Week in Review: IoT, Security, Auto


Deals ArterisIP inked a deal with Mobileye, which has bought multiple licenses for ArterisIP's interconnect and resilience technology for functional safety and AI hardware acceleration. Mobileye, which was purchased by Intel last year for $15.3 billion, will use the technology for ISO 26262/ASIL B and D SoCs. Siemens agreed to operate its MindSphere digital operating system on Alibaba Cloud... » read more

How To Test Autonomous Vehicles


By Kevin Fogarty and Ed Sperling The race is on to develop ways of testing autonomous vehicles to prove they are safe under most road conditions, but this has turned out to be much more difficult than initially thought. The autonomous vehicle technology itself is still in various stages of development, with carmakers struggling to fine-tune AI algorithms that can guide robots on wheels th... » read more

FPGAs Drive Deeper Into Cars


FPGAs are reaching deeper and wider inside of automobiles, playing an increasingly important role across more systems within a vehicle as the electronic content continues to grow. The role of FPGAs in automotive cameras and sensors is already well established. But they also are winning sockets inside of a raft of new technologies, ranging from the AI systems that will become the central logi... » read more

Blog Review: July 4


Applied Materials' Sundeep Bajikar argues that to get the full benefits of AI, new computing architectures are needed – and that will require new breakthroughs in materials engineering to get beyond classic 2D scaling. Cadence's Tom Wong considers to what extent chip dis-integration is happening and how the industry can cope with the escalating costs of new process nodes and higher-speed i... » read more

Formal Abstraction And Coverage


For the past three years, Oski Technology has facilitated a gathering of formal verification experts over dinner to discuss the problems and issues that they face. They discuss techniques they have been attempting with formal verification technologies, along with the results they have been achieving. Semiconductor Engineering was there to record that conversation and to condense it into the ... » read more

Tuesday At DAC 2018


The morning starts with the Accellera Breakfast. Accellera has made some significant progress this year and we can expect to hear about the approval of the Portable Stimulus 1.0 specification later in the conference as well as the initial release of SystemC CCI as well as a proposal for the creation of an IP Security Assurance Working Group, which will discuss standards development to address s... » read more

What Else Is In A Node?


In part one of this blog, I reported on the 2018 Industry Strategy Symposium (ISS) where Dan Hutcheson of VLSI Research led a panel with representatives of Synopsys, NVIDIA, Intel, ASML and Applied Materials. The participants discussed how the industry is focused on simultaneously squeezing more capabilities from leading-nodes, inter-nodes and trailing-nodes to drive advances in computing. I to... » read more

Big Trouble At 3nm


As chipmakers begin to ramp up 10nm/7nm technologies in the market, vendors are also gearing up for the development of a next-generation transistor type at 3nm. Some have announced specific plans at 3nm, but the transition to this node is expected to be a long and bumpy one, filled with a slew of technical and cost challenges. For example, the design cost for a 3nm chip could exceed an eye-p... » read more

Blazing-Fast Performance


When it comes to raw performance, there's nothing like a supercomputer. Until recently, though, most of this was simply bragging rights about whose supercomputer was faster. A trillion calculations (petaflop), more or less, doesn't mean that much outside of scientific circles. What's changing is that companies and governments now can utilize these blazing fast machines across a wider swath o... » read more

IBM Takes AI In Different Directions


Jeff Welser, vice president and lab director at IBM Research Almaden, sat down with Semiconductor Engineering to discuss what's changing in artificial intelligence and what challenges still remain. What follows are excerpts of that conversation. SE: What's changing in AI and why? Welser: The most interesting thing in AI right now is that we've moved from narrow AI, where we've proven you... » read more

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