Research Bits: June 24


In-sensor visual processing Researchers from the University of Massachusetts Amherst created silicon-based in-sensor visual processing arrays that can both capture and process visual data in the analog domain to reduce the latency between sensing and identification. The team created two integrated arrays of gate-tunable silicon photodetectors that share bipolar analog output and low-power o... » read more

Analytical Methods For Analyzing PFAS In Semiconductor Wastewater (Oregon State University)


A new technical paper titled "Practical Guidance on Selecting Analytical Methods for PFAS in Semiconductor Manufacturing Wastewater" was published by researchers at Oregon State University, Corvallis. Abstract "The focus of this review is to provide an overview of the nomenclature, structure, and properties of perfluoroalkyl and polyfluoroalkyl substances (PFAS) that dictate the selection o... » read more

Chip Industry Technical Paper Roundup: June 24


New technical papers recently added to Semiconductor Engineering’s library: [table id=442 /] Find more semiconductor research papers here. » read more

EDA’s Top Execs Map Out An AI-Driven Future


Artificial intelligence is permeating the entire semiconductor ecosystem, forcing fundamental changes in AI chips, the design tools used to create them, and the methodologies used to ensure they will work reliably. This is a global race that will redefine nearly every domain over the next decade. In presentations and interviews over the past several months, top EDA executives converged on th... » read more

Machine Intelligence on Wireless Edge Networks with RF Analog Architecture (MIT, Duke)


A new technical paper titled "Machine Intelligence on Wireless Edge Networks" was published by researchers at MIT and Duke University. Abstract "Deep neural network (DNN) inference on power-constrained edge devices is bottlenecked by costly weight storage and data movement. We introduce MIWEN, a radio-frequency (RF) analog architecture that "disaggregates" memory by streaming weights wirele... » read more

Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing (Infineon, U. Padova et al.)


A new technical paper titled "Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing" was published by researchers at Infineon Technologies, University of Padova and University of Bologna. Abstract "In the semiconductor sector, due to high demand but also strong and increasing competition, time to market and quality are key factors in securing significant marke... » read more

Chip Industry Week in Review


Texas Instruments will invest more than $60 billion to build and expand seven semiconductor fabs in Texas and Utah, supporting more than 60,000 U.S. jobs. Chinese automakers — including SAIC Motor, Changan, Great Wall Motor, BYD, Li Auto and Geely — are aiming to launch new models with 100% homemade chips, some as early as 2026, reports Nikkei Asia. Marvell introduced 2nm custom SRAM ... » read more

Examining Mechanical Deformation In Advanced Logic Devices To Enhance Yield


By Sandy Wen and Jacky Huang As dimensions shrink and aspect ratios increase in advanced logic devices, it is increasingly important to reduce structural device variation. Structural device variations can be a proxy for device yield. These variations might include critical dimension (CD), gate CD, gate height, and proximity between neighboring vias. One contributor to structural device v... » read more

Power Delivery Challenges For AI Chips


As artificial intelligence (AI) workloads grow larger and more complex, the various processing elements being developed to process all that data are demanding unprecedented levels of power. But delivering this power efficiently and reliably, without degrading signal integrity or introducing thermal bottlenecks, has created some of the toughest design and manufacturing challenges in semiconducto... » read more

How To Catch “Disappearing” Latent Defects


Automotive is demanding more emphasis on chip reliability. By 2020, electronic devices will account for over 35% of the manufacturing cost of an automobile, and by 2030, that number is expected to rise to 50%. Tens of thousands of cars are manufactured each day, with each car using thousands of chips — and if even one of those chips fails in the field it may have disastrous consequences: los... » read more

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