StablecoinX and TLGY Acquisition raised another $530 million to expand digital asset holdings, pushing total commitments to $890 million.

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

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 ...

More than half of US states ban the discredited and harmful practice of conversion therapy for gay people. But former practitioners say it’s making a comeback.

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 ...

Liu, S. (2009) Mathematical Model of Hydrodynamic Torque Converter and Analytic Description of Streamline. Chinese Journal of Mechanical Engineering, 22, 70-77.

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 ...

To deploy PyTorch models on Arm edge devices, you need to optimize the model, prepare the software, and use the right hardware. These steps help you deploy AI applications at the edge.

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-power ...