Network-on-Chips Enabling Artificial Intelligence/Machine Learning Everywhere

By Frank Schirrmeister - 28 Sep, 2023 - Comments: 0

Recently, I attended the AI HW Summit in Santa Clara and Autosens in Brussels. Artificial intelligence and machine learning (AI/ML) were critical themes for both events, albeit from different angles. While AI/ML as a buzzword is very popular these days in all its good and bad ways, in discussions with customers and prospects, it became clear that we need to be precise in defining what type of A... » read more

IBM’s Energy-Efficient NorthPole AI Unit

By Barry Pangrle - 28 Sep, 2023 - Comments: 0

At this point it is well known that from an energy efficiency standpoint, the biggest bang for the back is to be found at the highest levels of abstraction. Fitting the right architecture to the task at hand i.e., an application specific architecture, will lead to benefits that are hard or impossible to claw back later in the design and implementation flow. With the huge increase in the inter... » read more

Thoughts On AI Consciousness

By Anda Ioana Enescu Buyruk - 28 Sep, 2023 - Comments: 0

By Anda Ioana Enescu Buyruk and Catalin Tudor The rapid advancement of artificial intelligence (AI) has sparked profound discussions regarding the possibility of AI systems achieving consciousness. Such a development carries immense implications, forcing us to redirect our focus from studying the behavior of other organisms to scrutinizing ourselves. This article will delve into the concept ... » read more

Unleashing The Power Of Generative AI In Chip, System, And Product Design

By Cadence - 27 Sep, 2023 - Comments: 0

The field of chip, system, and product design is a complex landscape, fraught with challenges that designers grapple with daily. The traditional design process, while robust, often falls short in addressing the increasing demands for efficiency, customization, and innovation. This white paper delves into these challenges, exploring the transformative potential of generative artificial int... » read more

When And Where To Implement AI/ML In Fabs

By Anne Meixner - 21 Sep, 2023 - Comments: 0

Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The challenge is in pairing their domain expertise with available ML tools to maximize the value of both. This depends on sufficient quantities of good data, highly optimized algorithms, and proper tra... » read more

Quantum Plus AI Widens Cyberattack Threat Concerns

By John Koon - 18 Sep, 2023 - Comments: 1

Quantum computing promises revolutionary changes to the computing paradigm that the semiconductor industry has operated under for decades, but it also raises the prospect of widespread cybersecurity threats. Quantum computing cyberattacks will occur millions of times faster than any assault conventional computing can muster. And while quantum computing is in an early stage of development, ex... » read more

Patterns And Issues In AI Chip Design

By Ed Sperling - 14 Sep, 2023 - Comments: 2

AI is becoming more than a talking point for chip and system design, taking on increasingly complex tasks that are now competitive requirements in many markets. But the inclusion of AI, along with its machine learning and deep learning subcategories, also has injected widespread confusion and uncertainty into every aspect of electronics. This is partly due to the fact that it touches so many... » read more

Your AI Chip Doesn’t Need An Expensive Insurance Policy

By Steve Roddy - 14 Sep, 2023 - Comments: 0

Imagine you are an architect designing a new SoC for an application that needs substantial machine learning inferencing horsepower. The team in marketing has given you a list of ML workloads and performance specs that you need to hit. The in-house designed NPU accelerator works well for these known workloads – things like MobileNet v2 and Resnet50. The accelerator speeds up 95+% of the comput... » read more

LLM Technology For Chip Design

By Steve Brown - 14 Sep, 2023 - Comments: 0

In the nine short months since OpenAI brought ChatGPT (a Chat Generative Pre-Trained Transformer) and the phenomenal concept of large language models (LLMs) to the global collective consciousness, pioneers from every corner of the economy have raced to understand the benefits—and the pitfalls—of deploying this nascent technology to their particular industry. And as it turns out, semicondu... » read more

AI PCB Design: How Generative AI Takes Us From Constraints To Possibilities

By Michael Jackson - 07 Sep, 2023 - Comments: 0

Generative artificial intelligence (AI) represents the next great step forward in PCB design. This is, of course, what you might expect me to say. 2023 has been a year dominated by the rise of generative AI, with large language models (LLMs) as the unquestionable poster child. It’s easy to see why; LLMs seemingly fulfill the promise of sentience, while in reality, they’re simply very goo... » read more

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Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

Key Technologies To Extend EUV To 14 Angstroms

Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

by Laura Peters

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

tag: AI