Week In Review: Design, Low Power

By Jesse Allen - 23 Oct, 2020 - Comments: 0

M&A Microchip Technology acquired LegUp Computing, a provider of a high-level synthesis compiler that automatically generates high-performance FPGA hardware from software. The LegUp HLS tool will be used alongside Microchip’s VectorBlox Accelerator Software Design kit and VectorBlox Neural Networking IP generator to provide a complete front-end solution stack for C/C++ algorithm develope... » read more

Are Better Machine Training Approaches Ahead?

By Bryon Moyer - 01 Jul, 2020 - Comments: 1

We live in a time of unparalleled use of machine learning (ML), but it relies on one approach to training the models that are implemented in artificial neural networks (ANNs) — so named because they’re not neuromorphic. But other training approaches, some of which are more biomimetic than others, are being developed. The big question remains whether any of them will become commercially viab... » read more

System Bits: Aug. 27

By Jeff Dorsch - 27 Aug, 2019 - Comments: 0

A ring of 18 carbon atoms Scientists at IBM Research – Zurich and Oxford University write about allotropes of carbon – the many versions of atomic carbon formations, such as diamonds and graphite. “Carbon, one of the most abundant elements in the universe, can exist in different forms - called allotropes - giving it completely different properties from color to shape to hardness. For... » read more

Blog Review: May 29

By Jesse Allen - 29 May, 2019 - Comments: 0

Cadence's Meera Collier traces the evolution of computing through the series of bottlenecks the industry has needed to overcome and what's being done to address the latest one. Mentor's Rebecca Lord checks out the use of differential signals to mitigate the effects of electromagnetic interference, noise, and crosstalk in PCBs. Synopsys' Taylor Armerding considers whether Ireland's slow en... » read more

Using Analog For AI

By Brian Bailey - 14 Mar, 2019 - Comments: 0

If the only tool you have is a hammer, everything looks like a nail. But development of artificial intelligence (AI) applications and the compute platforms for them may be overlooking an alternative technology—analog. The semiconductor industry has a firm understanding of digital electronics and has been very successful making it scale. It is predictable, has good yield, and while every de... » read more

Week in Review: IoT, Security, Auto

By Jeff Dorsch - 15 Feb, 2019 - Comments: 0

Internet of Things Is Google developing a Pixel Watch wearable? Perhaps, if recent job listings are any indication. The company recently was looking to hire someone as vice president of hardware engineering, wearables. Last month, Fossil Group sold smartwatch technology intellectual property to Google for $40 million, while Google hired certain members of Fossil’s wearables R&D team. ... » read more

System Bits: July 16

By Ann Mutschler - 16 Jul, 2018 - Comments: 0

Test tube AI neural network In a significant step towards demonstrating the capacity to program artificial intelligence into synthetic biomolecular circuits, Caltech researchers have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: correctly identifying handwritten numbers. The work was done in the laboratory of Lulu Qian, assistant p... » read more

Tuesday At DAC 2018

By Brian Bailey - 27 Jun, 2018 - Comments: 0

The morning starts with the Accellera Breakfast. Accellera has made some significant progress this year and we can expect to hear about the approval of the Portable Stimulus 1.0 specification later in the conference as well as the initial release of SystemC CCI as well as a proposal for the creation of an IP Security Assurance Working Group, which will discuss standards development to address s... » read more

Monday At DAC 2018

By Brian Bailey - 26 Jun, 2018 - Comments: 0

DAC #55 started with rumors flying. Will this be the last DAC as we know it? Is there a huge chasm forming between academia and the industry? Will DAC be able to make it in Las Vegas where there is no local interest? Of course, those who have been in the industry know that this kind of speculation happens every few years, and in the 80s, Las Vegas was a very popular location for DAC. There was ... » read more

IBM Takes AI In Different Directions

By Ed Sperling - 06 Jun, 2018 - Comments: 3

Jeff Welser, vice president and lab director at IBM Research Almaden, sat down with Semiconductor Engineering to discuss what's changing in artificial intelligence and what challenges still remain. What follows are excerpts of that conversation. SE: What's changing in AI and why? Welser: The most interesting thing in AI right now is that we've moved from narrow AI, where we've proven you... » 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

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