tag: artificial intelligence

How ML Enables Cadence Digital Tools To Deliver Better PPA
By Cadence - 09 Sep, 2020 - Comments: 0

Artificial intelligence (AI) and machine learning (ML) are emerging as powerful new ways to do old things more efficiently, which is the benchmark that any new and potentially disruptive technology must meet. In chip design, results are measured in many different ways, but common metrics are power (consumed), performance (provided), and area (required), collectively referred to as PPA. These me... » read more

From Data Center To End Device: AI/ML Inferencing With GDDR6
By Rambus - 09 Sep, 2020 - Comments: 0

Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inferencing. As inferencing 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 i... » read more

Challenges In Using AI In Verification
By Ann Mutschler - 27 Aug, 2020 - Comments: 0

Pressure to use AI/ML techniques in design and verification is growing as the amount of data generated from complex chips continues to explode, but how to begin building those capabilities into tools, flows and methodologies isn't always obvious. For starters, there is debate about whether the data needs to be better understood before those techniques are used, or whether it's best to figure... » read more

Artificial Intelligence And Machine Learning Add New Capabilities to Traditional RF EDA Tools
By Cadence - 26 Aug, 2020 - Comments: 0

This article features contributions from RF EDA vendors on their various capabilities for artificial intelligence and machine learning. AWR Design Environment software is featured and highlights the network synthesis wizard. Click here to continue reading. » read more

CodaCache: Helping to Break the Memory Wall
By Arteris - 04 Aug, 2020 - Comments: 0

As artificial intelligence (AI) and autonomous vehicle systems have grown in complexity, system performance needs have begun to conflict with latency and power consumption requirements. This dilemma is forcing semiconductor engineers to re-architect their system-on-chip (SoC) designs to provide more scalable levels of performance, flexibility, efficiency, and integration. From the edge to data ... » read more

3 Types Of AI Hardware
By Ed Sperling - 20 Jul, 2020 - Comments: 1

As AI chips become more pervasive, three primary approaches are moving to the forefront. Bradley Geden, director of product marketing at Synopsys, looks at how to take advantage of repeatability, what the different flavors look like, the difference between flat and hierarchical design, and what impact black-box arrays have on programmability. » read more

What’s After 5G
By Bryon Moyer - 20 Jul, 2020 - Comments: 1

This year’s IEEE Symposia on VLSI Technology and Circuits (VLSI 2020) included a presentation by NTT Docomo that looked far into the future of cellular communications, setting the stage for a broad industry shift in communication. This is far from trivial. 5G only just recently entered the commercial world, and — especially with the higher millimeter-wave (mmWave) frequencies — it has ... » read more

It’s Eternal Spring For AI
By Rama Chellappa - 14 Jul, 2020 - Comments: 0

The field of Artificial Intelligence (AI) has had many ups and downs largely due to unrealistic expectations created by everyone involved including researchers, sponsors, developers, and even consumers. The “reemergence” of AI has lot to do with recent developments in supporting technologies and fields such as sensors, computing at macro and micro scales, communication networks and progre... » read more

Week In Review: Auto, Security, Pervasive Computing
By SE Staff - 02 Jul, 2020 - Comments: 0

The American Foundries Act, a bipartisan initiative to revive U.S. leadership in the global microelectronics sector, was announced by U.S. Democratic Senator Chuck Schumer from New York. “The economic and national security risks posed by relying too heavily on foreign semiconductor suppliers cannot be ignored, and Upstate New York, which has a robust semiconductor sector, is the perfect place... » 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

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