Chittipeddi, executive vice president at Renesas, sat down with Semiconductor Engineering to talk about how changes in end markets are shifting demand for technology. What follows are excerpts of that conversation. SE: Renesas has acquired a number of companies over the past several years. What's the goal? Chittipeddi: The goal very simply is to create an industry leading solutio... » read more

Manufacturing Shifts To AI Of Things
By John Koon - 06 Jan, 2022 - Comments: 0

AI is being infused into the Internet of Things, setting the stage for significant improvements in manufacturing productivity, improved uptime, and reduced costs — regardless of market segment. The traditional approach to improving manufacturing equipment reliability and efficiency is regular scheduled maintenance. While that is an improvement over just fixing or replacing equipment when i... » read more

MPU Vs. MCU
By Bryon Moyer - 01 Dec, 2020 - Comments: 1

There was a time when microprocessors and microcontrollers were distinct devices. There was never a question as to which one you were dealing with. But changes in the memory architecture have muddied the distinction in modern devices. There are a number of ways in which microprocessors and microcontrollers could possibly be differentiated. But there is no universal agreement as to how that s... » read more

Accelerating Endpoint Inferencing
By Kevin Fogarty - 06 Jun, 2019 - Comments: 0

Chipmakers are getting ready to debut inference chips for endpoint devices, even though the rest of the machine-learning ecosystem has yet to be established. Whatever infrastructure does exist today is mostly in the cloud, on edge-computing gateways, or in company-specific data centers, which most companies continue to use. For example, Tesla has its own data center. So do most major carmake... » read more

What’s Next With Computing?
By Mark LaPedus - 18 Dec, 2017 - Comments: 1

At the recent IEDM conference, Jeff Welser, vice president and lab director at IBM Research Almaden, sat down to discuss artificial intelligence, machine learning, quantum computing and supercomputing with Semiconductor Engineering. Here are excerpts of that conversation. SE: Where is high-end computing going? Welser: We are seeing lots of different systems start to come up. First of all,... » read more

Changes Ahead For Test
By Jeff Dorsch - 11 Dec, 2017 - Comments: 0

Testing microprocessors is becoming more difficult and more time consuming as these devices are designed to take on more complex tasks, such as accelerating artificial intelligence computing, enabling automated driving, and supporting deep neural networks. This is not just limited to microprocessors, either. Graphics processing units are grabbing market share in supercomputing and other area... » read more

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