Frenzy At 10/7nm


The number of chipmakers rushing to 10/7nm is rising, despite a slowdown in Moore's Law scaling and the increased difficulty and cost of developing chips at the most advanced nodes. How long this trend continues remains to be seen. It's likely that 7/5nm will require new manufacturing equipment, tools, materials and transistor structures. Beyond that, there is no industry-accepted roadmap, m... » 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

Toward Defining Qubits


Quantum computing, by many accounts the future of high-performance computing, will be blazing fast, state-dependent, and it will require extremely cold operating temperatures. But beyond some general areas of agreement, comparing progress made by companies or different research groups is confusing. What's missing is a simple nomenclature to define some of the basic technology used in quantum... » 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

Auto Suppliers: More Than Chips


The semiconductor industry is revving up its present and future contributions to advanced driver-assistance systems and autonomous driving. Those areas represent tremendous growth opportunities for chips, modules, and software going into automotive electronics. There’s also the development of artificial intelligence and machine learning applications in automotive design, which are brand new c... » read more

The Week In Review: IoT


Connectivity M1 Limited of Singapore worked with Nokia to launch a nationwide narrowband Internet of Things network, targeting such applications as asset tracking, environmental monitoring, fleet management, and smart energy management for buildings. M1 hopes to boost the IoT ecosystem in Singapore with the new NB-IoT network. M&A DuPont has agreed to acquire Granular, a provider of digita... » read more

The Rising Value Of Data


The volume of data being generated by a spectrum of devices continues to skyrocket. Now the question is what can be done with that data. By Cisco's estimates, traffic on the Internet will be 3.3 zetabytes per year by 2021, up from 1.2 zetabytes in 2016. And if that isn't enough, the flow of data isn't consistent. Traffic on the busiest 60-minute period in a day increased 51% in 2016, compare... » 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

The Week In Review: IoT


Finance Particle, the provider of a full-stack Internet of Things device platform for enterprises, has raised $20 million in Series B funding, bringing its total venture funding to $30 million. Spark Capital led the new round, with participation by Qualcomm Ventures and existing investors in the IoT startup. Machina Research estimates cellular IoT connections will increase from 334 million in ... » read more

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