What’s Next With AI In Fabs?


Semiconductor Engineering sat down to discuss the issues and challenges with machine learning in semiconductor manufacturing with Kurt Ronse, director of the advanced lithography program at Imec; Yudong Hao, senior director of marketing at Onto Innovation; Romain Roux, data scientist at Mycronic; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. Part one ... » read more

Manufacturing Bits: April 21


Memristors reappear The University of Massachusetts Amherst has taken a step towards of the realization of neuromorphic computing--it has devised bio-voltage memristors based on protein nanowires. In neuromorphic computing, the idea is to bring the memory closer to the processing tasks to speed up a system. For this, the industry is attempting to replicate the brain in silicon. The goal is ... » read more

Artificial Intelligence Is Everywhere


It’s pretty hard to talk about technology today without artificial intelligence, or AI, entering into the conversation. It seems to be everywhere… and growing. Businesses are using it to operate more efficiently, it’s resulting in safer and more useful products, and it has the promise of allowing us to personalize our worlds as devices learn our preferences. The age of AI AI refers to t... » read more

Covid-19 Tech Bits: April 14


Modeling coronavirus spread Four teams of Finnish researchers have modeled the coughing spread of COVID-19 in tight indoor areas, such as grocery stores and public transportation systems, using a supercomputer and 3D visualization. “The aerosol cloud spreads outside the immediate vicinity of the coughing person and dilutes in the process," said Aalto University Assistant Professor Ville V... » read more

2.5D Architecture Answers AI Training’s Call for “All of the Above”


The impact of AI/ML grows daily impacting every industry and touching the lives of everyone. In marketing, healthcare, retail, transportation, manufacturing and more, AI/ML is a catalyst for great change. This rapid advance is powerfully illustrated by the growth in AI/ML training capabilities which have since 2012 grown by a factor of 10X every year. Today, AI/ML neural network training mod... » read more

Designing Ultra Low Power AI Processors


AI chip design is beginning to shift direction as more computing moves to the edge, adding a level of sophistication and functionality that typically was relegated to the cloud, but in a power envelope compatible with a battery. These changes leverage many existing tools, techniques and best practices for chip design. But they also are beginning to incorporate a variety of new approaches tha... » read more

Data Center Hyperscaling


As we move in to 2020 it’s clear that every sector of industry, including the semiconductor industry, will have a responsibility to address growing environmental concerns. We should be aware that as our sector underpins the growth in AI, 5G telecommunications, crypto-currency and high performance compute applications, it is predicted that by 2030 energy consumption attributable to data center... » read more

What Is DRAM’s Future?


Memory — and DRAM in particular — has moved into the spotlight as it finds itself in the critical path to greater system performance. This isn't the first time DRAM has been the center of attention involving performance. The problem is that not everything progresses at the same rate, creating serial bottlenecks in everything from processor performance to transistor design, and even the t... » read more

Startup Funding: March 2020


Dedicated AI hardware, quantum computing, and avionics startups shined in March. Here's a look at seventeen startups, which raised a collective $525M. The avionics sector soared thanks to Lilium and its electric vertical takeoff jet. Quantum computing was another hot area, with three companies bringing in ~$88M together. Plus, chip design management, two companies developing AR glasses, and how... » read more

AI Requires Tailored DRAM Solutions


For over 30 years, DRAM has continuously adapted to the needs of each new wave of hardware spanning PCs, game consoles, mobile phones and cloud servers. Each generation of hardware required DRAM to hit new benchmarks in bandwidth, latency, power or capacity. Looking ahead, the 2020s will be the decade of artificial intelligence/machine learning (AI/ML) touching every industry and applicatio... » read more

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