AI And Big Data Set To Reinvent Semiconductor Industry

By Regina Freed - 23 Jan, 2020 - Comments: 0

The recent IEEE International Electron Devices Meeting (IEDM) reaffirmed that the semiconductor industry is in a period of reinvention as we grapple with the challenges and opportunities promised by the Internet of Things (IoT), Big Data and AI. That such change is underway was made evident by a panel I was honored to moderate titled, “The Future of Logic: EUV is Here, Now What?” Joining... » read more

Co-Design For The AI Era

By Buvna Ayyagari-Sangamalli - 17 Dec, 2019 - Comments: 0

Welcome to the second piece in our blog series examining how the computing industry can work in new ways to enable the AI Era. In our first blog, my colleague Ellie Yieh described the enormous opportunities and challenges facing the industry as we enter a new decade, and she offered a path for accelerating innovation—from materials to systems—based on a “New Playbook” for driving im... » read more

A New Playbook For The AI Era

By Ellie Yieh - 21 Nov, 2019 - Comments: 0

It’s Q4 in Silicon Valley, which means that most tech enterprises are in strategic planning mode, taking stock of where they are today and charting a course for where they want to be over the next few years. This year’s Q4 planning cycle needs to be a little different: the opportunities before us are an order of magnitude larger. So are the challenges. To get to where we need to be, our�... » read more

A Quantum Future Approaches

By Kenichi Ohno - 17 Oct, 2019 - Comments: 0

By Kenichi Ohno, Robert Visser, and Nir Yahav We often think quantum technology is a far-off future. Thanks to decades-long research on the elemental technologies and recent breakthroughs, the emergence of quantum may happen sooner than later. Large enterprises, start-ups, government agencies and research organizations around the world are investing billions of dollars to scale quantum techn... » read more

VC Perspectives On An AI Summer

By Michael Stewart - 19 Sep, 2019 - Comments: 0

It’s been a busy summer for Applied Ventures. Our team has had many interactions in the startup and investing space, and added some new companies to our portfolio. I’ll be sharing highlights of these activities in a series of upcoming blogs, but first I’d like to reflect on current market developments in machine learning and how they are affecting VC investment patterns. Strategic inve... » read more

Silicon Carbide’s Superpowers

By Llew Vaughan-Edmunds - 15 Aug, 2019 - Comments: 0

As we enter a new computing era driven by the Internet of Things (IoT), Big Data and Artificial Intelligence (AI), demand is growing for more energy-efficient chips. In this context, we usually think about Moore’s Law and reducing the size of transistors. However, advances in power semiconductors are not governed by node size reduction. Silicon power switches, such as MOSFETs and IGBTs, ar... » read more

Process Control For Next-Generation Memories

By Niranjan Khasgiwale - 18 Jul, 2019 - Comments: 0

The Internet of Things (IoT), Big Data and Artificial Intelligence (AI) are driving the need for higher speeds and more power-efficient computing. The industry is responding by bringing new memory technologies to the marketplace. Three new types of memory in particular—MRAM (magnetic random access memory), PCRAM (phase change RAM) and ReRAM (resistive RAM)—are emerging as leading candidat... » read more

New Applications Call For New Memory Types

By Sean SK Kang - 20 Jun, 2019 - Comments: 0

The semiconductor industry is on the verge of a transformative computing era driven by Big Data, Artificial Intelligence (AI) and the Internet of Things (IoT). However, achieving the improvements in computing performance and efficiency needed for new AI and IoT applications represent some of the biggest technology challenges the industry has faced. Among the most critical requirements is del... » read more

New Imaging Tech Finds Buried Defects

By Shinsuke Mizuno - 23 May, 2019 - Comments: 0

By Shinsuke Mizuno and Vadim Kuchik Defects and contamination on the wafer can slow process development times and limit performance and yield. As chips get more complex, more defects can become buried within the increasing number of layers in the design. Finding and analyzing these buried defects is a major challenge for the industry, especially during the early learning cycles of new manufa... » read more

Comparing New Memory Types

By Gill Lee - 18 Apr, 2019 - Comments: 0

After decades of research and development, three new types of memory—magnetic RAM (MRAM), phase change memory (PCRAM) and resistive RAM (ReRAM)—are moving toward commercial adoption, making this an exciting time for the semiconductor and computing industries. All three of these emerging memories are enabled by new materials and will require breakthroughs in process technology and manufactur... » 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

NAND Flash Targets 1,000 Layers

New techniques go beyond improved deposition and etching, but challenges stack up, too.

by Bryon Moyer

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

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

New AI Processors Architectures Balance Speed With Efficiency

Hot Chips 24: Large language models ratchet up pressure for sustainable computing and heterogeneous integration; data management becomes key differentiator.

by Ed Sperling

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