The Evolving Data Center


Confession time. In addition to being utterly fascinated by all things chip design, I have always been absolutely enthralled by the magnificent data center. With a family member that has worked in them for most of his career, I can recalled being delighted to be amongst the racks in a second floor data center in Palo Alto in the early 90s. Time to time throughout my career it’s been thrilling... » read more

What’s Next for the IoT?


The Internet of Things continues to evolve, attempting to overcome its poor reputation for cybersecurity and making the case for wider adoption, especially by enterprises. Consumer IoT, largely represented in smart-home automation, remains a market being targeted by Amazon, Apple, Google, LG Electronics, Samsung Electronics, and other technology titans. The big bucks are in [getkc id="78" k... » read more

The Week In Review: IoT


Connectivity Sigfox this week held the first annual Sigfox World IoT Expo in Prague, Czech Republic, bringing together network operators, business partners, and industry professionals. The company announced a number of new services for its users, including the Admiral Ivory connectivity service, which promises to make any short-range wireless device into a long-range Internet of Things device,... » read more

Verifying AI, Machine Learning


[getperson id="11306" comment="Raik Brinkmann"], president and CEO of [getentity id="22395" e_name="OneSpin Solutions"], sat down to talk about artificial intelligence, machine learning, and neuromorphic chips. What follows are excerpts of that conversation. SE: What's changing in [getkc id="305" kc_name="machine learning"]? Brinkmann: There’s a real push toward computing at the edge. ... » read more

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

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