2 Big Shifts, Lots Of Questions


The proliferation of AI everywhere, and ongoing efforts by big systems companies to develop their own chips, could have a profound effect on semiconductor manufacturing for years to come. AI is a multi-faceted topic, but what makes this particularly interesting from a semiconductor standpoint is the architecture of AI-specific chips. So far, most of these chips have been developed for data c... » read more

Some Chipmakers Sidestep Scaling, Others Hedge


The rising cost of developing chips at 7nm coupled with the reduced benefits of scaling have pried open the floodgates for a variety of options involving new materials, architectures and packaging that either were ignored or not fully developed in the past. Some of these approaches are closely tied to new markets, such as assisted and autonomous vehicles, robotics and 5G. Others involve new ... » read more

Machine Learning Moves Into Fab And Mask Shop


Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask manufacturing technologies with Aki Fujimura, chief executive of D2S; Jerry Chen, business and ecosystem development manager at Nvidia; Noriaki Nakayamada, senior technologist at NuFlare; and Mikael Wahlsten, director and product area manager at Mycronic. What follows are excerpt... » read more

The Multiple Faces And Phases Of AI


AI is being used in more ways and more devices—and in more ways in those same devices—raising the level of confusion about exactly what people are talking about when they refer to AI and AI-enabled systems. AI is both a tool and a process. It also is a thing, although not even remotely close to the singularity portrayed by Arthur C. Clarke in 2001. And as it proliferates, it's becoming h... » read more

Week in Review: IoT, Security, Auto


Internet of Things At Arm TechCon, Arm unveiled its Neoverse brand identity, providing an infrastructure foundation for 5G, the Internet of Things, edge computing, and other applications. The Arm Neoverse IP will proliferate next year from Arm and its technology partners. With Arm’s “Ares” platform, to be introduced in 2019, the company promises to deliver 30% per-generation performance ... » read more

The Building Blocks Of Future Compute


Eric Hennenhoefer, vice president of research at Arm, sat down with Semiconductor Engineering to talk about privacy, security, high-performance computing, accelerators, and Arm’s research. What follows are excerpts of that conversation. SE: Privacy, cybersecurity, silicon photonics, quantum computing are all hot topics today. What do you find really interesting with these emerging areas? ... » read more

Week in Review: IoT, Security, Auto


Deals Dialog Semiconductor made a blockbuster deal with Apple – the chip company will license power management technologies and transfer some assets to Apple, which will use them in their internal chip research and development. More than 300 Dialog employees, mostly engineers, will join Apple, which will pay $300 million in cash for the transaction and prepay another $300 million for Dialog ... » read more

Cloud Drives Changes In Network Chip Architectures


Cloud data centers have changed the networking topology and how data moves throughout a large data center, prompting significant changes in the architecture of the chips used to route that data and raising a whole new set of design challenges. Cloud computing has emerged as the fast growing segment of the data center market. In fact, it is expected to grow three-fold in the next few years, a... » read more

Week in Review: IoT, Security, Auto


Internet of Things IBM this week launched the Watson Decision Platform for Agriculture, which combines artificial intelligence, Internet of Things technology, and cloud-based offerings, providing insights to farmers through a managed service. Among other features, growers can deploy drones to send photos to the IBM Cloud for AI-based trend analysis and detection of crop diseases. The platform ... » read more

What Will Intel Do Next?


The writing is on the wall for big processor makers. Apple, Amazon, Facebook and Google are developing their own processors. In addition, there are more than 30 startups developing various types of AI accelerators, as well as a field of embedded FPGA vendors, a couple of discrete FPGA makers, and a slew of soft processor cores. This certainly hasn't been lost on Intel. As the world's largest... » read more

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