Cerfe Labs: Spin-On Memory


Arm has spun off one of its more intriguing semiconductor research projects, a new non-volatile memory type called correlated electron materials RAM (CeRAM) that holds the potential to substantially reduce the cost of memory in everything from edge devices to high-performance computing. Headed by two former Arm Research insiders — Eric Hennenhoefer, who will serve as CEO and Greg Yeric, wh... » read more

Security At The Edge


Semiconductor Engineering sat down to discuss security at the edge with Steven Woo, vice president of enterprise solutions technology and distinguished inventor at Rambus, Kris Ardis, executive director at Maxim Integrated; and Steve Roddy, vice president of Arm's Products Learning Group. What follows are excerpts of that conversation. To view part one of this discussion, click here. Part two i... » read more

Deals That Change The Chip Industry


Nvidia's pending $40 billion acquisition of Arm is expected to have a big impact on the chip world, but it will take years before the effects of this deal are fully understood. More such deals are expected over the next couple of years due to several factors — there is a fresh supply of startups with innovative technology, interest rates are low, and market caps and stock prices of buyers ... » read more

Integrity Problems For Edge Devices


Battery-powered edge devices need to save every picojoule of energy they can, which often means running at very low voltages. This can create signal and power integrity issues normally seen at the very latest technology nodes. But because these tend to be lower-volume, lower-cost devices, developers often cannot afford to perform the same level of analysis on these devices. Noise can come in... » read more

Nvidia To Buy Arm For $40B


Nvidia inked a deal with Softbank to buy Arm for $40 billion, combining the No. 1 AI/ML GPU maker with the No. 1 processor IP company. Assuming the deal wins regulatory approval, the combination of these two companies will create a powerhouse in the AI/ML world. Nvidia's GPUs are the go-to platform for training algorithms, while Arm has a broad portfolio of AI/ML processor cores. Arm also ha... » read more

AI & IP In Edge Computing For Faster 5G And The IoT


Edge computing, which is the concept of processing and analyzing data in servers closer to the applications they serve, is growing in popularity and opening new markets for established telecom providers, semiconductor startups, and new software ecosystems. It’s brilliant how technology has come together over the last several decades to enable this new space starting with Big Data and the idea... » read more

Compiling And Optimizing Neural Nets


Edge inference engines often run a slimmed-down real-time engine that interprets a neural-network model, invoking kernels as it goes. But higher performance can be achieved by pre-compiling the model and running it directly, with no interpretation — as long as the use case permits it. At compile time, optimizations are possible that wouldn’t be available if interpreting. By quantizing au... » read more

Customization And Limitations At The Edge


Semiconductor Engineering sat down to discuss the edge constraints and the need for security 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... » read more

Challenges For A Post-Moore’s Law World


Semiconductor Engineering sat down to discuss challenges at the edge, the impact of open-source, and how to attract new talent, with Simon Segars, CEO of Arm; Joseph Sawicki, executive vice president of IC EDA at Mentor, a Siemens Business; Raik Brinkmann, CEO of OneSpin Solutions; Babak Taheri, CEO of Silvaco; John Kibarian, CEO of PDF Solutions; and Prakash Narain, CEO of Real Intent. The con... » read more

Rethinking Architectures Based On Power


The newest chips being developed for everything from the cloud to the edge of the network look nothing like designs of even a year or two ago. They are architected for speed, from the throughput of high-speed buses and external interconnects to the customized accelerators and arrays of redundant MACs. But many of these designs have barely scratched the surface for saving power, which will becom... » read more

← Older posts