Integrated Photonics


Semiconductor Engineering sat down to discuss the status of integrated photonics with Twan Korthorst, CEO for PhoeniX Software; Gilles Lamant, distinguished engineer for [getentity id="22032" e_name="Cadence"]; Bill De Vries, director of marketing for Lumerical Solutions; and Brett Attaway, director of EPDA solutions at AIM Photonics, SUNY Polytechnic Institute. What follows are excerpts of tha... » read more

Executive Insight: Lip-Bu Tan


Semiconductor Engineering sat down with Lip-Bu Tan, president and CEO of [getentity id="22032" e_name="Cadence"], to discuss disruptions and changes in the semiconductor industry, from machine learning and advance packaging to tools and business. What follows are excerpts of that conversation. SE: What do you see as the next big thing? Tan: Unlike mobility or cell phones, or PCs before th... » read more

Executive Insight: Wally Rhines


Wally Rhines, president and CEO of [getentity id="22017" e_name="Mentor, a Siemens Business"], sat down with Semiconductor Engineering to talk about industry consolidation, a shift in emphasis from chips to systems, and what the recent acquisition by Siemens will mean for Mentor. What follows are excerpts of that conversation. SE: A year ago it looked as if the entire industry was going to b... » read more

Tools To Design CNNs


Convolutional neural networks are becoming a mainstay in machine learning and artificial intelligence, allowing a network of distributed sensors to collect data and send them to a central brain for processing. This is a relatively simple idea in comparison to today's technology, and the idea of the [getkc id="261" kc_name="convolutional neural network"] has been around for some time. But bui... » read more

What’s New At Hot Chips


By Jeff Dorsch & Ed Sperling Machine learning, artificial intelligence and neuromorphic computing took center stage at Hot Chips 2017 this week, a significant change from years past where the focus was on architectures that addressed improvements in speed and performance for standard compute problems. What is clear, given the focus of presentations, is that the bleeding edge of comput... » read more

Portable Stimulus Status Report


The first release of the Portable Stimulus (PS) standard is slated for early next year. If it lives up to its promise, it could be the first new language and abstraction for verification in two decades. [getentity id="22028" e_name="Accellera"] uncorked the PS Early Adopter release at the Design Automation Conference (DAC) in June. The standard has been more than two years in the making by t... » read more

Executive Insight: Aart de Geus


Aart de Geus, chairman and co-CEO of [getentity id="22035" e_name="Synopsys"], sat down with Semiconductor Engineering to discuss machine learning and big data, the race toward autonomous vehicles, systems vs. chips, software vs. hardware, and the future of EDA. What follows are excerpts of that conversation. SE: The whole tech world is buzzing over data and how it gets used in areas such as... » read more

When Is Verification Complete?


Deciding when verification is done is becoming a much more difficult decision, prompting verification teams to increasingly rely on metrics rather than just the tests listed in the verification plan. This trend has been underway for the past couple of process nodes, but it takes time to spot trends and determine whether they are real or just aberrations. The Wilson Research Group conducts a ... » read more

Applying Machine Learning


Sundari Mitra, co-founder and CEO of NetSpeed Systems, sat down with Semiconductor Engineering to discuss machine learning, training algorithms, what customers are struggling with today, and how startups fare in an increasingly consolidated semiconductor industry. What follows are excerpts of that conversation. SE: Machine learning is booming. How will this change design? Mitra: This is a... » read more

Using Machine Learning In EDA


Machine learning is beginning to have an impact on the EDA tools business, cutting the cost of designs by allowing tools to suggest solutions to common problems that would take design teams weeks or even months to work through. This reduces the cost of designs. It also potentially expands the market for EDA tools, opening the door to even new design starts and more chips from more compan... » read more

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