Given this, we propose an auto encoder-based hybrid detection model, abbreviated as AHDM, for the intrusion detection with small-sample problem. AHDM has a dual classifier framework. It trains first ...

The festival also saw the launch of a ‘Model Farms’ project, adding 100 acres to the existing area under grape cultivation. The total area now stands at 127 acres, with an expected output of 635 ...

Artist Terence Broad makes AI produce images without any training data at all.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

MiniMax-M1 supports the world's longest context window of 1 million tokens input and 80,000 tokens output, and is touted as using the most cutting-edge agent among open source models.

Artificial neural network method is a common method for short-term electricity price forecasting. However, when the amount of input and output data is large, the training speed will be slow, and it is ...

@afland I meant you can change the device map from auto to cuda Ok, I will try later. A change in the config that I found weird is that the EasyR1 checkpoint contains "lm_head.weight" in ...