ML Opening New Doors For FPGAs


FPGAs have long been used in the early stages of any new digital technology, given their utility for prototyping and rapid evolution. But with machine learning, FPGAs are showing benefits beyond those of more conventional solutions. This opens up a hot new market for FPGAs, which traditionally have been hard to sustain in high-volume production due to pricing, and hard to use for battery-dri... » read more

Challenges In Building Smarter Systems


Semiconductor Engineering sat down to define what the edge will look like with Jeff DeAngelis, managing director of the Industrial and Healthcare Business Unit at Maxim Integrated; Norman Chang, chief technologist at Ansys; Andrew Grant, senior director of artificial intelligence at Imagination Technologies; Thomas Ensergueix, senior director of the automotive and IoT line of business at Arm; V... » read more

Simplifying And Speeding Up Verification


Semiconductor Engineering sat down to discuss what's ahead for verification with Daniel Schostak, Arm fellow and verification architect; Ty Garibay, vice president of hardware engineering at Mythic; Balachandran Rajendran, CTO at Dell EMC; Saad Godil, director of applied deep learning research at Nvidia; Nasr Ullah, senior director of performance architecture at SiFive. What follows are excerpt... » read more

3 Challenges In Edge Designs


As companies begin exploring what will be necessary to win at the edge, they are coming up with some daunting challenges. Designing chips for the edge is far different than for the IoT/IIoT. The idea with the IoT was that simple sensors would relay data through a gateway to the cloud, where it would be processed and data could be sent back to the device as needed. That works if it's a small ... » read more

Week In Review: Auto, Security, Pervasive Computing


Edge, cloud, data center Programmable logic company Efinix used Cadence’s Digital Full Flow to finish Efinix’s Trion FPGA family for edge computing, AI/ML and vision processing applications, according to a press release. Last week Efinix also announced three software defined SoCs based on the RISC-V core. The SoCs are optimized to the Trion FPGAs. AI, machine learning Amazon will tempo... » read more

AI, 5G, IoT Combine In The Fifth Wave Of Computing


Something hugely positive is happening as a result of AI, 5G and the Internet of Things (IoT) reaching maturity at the same time. Like three kids growing up together, these technologies are feeding off each other’s energy and enhancing each other’s impact on the world. It’s this union, far greater than the sum of its parts, that I call the Fifth Wave of Computing. Why the fifth? We�... » read more

Startup Funding: May 2020


It was a good month for semiconductor startups, with investment spanning a larger company in later funding rounds to brand new seed funding for two chip manufacturing startups. Two AI hardware startups bridge data center and edge, plus EV companies around the world get funding. In total, the eighteen startups profiled this month raised $446.3 million. Semiconductor & design Shanghai-based ... » read more

Designing The Next Big Things


The edge is a humongous opportunity for the semiconductor industry. The problem, despite its name, is that it's not a single thing. It will be comprised of thousands of different chips and systems, and very few will be sold in large volumes. The edge is the culmination of decades of improvement in power and performance, coupled with the architectural creativity that has exploded since the bene... » read more

AI Drives A New Wave For Semiconductors


In Cadence's recent earnings call, Lip-Bu Tan, our CEO, talked about the five waves that are hitting us simultaneously. Here's what he said: First of all, I'm excited about this industry, because it's very unusual to have five major waves happening at the same time. You have the AI machine learning wave and you have 5G is starting to deploy and then you have the hyperscale guy, the really mas... » read more

Hardware Security For AI Accelerators


Dedicated accelerator hardware for artificial intelligence and machine learning (AI/ML) algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators handle valuable data and models, and face a growing threat landscape putting AI/ML assets at risk. Using fundamental cryptographic security techniques performed by a hardware root of trust can safeguard these as... » read more

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