Manufacturing Bits: June 29


Speeding up ALD with AI The U.S. Department of Energy’s (DOE) Argonne National Laboratory has developed various ways to make atomic layer deposition (ALD) more efficient by using artificial intelligence (AI). ALD is a deposition technique that deposits materials one layer at a time on chips. For years, ALD has been used for the production of DRAMs, logic devices and other products. In ... » read more

One-On-One: Lip-Bu Tan


Lip-Bu Tan, CEO of Cadence, sat down with Semiconductor Engineering to talk about the impact of massive increases in data across a variety of industries, the growing need for computational software, and the potential implications of U.S.-China relations. What follows are excerpts of that discussion. SE: What do you see as the biggest change for the chip industry? Tan: We're in our fifth g... » read more

Power/Performance Bits: May 10


Probabilistic bit Researchers at Tohoku University are working on building probabilistic computers by developing a spintronics-based probabilistic bit (p-bit). The researchers utilized magnetic tunnel junctions (MTJs). Most commonly used in MRAM technology, where thermal fluctuation typically poses a threat to the stable storage of information, in this case it was a benefit. The p-bits f... » read more

Power/Performance Bits: Sept. 22


Drawing sensors on skin Researchers from the University of Houston and University of Chicago created an ink pen that can draw multifunctional sensors and circuits directly on skin. These "drawn-on-skin electronics" aim to provide more precise health data, free of the artifacts that are associated with wearable devices and flexible electronic patches. Caused when the sensor doesn't move prec... » read more

3 Safety Standards For Auto Electronics


Kurt Shuler, vice president of marketing at Arteris IP, drills down into the three main safety standards, ISO 26262, SOTIF (Safety of the Intended Function) and UL 4600, what each one covers, what the intent is behind them, and what this means for companies developing technology for future vehicles. » read more

Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study


Abstract "It has become increasingly difficult to understand the complex interaction between modern applications and main memory, composed of DRAM chips. Manufacturers are now selling and proposing many different types of DRAM, with each DRAM type catering to different needs (e.g., high throughput, low power, high memory density). At the same time, the memory access patterns of prevalent and... » read more

Leveraging Data In Chipmaking


John Kibarian, president and CEO of PDF Solutions, sat down with Semiconductor Engineering to talk about the impact of data analytics on everything from yield and reliability to the inner structure of organizations, how the cloud and edge will work together, and where the big threats are in the future. SE: When did you recognize that data would be so critical to hardware design and manufact... » read more

July’19 Startup Funding


During the month of July, 21 technology startups took in mega-rounds of $100 million or more. Those companies together received more than $7.5 billion. On the other end of the financing spectrum, dozens of startups got seed funding or a Series A round. The dollar amounts were much smaller. Still, they are the beating heart of entrepreneurship around the world. It also was a month when som... » read more

System Bits: July 30


A camera that sees around corners Researchers at Stanford University developed a camera system that can detect moving objects around a corner, looking at single particles of light reflected on a wall. “People talk about building a camera that can see as well as humans for applications such as autonomous cars and robots, but we want to build systems that go well beyond that,” said Gordon... » read more

System Bits: July 3


CMU prof gets a shot at new supercomputer The National Energy Research Scientific Computing Center will greet its Perlmutter supercomputing system in early 2020. The Cray-designed machine will be capable of 100 million billion floating operations per second. Zachary Ulissi of Carnegie Mellon University will be among the first researchers to use the supercomputer. "When this machine comes on... » read more

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