A Photonic Circuit Architecture Allowing Faster, More Efficient Transfer of Large Amounts of Data


A technical paper titled "Massively scalable Kerr comb-driven silicon photonic link" was published by researchers at Columbia University and Air Force Research Laboratory. Abstract: "The growth of computing needs for artificial intelligence and machine learning is critically challenging data communications in today’s data-centre systems. Data movement, dominated by energy costs and limi... » read more

From Data Center To End Device: AI/ML Inference With GDDR6


Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inference. As inference migrates from the heart of the data center to the network edge, and ultimately to a broad range of AI-powered IoT devices, GDDR memory’s combination of high bandwidth, low latency, power efficiency and suitability for high-volume applications will be incre... » read more

Can AI Write RTL?


Just a few months ago, generative AI was just a promise about what would be possible in the future. Today, nearly everyone with an ounce of curiosity has tried ChatGPT. Most people appear to be somewhat impressed with what it can do, but at the same time see the limitations that it has. As Dean Drako, founder of several companies, told me: "Recently, I needed to write a patent. I described t... » read more

Deep Learning (DL) Applications In Photomask To Wafer Semiconductor Manufacturing


Published by the eBeam Initiative Member Companies (February 2023), this list of artificial intelligence (AI) systems used by member companies in their semiconductor manufacturing products shows progress. New examples of systems using AI include: image processing and parameter tuning in lithography tool mask metrology system B-SPline Control Point generation tool sem... » read more

Accelerate The Algorithm To Silicon Development With Stratus HLS


Growth in demand for artificial intelligence (AI) and digital signal processing (DSP) applications, coupled with advances in semiconductor process technology, drives increasingly denser SoCs. These complex SoCs further challenge the design team’s ability to meet performance, power, and area (PPA) goals within tight time-to-market windows. We need automated and targeted solutions that efficien... » read more

Improving Chip Efficiency, Reliability, And Adaptability


Peter Schneider, director of Fraunhofer Institute for Integrated Circuits' Engineering of Adaptive Systems Division, sat down with Semiconductor Engineering to talk about new models and approaches for ensuring the integrity and responsiveness of systems, and how this can be done within a given power budget and at various speeds. What follows are excerpts of that conversation. SE: Where are y... » read more

FP8: Cross-Industry Hardware Specification For AI Training And Inference (Arm, Intel, Nvidia)


Arm, Intel, and Nvidia proposed a specification for an 8-bit floating point (FP8) format that could provide a common interchangeable format that works for both AI training and inference and allow AI models to operate and perform consistently across hardware platforms. Find the technical paper titled " FP8 Formats For Deep Learning" here. Published Sept 2022. Abstract: "FP8 is a natural p... » read more

Artificial Intelligence 101: It’s Math, Not Magic


The term artificial intelligence (AI) can be somewhat misleading. While the medium of intelligence is designed (and, in that sense, artificial or human-made), the intelligence itself is based on very real data. However, most people hear “AI” and think of futuristic robots or scenes from science fiction movies, not recognizing that the origin of AI is not fictional or magical — it’s math... » read more

Speech Applications Will Enable A New Category Of Edge AI Chips


Speech recognition has become an increasingly important feature in a wide range of devices. Wakewords such as Alexa or OK Google or Siri have now become a standard feature of wearables, smart-speakers, mobile phones, and even laptops. These devices have already shipped in millions of units and consumers are getting better at utilizing this feature. The wakeword recognition feature is slowly evo... » read more

AI At The Edge: Optimizing AI Algorithms Without Sacrificing Accuracy


The ultimate measure of success for AI will be how much it increases productivity in our daily lives. However, the industry has huge challenges in evaluating progress. The vast number of AI applications is in constant churn: finding the right algorithm, optimizing the algorithm, and finding the right tools. In addition, complex hardware engineering is rapidly being updated with many different s... » read more

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