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.

The Model Context Protocol (MCP) is an open standard designed to standardize how AI applications (clients/hosts) connect to and interact with external data sources and tools (servers). Think of it ...

Back in 2023, Tesla updated its Model 3 Sedan with a facelift that brought a few new features. Unfortunately for Model 3 buyers, one of those new features involved dropping the traditional turn signal ...

ABSTRACT: This study develops three pairs trading strategies tailored for China’s A-share market, addressing unique constraints including price limits and transaction costs. Using GICS sector 2010 ...

Abstract: Federated Learning (FL), as a privacy-oriented distributed machine learning paradigm, can obtain a well-trained global model without private dataset transferring. Nevertheless, FL is subject ...

ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...

Abstract: It is known that electric power disturbances can cause abnormal equipment operation, resulting in the production line interruptions, equipment damage, product obsolescence, data loss and ...