EDA Grabs Bigger Slice Of Chip Market


EDA revenues have been a fairly constant percentage of semiconductor revenues, but that may change in 2019. With new customers creating demand, and some traditional customers shifting focus from advanced nodes, the various branches of the EDA tool industry may be where sticky technical problems are solved. IC manufacturing, packaging and development tools all are finding new ways to handle t... » read more

Mostly Upbeat Outlook For Chips


2019 has started with cautious optimism for the semiconductor industry, despite dark clouds that dot the horizon. Market segments such as cryptocurrencies and virtual reality are not living up to expectations, the market for smart phones appears to be saturated, and DRAM prices are dropping, leading to cut-backs in capital expenditures. EDA companies are talking about sales to China being pu... » read more

Hardware Mathematics for Artificial Intelligence


Article written by John A. Swanson, Sr. Product Marketing Manager, Synopsys Artificial intelligence (AI) has the potential to fundamentally change the way we interact with our devices and live our lives. Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI tasks. The ability to process real world data and create mathematical represen... » read more

Machine Learning For IC Production


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

AI In Chip Manufacturing


Ira Leventhal, New Concept Product Initiative vice president at Advantest, talks with Semiconductor Engineering about using analysis and deep learning to make test more efficient and more effective. https://youtu.be/3VVG4JVnjHo » read more

Fundamental Shifts In 2018


What surprised the industry in 2018?  While business has been strong, markets are changing, product categories are shifting and clouds are forming on the horizon. As 2018 comes to a close, most companies are pretty happy with the way everything turned out. Business has been booming, new product categories developing, and profits are meeting or beating market expectations. "2018 was indeed a... » read more

Compute And AI In Next-Generation SSD Designs


Over the last 40 years digital storage has advanced at an amazing rate. Because it operates out of sight digital storage tends to be taken for granted, but today there is more storage capacity in the devices in our pockets than what existed in mainframe computers 30 years ago. With the rise of artificial intelligence (AI) this trend will continue and the results will be nothing less than astoun... » read more

The DNA of an Artificial Intelligence SoC


Over the past decade, a few advancements have made artificial intelligence (AI) one of the most exciting technologies of our lifetime. In 2012, Geoffrey Everest Hinton demonstrated his generalized back propagation neural network algorithm in the Imagenet challenge, which revolutionized the field of computer vision. However, the math was developed years prior to 2012, and it was the available m... » read more

System Bits: Dec. 4


High precision system for self-driving car navigation Based on technology developed by ETH Zurich researchers, Fixposition is a spin-off specializing in real-time navigation systems for use in self-driving vehicles, robots or industrial drones, which uses a combination of satellite-based positioning systems such as GPS with computer vision technologies to achieve an unparalleled degree of prec... » read more

AI Chip Architectures Race To The Edge


As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

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