Applying Machine Learning To Chips

The race is on to figure out how to apply analytics, data mining and machine learning across a wide swath of market segments and applications, and nowhere is this more evident than in semiconductor design and manufacturing. The key with ML/DL/AI is understanding how devices react to real events and stimuli, and how future devices can be optimized. That requires sifting through an expandi... » read more

The New Deep Learning Memory Architectures You Should Know About

Artificial intelligence (AI) has come a long way. While our parents grew up with the dream to one day roam with robots, today we are interviewing Sophia, a citizen of Saudi Arabia, who is also the first humanoid robot to be granted a citizenship in any country. Deep learning, a brain-inspired discipline of AI has been around for a long time but has only recently taken off due to abundant data, ... » read more

AI: The Next Big Thing

The next big thing isn't actually a thing. It's a set of finely tuned statistical models. But developing, optimizing and utilizing those models, which collectively fit under the umbrella of artificial intelligence, will require some of the most advanced semiconductors ever developed. The demand for artificial intelligence is almost ubiquitous. As with all "next big things," it is a horizonta... » read more

New Applications, Multiple Approaches

It may be tempting to view the strong demand for semiconductors as just one more up-cycle in our traditionally cyclical industry, but what’s really driving things right now is the opening of entirely new horizons, made possible by the increased capabilities of today’s chips. Chip demand is no longer only being driven by the needs of computer and smartphone manufacturers. Now, a mushroomi... » read more

Blog Review: Mar. 14

Cadence's Meera Collier considers the issues of bias implementation in algorithms and AI systems, and whether immense training sets can really solve the problem. Mentor's Cristian Filip digs into the evolution of signal integrity analysis methods and why different data rates require different solutions. Synopsys' Naveen G explains key features introduced in the latest generation of interc... » read more

Multiphysics Reliability Signoff For Next-Gen Auto Electronics Systems

The automotive industry is in the midst of a sea change. Growing market needs for electrification, connectivity on the go, advanced driver assistance systems, and ultimately the goal of autonomous driving, are creating newer requirements and greater challenges. A chassis on four wheels is now fitted with cameras, radar and other sensors, which will be the eyes of the driverless car, as well as ... » read more

The Week In Review: Design

M&A Microchip inked an agreement to acquire Microsemi, provider of chips for defense and aerospace, for $68.78 per share in cash. The acquisition price represents a total equity value of about $8.35 billion and a total enterprise value of about $10.15 billion, according to Microchip. The deal is expected to close in the second quarter of 2018. Silvaco acquired NanGate. Founded in 2004, ... » read more

Exponentials At The Edge

The age of portable communication has set off a scramble for devices that can achieve almost anything a desktop computer could handle even five years ago. But this is just the beginning. The big breakthrough with mobile devices was the ability to combine voice calls, text and eventually e-mail, providing the rudiments of a mobile office-all on a single charge of a battery that was light enou... » read more

How AI Impacts Memory Systems

Throughout the 1980’s and early 1990’s computer systems were bottlenecked by relatively slow CPU performance, thereby limiting what applications could do. Driven by Moore’s Law, transistor counts increased significantly over the years, improving system performance and enabling exciting new computing possibilities. Although computing capabilities have advanced significantly in recen... » read more

Intelligence At The Edge Is Transforming Our World

Innovation comes in all forms in technology, from software and hardware to displays all the way to the human-machine interface. As devices and systems become more intelligent, the onus on humans to learn the machine’s ways is shifting. Until now, interaction with smart devices has largely relied on our ability to manipulate the machines; to learn their language to input and extract the inform... » read more

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