The IMF study on Parameter Proliferation in Nowcasting shows that simpler, well-structured models guided by economic ...
A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...
A new method can secretly watermark ChatGPT-like models in seconds without retraining, leaving no trace in general output and ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.
AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...