The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
Abstract: This study focuses on two important problems related to applying offline model-based optimization to real-world industrial control problems. The first problem is how to create a reliable ...
The test data of metals, brittle materials and polymers in high, medium and low strain-rate range were summarized. It was found that the dynamic strength or yield stress of these materials was not ...
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How a basic wheel became a space engineering problem
Operating on other planets pushed NASA to rethink even the most basic technology. To handle extreme terrain, temperature swings, and vacuum conditions, engineers redesigned the wheel from the ground ...
Abstract: In order to improve the optimization performance of Honey Badger algorithm, this study proposes an enhanced Honey Badger Algorithm (EHBA) based on multi-strategy fusion of chaotic ...
The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.
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