tag: AI

The Benefits Of Using Embedded Sensing Fabrics In AI Devices
By Moortec - 11 Nov, 2020 - Comments: 0

AI chips, regardless of the application, are not regular ASICs and tend to be very large, this essentially means that AI chips are reaching the reticle limits in-terms of their size. They are also usually dominated by an array of regular structures and this helps to mitigate yield issues by building in tolerance to defect density due to the sheer number of processor blocks. The reason behind... » read more

Faster Inferencing At The Edge
By Ed Sperling - 09 Nov, 2020 - Comments: 0

Cheng Wang, senior vice president of engineering at Flex Logix, talks about inferencing at the edge, what are some of the main considerations in designing and choosing an inferencing chip, why programmability and modularity are important, and how hardware-software co-design with algorithms can improve performance and power. » read more

ResNet-50 Does Not Predict Inference Throughput For MegaPixel Neural Network Models
By Geoff Tate - 05 Nov, 2020 - Comments: 1

Customers are considering applications for AI inference and want to evaluate multiple inference accelerators. As we discussed last month, TOPS do NOT correlate with inference throughput and you should use real neural network models to benchmark accelerators. So is ResNet-50 a good benchmark for evaluating relative performance of inference accelerators? If your application is going to p... » read more

Blog Review: Nov. 4
By Jesse Allen - 04 Nov, 2020 - Comments: 0

Arm's Joshua Sowerby points to how to improve machine learning performance on mobile devices by using smart pruning to remove convolution filters from a network, reducing its size, complexity, and memory footprint. Mentor's Neil Johnson checks out how designers can write and verify RTL real-time using formal property checking in the style of test-driven development and why to give it a try. ... » read more

Speeding Up AI With Vector Instructions
By Ann Mutschler - 04 Nov, 2020 - Comments: 0

A search is underway across the industry to find the best way to speed up machine learning applications, and optimizing hardware for vector instructions is gaining traction as a key element in that effort. Vector instructions are a class of instructions that enable parallel processing of data sets. An entire array of integers or floating point numbers is processed in a single operation, elim... » read more

Security Tradeoffs In Chips And AI Systems
By Ed Sperling - 03 Nov, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss the cost and effectiveness of security in chip architectures and AI systems with with Vic Kulkarni, vice president and chief strategist at Ansys; Jason Oberg, CTO and co-founder of Tortuga Logic; Pamela Norton, CEO and founder of Borsetta; Ron Perez, fellow and technical lead for security architecture at Intel; and Tim Whitfield, vice president of s... » read more

Startup Funding: October 2020
By Jesse Allen - 02 Nov, 2020 - Comments: 0

October 2020 was a big month for startups across the automotive space, with sizeable funding all around. Three startups based out of China brought in over $100M apiece for ADAS and autonomous driving, and a fourth U.S.-based startup saw $125M investment for simulating and testing autonomous driving systems. Two electric vehicle manufacturers also received $100M+ rounds. Collectively, the auto c... » read more

Week In Review: Design, Low Power
By Jesse Allen - 30 Oct, 2020 - Comments: 0

M&A AMD will acquire Xilinx for $35 billion in an all-stock deal. "Joining together with AMD will help accelerate growth in our data center business and enable us to pursue a broader customer base across more markets,” said Victor Peng, Xilinx president and CEO. The deal is expected to close by the end of 2021. The acquisition of the programmable logic giant will leave only a few purepla... » read more

A Renaissance For Semiconductors
By Brian Bailey - 29 Oct, 2020 - Comments: 2

Major shifts in semiconductors and end markets are driving what some are calling a renaissance in technology, but navigating this new, multi-faceted set of requirements may cause some structural changes for the chip industry as it becomes more difficult for a single company to do everything. For the past decade, the mobile phone industry has been the dominant driver for the semiconductor eco... » read more

Regaining The Edge In U.S. Chip Manufacturing
By Mark LaPedus & Ann Steffora Mutschler - 26 Oct, 2020 - Comments: 16

The United States is developing new strategies to prevent it from falling further behind Korea, Taiwan, and perhaps even China in semiconductor manufacturing, as trade tensions and national security concerns continue to grow. For years, the U.S. has been a leader in the development of new chip products like GPUs and microprocessors. But from a chip manufacturing standpoint, the U.S. is losin... » read more

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