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April 2018

AI Accelerating Discovery

In early April 2018, the Materials Research Society held their spring meeting and exhibit at the Phoenix, Arizona convention center.  With over 110 symposium presentations, it was difficult to select which sessions to attend.  But one forum caught my eye, “AI for Materials Development”.  These days AI seems to be everywhere.  
 
As we all speculate about the impact of AI on autonomous driving and the next killer app, Carla Gomes, Professor of Computer Science and director of the Institute for Computational Sustainability at Cornell University, is focusing on large-scale constraint-based reasoning.  She pointed out that AI still can’t compete with good ol’ human common sense.  Human reasoning and inference planning are still lacking in most AI systems.  One of the key fundamentals of AI is building a neural network that resembles the human brain.  Even with the advancements of 7nm silicon technology, this is a daunting task, not to mention the complexities of software algorithms to mimic the human thought and decision process.
 
But in the world of materials development, AI excels.  By integrating material experimentation and AI, the discovery of new materials and the application of materials in the real world is progressing at an accelerated pace.  AI is capable of developing the hypotheses and—along with robotics—is following through with new scientific discovery. 
 

Jim Feldhan to Present at The ConFab 2018

Semico Research is pleased to announce Jim Feldhan will be speaking at The ConFab, held May 20-23, 2018 at the Cosmopolitan of Las Vegas.  Jim's speech is titled:  "Emerging Technology Markets Fueling IC Growth" on Wednesday, May 23rd.  

What:  Jim Feldhan at the ConFab 2018
When:  May 20-23, 2018
Where:  The Cosmopolitan Las Vegas

eFPGA IP CAGR to Approach 42.0% through 2022, Says Semico Research

The 3rd Party IP market is a very broad market consisting of IP functions that SoC designers rely on to craft very complex solutions for ever-increasing market requirements.  Looking at the individual market segments by IP function and by quarter reveals many interesting trends that are otherwise obscured.  One of those trends is activity around silicon solutions for Artificial Intelligence (A.I.) along with eFPGA IP.  A new Semico Research Report,

Wafer Demand Expected to Grow 5.2% in 2018, Says Semico Research

Artificial intelligence in the IoT category-especially in automotive, industrial and home automation-has helped boost semiconductor revenues which are expected to increase over 8.5% in 2018. Unit sales will see an increase of 5.4%, while wafer demand is expected to grow 5.2% according to Semico's recent report, Semico Wafer Demand Update Q1 2018 (MA110-18).
 

Semico Wafer Demand: Q1 2018 Highlights

The Wafer Demand Summary and Assumptions is a quarterly publication. It includes an excel spreadsheet with annual wafer demand by product by technology from 2010-2021. Product categories include DRAM, SRAM, NAND, NOR, Other Non-volatile, MPU, MCU, DSP, Computing Micro Logic, Communications, Other Micro Logic, Programmable Logic, Standard Cell, Gate Array, Analog, Discrete, Optoelectronics, Sensors and Digital Bipolar. In addition, there is a summary write-up providing the major assumptions behind the forecast and changes from the previous quarter.

Table of Contents: 

Artificial Intelligence the Next Big Semiconductor Market Driver, says Semico Research

Artificial Intelligence (AI) functionality has emerged into the semiconductor market with many companies participating at all levels of the semiconductor, software, services and IP industries offering a variety of products. The emergence of the AI market represents the 'next big thing' for both the semiconductor industry as well as the overall economy. Deployment has already started in factory floor environments delivering better control and maintenance over a multitude of industrial processes and products.

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