Author's Latest Posts


Architecting For AI


Semiconductor Engineering sat down to talk about what is needed today to enable artificial intelligence training and inferencing with Manoj Roge, vice president, strategic planning at Achronix; Ty Garibay, CTO at Arteris IP; Chris Rowen, CEO of Babblelabs; David White, distinguished engineer at Cadence; Cheng Wang, senior VP engineering at Flex Logix; and Raik Brinkmann, president and CEO of O... » read more

System Bits: July 16


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

System Bits: July 10


Foldable electronic switches and sensors Using inexpensive materials, UC Berkeley engineers have created a method to fabricate foldable electronic switches and sensors directly onto paper, along with prototype generators, supercapacitors and other electronic devices for what they said is a range of applications. Besides the fact that it is readily available and low cost, the team pointed ou... » read more

Flexibility A Key For Future Cars


First, a bit of eye candy seen in IC Manage’s booth at the recent Design Automation Conference in San Francisco. The McLaren P1 GTR. It was impossible not to stop and drool over this gorgeous, non-street-legal racecar, where all bets are off when it comes to following safety and reliability specifications. [caption id="attachment_24135661" align="alignleft" width="300"] Source: Dean Dra... » read more

FPGAs Drive Deeper Into Cars


FPGAs are reaching deeper and wider inside of automobiles, playing an increasingly important role across more systems within a vehicle as the electronic content continues to grow. The role of FPGAs in automotive cameras and sensors is already well established. But they also are winning sockets inside of a raft of new technologies, ranging from the AI systems that will become the central logi... » read more

Design Reuse Vs. Abstraction


Chip designers have been constantly searching for a hardware description language abstraction level higher than RTL for a few decades. But not everyone is moving in that direction, and there appear to be enough options available through design reuse to forestall that shift for many chipmakers. Pushing to new levels of abstraction is frequent topic of discussion in the design world, particula... » read more

System Bits: July 3


Machine learning network for personalized autism therapy MIT Media Lab researchers have developed a personalized deep learning network for therapy use with children with autism spectrum conditions. They reminded these children often have trouble recognizing the emotional states of people around them, such as distinguishing a happy face from a fearful face. To help with this, some therapists... » read more

Adding NoCs To FPGA SoCs


FPGA SoCs straddle the line between flexibility and performance by combining elements of both FPGAs and ASICs. But as they find a home in more safety- and mission-critical markets, they also are facing some of the same issues as standard SoCs, including the ability to move larger and larger amounts of data quickly throughout an increasingly complex device, and the difficulty in verifying and de... » read more

System Bits: June 26


I’m enjoying a very busy Design Automation Conference this week in San Francisco, and on the lookout for interesting research topics here. In the meantime, enjoy a few interesting items from around the globe. AI platform diagnoses Zika and other pathogens University of Campinas (UNICAMP) researchers in Brazil have developed an AI platform that can diagnose several diseases with a high deg... » read more

Defining Edge Memory Requirements


Defining edge computing memory requirements is a growing problem for chipmakers vying for a piece of this market, because it varies by platform, by application, and even by use case. Edge computing plays a role in artificial intelligence, automotive, IoT, data centers, as well as wearables, and each has significantly different memory requirements. So it's important to have memory requirement... » read more

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