Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...

By combining AI with molecular dynamics simulations, researchers at the Department of Energy's Oak Ridge National Laboratory have developed a new tool to more accurately predict how plants and helpful ...

In fect, we had tried the torch pt->onnx-> tensorrt fp16 pipeline to convert pytorch AMP trained checkpoint into trt model format, but the inference results are noisey. while pt->onnx-> tensorrt fp32 ...

He remembers walking towards the worst experience of his life. The dorm hall was a concrete tunnel, with chipped white paint on the walls and a stench of sweat trapped inside. The stairs, he recalls, ...

Anthropic launched Claude Opus 4.1. The model exceeds the predecessor's performance on complex tasks. It is available to paid Claude users, Claude Code, API, Amazon Bedrock, and Google Cloud's Vertex ...

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...

According to @data_and_ai, out-of-the-box PyTorch models continue training even when the underlying infrastructure experiences failures, raising concerns about model reliability and consistency in ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Abstract: With the development of neural network technology, Spiking Neural Networks (SNNs) have shown great potential in edge computing and embedded systems due to their biologically inspired and low ...