Category: Technical How-to

Manufacturers often tell us how workforce challenges affect their organizational productivity. If you feel this way, you are not alone. Every quarter, the U.S. National Association of Manufacturers, the trade association that consolidates manufacturer interests, polls CEOs on their primary business challenges. In the latest poll (2023 Fourth Quarter Manufacturers’ Outlook Survey), more than 71% […]

The emergence of generative AI presents tremendous opportunities for advancing technical and business processes in high tech and semiconductor industries. From optimizing complex system design processes to accelerating time-to-market for new products, generative AI has unlimited potential to improve engineering and manufacturing methodologies and processes. Generative design methodologies powered by AI can automatically design chips […]

The semiconductor industry, known for its intricate manufacturing processes, generates a vast amount of sensor data crucial for analytics and machine learning. However, due to legacy systems and complex data infrastructure, collecting this data in real-time and at scale can be a challenging task. This blog post explains some challenges faced by the semiconductor industry […]

Introduction High performance computing (HPC) workloads are becoming complex with the advent of big data, advanced node electronic design automation (EDA) for chip design, and high-precision verification. Enterprises are adopting Amazon Web Services (AWS) to meet the constantly growing compute demands in HPC. Worldwide HPC in the Cloud Forecast 2020–2026 from Hyperion Research (June 2022) […]

Product quality control and surface defect detection in manufacturing is very important for overall product cost reduction and customer satisfaction. Simply relying on humans to visually inspect products is unsatisfactory and does not scale; today’s computer vision models require vast amounts of images data for detection of surface area defects. In today’s smart manufacturing ecosystem, […]

In the rapidly evolving field of IoT in manufacturing and transportation domains, machine learning features create significant value. By utilizing machine learning at the edge, manufacturers can gather insights faster, identify trends, identify patterns, and detect anomalies, all resulting in enhanced security and safety and cost savings. Amazon SageMaker is a fully managed service that […]

Large language models (LLMs) are revolutionizing the way we interact with technology, and AWS HealthLake is no exception. HealthLake is a secure, HIPAA-eligible data lake that allows healthcare organizations to store, transform, and analyze their health data at scale. By combining HealthLake with an LLM, healthcare providers can interact conversationally with their data, gaining insights and making decisions […]

About Daikin Daikin is a leading innovator and worldwide provider of advanced, high-quality air conditioning, heating, and refrigeration solutions for residential, commercial and industrial applications. They are committed to elevating the quality of air in homes, businesses, and public spaces with a complete line of energy-efficient and intelligent products. As a global leader in HVAC&R applications, they […]

Today, AWS is announcing Amazon FinSpace with Managed kdb Insights, a new capability that makes it simple to configure, run, and manage kdb Insights on AWS. KX Systems’ kdb Insights, a high-performance analytics engine, is optimized for analyzing real-time and multi-petabyte historical time series data. Kdb Insights is widely used in capital markets to power […]

Introduction AWS designed Graviton processors aiming to deliver the best price-performance for cloud computing. Since it launched in 2018, many customers of different sizes (start-ups to enterprises) have adopted Graviton for various workloads. Tehama, the world’s first Carrier for Work, has embraced the cost savings and environmental benefits associated with AWS Graviton for their all-in-one […]