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research#optimization📝 BlogAnalyzed: Jan 10, 2026 05:01

AI Revolutionizes PMUT Design for Enhanced Biomedical Ultrasound

Published:Jan 8, 2026 22:06
1 min read
IEEE Spectrum

Analysis

This article highlights a significant advancement in PMUT design using AI, enabling rapid optimization and performance improvements. The combination of cloud-based simulation and neural surrogates offers a compelling solution for overcoming traditional design challenges, potentially accelerating the development of advanced biomedical devices. The reported 1% mean error suggests high accuracy and reliability of the AI-driven approach.
Reference

Training on 10,000 randomized geometries produces AI surrogates with 1% mean error and sub-millisecond inference for key performance indicators...

Analysis

This paper addresses a significant challenge in MEMS fabrication: the deposition of high-quality, high-scandium content AlScN thin films across large areas. The authors demonstrate a successful approach to overcome issues like abnormal grain growth and stress control, leading to uniform films with excellent piezoelectric properties. This is crucial for advancing MEMS technology.
Reference

The paper reports "exceptionally high deposition rate of 8.7 μm/h with less than 1% AOGs and controllable stress tuning" and "exceptional wafer-average piezoelectric coefficients (d33,f =15.62 pm/V and e31,f = -2.9 C/m2)".

Research#MEMS🔬 ResearchAnalyzed: Jan 10, 2026 07:10

Computational Analysis of Casimir Arc Plate Geometry for MEMS Applications

Published:Dec 26, 2025 19:26
1 min read
ArXiv

Analysis

This article, sourced from ArXiv, suggests a technical investigation into material constraints relevant to micro-electromechanical systems (MEMS). The computational analysis of Casimir arc plate geometry for gold and silver nanomembranes implies a focus on advanced materials science and device design.
Reference

The article's focus is on computational analysis of thickness constraints for gold and silver nanomembranes.

Technology#Machine Learning📝 BlogAnalyzed: Dec 29, 2025 08:34

Real-Time Machine Learning in the Database with Nikita Shamgunov - TWiML Talk #84

Published:Dec 12, 2017 20:43
1 min read
Practical AI

Analysis

This article summarizes a podcast episode from the AWS re:Invent conference, focusing on real-time machine learning within a database context. The discussion centers around MemSQL, a distributed, memory-optimized data warehouse, and its version 6.0 release. The episode highlights the integration of vector operations like dot product and Euclidean distance, enabling applications such as image recognition and predictive analytics. The conversation also covers architectural considerations for enterprise machine learning solutions, including data lakes and Spark, and the performance benefits derived from utilizing Intel's AVX2 and AVX512 instruction sets. The article provides a concise overview of the key topics discussed in the podcast.
Reference

Nikita and I take a deep dive into some of the features of their recently released 6.0 version, which supports built-in vector operations like dot product and euclidean distance to enable machine learning use cases like real-time image recognition, visual search and predictive analytics for IoT.