Machine learning is transforming how information processing works and what it can accomplish. The push to design hardware and networks to support machine learning applications is affecting every aspect of the semiconductor industry. In a video recently published by Synopsys, Navraj Nandra, Sr. Director of Marketing, takes… Read More
On April 17, Mick Posner, Director of Product Marketing, IP Subsystems, Hardening & IP Kit solutions held a Webinar entitled ‘Getting more from your IP Vendor, IP Tuned to Your SoC’. This brought back memories of the challenges in days past of making the right choices in IP selection, integration and validation when prudence… Read More
When it comes to safety, ISO 26262 is the spec that comes to mind for many people. However, there are layers of specifications that enable the level of safety required for automotive and other systems that need high reliability. For any application requiring safety, test is a critical element. A key spec for SOC test is IEEE 1500, … Read More
The second panel is about system coverage and big data. Coverage metrics have been used to gauge the quality of verification efforts during development. At system level, there are still no standardized metrics to measure full coverage. The emergence of PSS, better formal verification, enhanced emulation and prototyping techniques… Read More
In the EDA space, nothing seems to be more fragmented in-term of solutions than in the Design Verification (DV) ecosystem. This was my apparent impression from attending the four panel sessions plus numerous paper presentations given during DVCon 2018 held in San Jose. Both key management and technical leads from DV users community… Read More
The semiconductor industry has gone through several major transitions driven by different dynamics such as shift in business models (fab-centric to fab-less), product segmentation (system design house, IP developers) and end market applications (PC to cloud; and recently, to both automotive and Internet of Things — IOT’s,… Read More
The projected revenue growth rate for IoT electronics remains strong, across a wide range of applications – e.g., visual object identification, voice recognition, machine automation, health and fitness applications, environmental and energy controls. A key component of these designs is the analog-to-digital conversion… Read More
According to the Economist, “The world’s most valuable resource is no longer oil, but data”. Is this the case?Data is the by-product ofmany aspects of recent technology dynamics and is becoming the currency of today’s digital economy. All categories in Gartner’s Top10 Strategic Technology Trends for 2018 (Figure… Read More
I attend a lot of events on machine learning and write about it regularly. However, I learned some exciting new information about machine learning in a very surprising place recently. Every year for the last few years I have attended the HSPICE SIG dinner hosted by Synopsys in Santa Clara. This event starts with a vendor fair featuring… Read More
How could we differentiate between deep learning and machine learning as there are many ways of describing them? A simple definition of these software terms can be found here. Let’s look into Artificial Intelligence (AI), which was coined back in 1956. The term AI can be defined as human intelligence exhibited by machines.… Read More
