S&P Global boosts S&P Capital IQ Pro with AI tools (ProntoNLP, Drift AI) and new datasets for faster financial analysis.
From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...
FedPPO: Reinforcement Learning-Based Client Selection for Federated Learning With Heterogeneous Data
Abstract: Federated Learning (FL) enables multiple data owners to jointly train a machine learning model, which can improve joint environmental cognitive capability without disclosing their private ...
For now, it does not support navigation properties, complex types, owned types, shadow properties, or inheritance, but they are in the roadmap.
See Configuring Claude Desktop / Claude Code for examples. A comprehensive Microsoft SQL Server client implementing the Model Context Protocol (MCP). This server provides extensive SQL Server ...
Reliable, scalable AI depends on reinventing the data core — not just upgrading technology — and using business-driven, reusable, and compliant data foundations The real bottleneck for AI is the data ...
Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice when building microservices. “It is tempting, if the only tool you have is ...
Abstract: Federated Learning (FL) is a distributed machine learning paradigm involving multiple clients to train a server model. In practice, clients often possess limited data and are not always ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results