In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Artificial intelligence has become an ally in cybersecurity by 2025, with 60% of organizations reporting using it in their IT ...

Accurate simulation of crop growth processes for predicting final yield is critical for optimizing resource management, particularly in regions with variable climates and limited resource availability ...

Abstract: Conventional data-driven dynamic process monitoring methods usually rely on data collected at a single sampling rate. The effectiveness of these approaches typically diminishes when ...

Abstract: This white paper looks at threat modeling as a practical way for businesses to identify cyberrisk in an increasingly complex environment. Threat modeling enables enterprises to identify, ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

SqlDBM, the leading cloud-native data modeling platform for the enterprise, today announces the release of its Model Context Protocol (MCP) Server live at Databricks Data + AI Summit 2025. This ...

Simulation is playing an increasingly critical and central role throughout the design-through-manufacturing flow, fusing together everything from design to manufacturing and test in order to reduce ...