Can Compute-In-Memory Bring New Benefits To Artificial Intelligence Inference?


Compute-in-memory (CIM) is not necessarily an Artificial Intelligence (AI) solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the multiplication operation at the heart of AI model execution. However, for that to be successful, an AI processing system would need to be explicitly architected to use CIM. The change would entail a shift ... » read more

Working With The NimbleAI Project To Push The Boundaries Of Neuromorphic Vision


At the end of 2022, the EU kicked off a cool project that aims to implement neuromorphic vision. But what is that? Let’s take a deeper look at the project and our contribution. First, if you are not familiar with Codasip Labs, I want to mention this briefly. Codasip Labs is in fact our innovation hub where we explore new technologies and try to contribute to the technology of the future. ... » read more

Improved DSP And AI Performance On An MCU Core


In the world of embedded devices, there's a growing demand for advanced machine learning and signal processing capabilities. ARM Cortex-M85, the latest general-purpose core, aims to meet these demands with its 32-bit Armv8.1-M architecture, offering high performance and power efficiency. The core's Helium technology, M-profile vector extension (MVE), provides significant uplift for ML/DSP appl... » read more

IC Security Issues Grow, Solutions Lag


Experts at the Table: Semiconductor Engineering sat down to talk about the growing chip security threat and what's being done to mitigate it, with Mike Borza, Synopsys scientist; John Hallman, product manager for trust and security at Siemens EDA; Pete Hardee, group director for product management at Cadence; Paul Karazuba, vice president of marketing at Expedera; and Dave Kelf, CEO of Breker V... » read more

100G Ethernet At The Edge


The amount of data is growing, and so is the need to process it closer to the source. The edge is a middle ground between the cloud and the end point, close enough to where data is generated to reduce the time it takes to process that data, yet still powerful enough to analyze that data quickly and send it wherever it is needed. But to make this all work requires faster conduits for that data i... » read more

How Chip Engineers Plan To Use AI


Experts at the Table: Semiconductor Engineering sat down to discuss how AI is being used today and how engineers expect to use it in the future, with Michael Jackson, corporate vice president for R&D at Cadence; Joel Sumner, vice president of semiconductor and electronics engineering at National Instruments; Grace Yu, product and engineering manager at Meta; and David Pan, professor in the ... » read more

Week In Review: Semiconductor Manufacturing, Test


U.S. Senate Majority Leader Chuck Schumer said he launched an effort to establish rules on artificial intelligence to address national security and education concerns, Reuters reported. "Time is of the essence to get ahead of this powerful new technology to prevent potentially wide-ranging damage to society and national security and instead put it to positive use by advancing strong, bipartisan... » read more

Nightmare Fuel: The Hazards Of ML Hardware Accelerators


A major design challenge facing numerous silicon design teams in 2023 is building the right amount of machine learning (ML) performance capability into today’s silicon tape out in anticipation of what the state of the art (SOTA) ML inference models will look like in 2026 and beyond when that silicon will be used in devices in volume production. Given the continuing rapid rate of change in mac... » read more

Week In Review: Semiconductor Manufacturing, Test


The U.S. Commerce Department outlined proposed rules for the Chips for America Incentives Program, including additional details on national security measures applicable to the CHIPS Incentives Program included in the CHIPS and Science Act. The rules limit funding recipients from investing in the expansion of semiconductor manufacturing in foreign countries of concern, notably the People’s Rep... » read more

Options Widen For Optimizing IoT Designs


Creating a successful IoT design requires a deep understanding of the use cases, and a long list of tradeoffs among various components and technologies to provide the best solution at the right price point. Maximizing features and functions while minimizing costs is an ongoing balancing act, and the number of choices can be overwhelming. The menu includes SoC selection, OS and software proto... » read more

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