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.

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

In an era of unprecedented technological advancements, the fusion of quantum AI and cognitive robotics emerges as a groundbreaking development. As someone deeply involved in AI, robotics and ...

A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...

Vassili Kitsios is a senior research scientist at CSIRO, a co-chair of the Machine Learning for Climate and Weather Working Group of the Australian Climate Community Earth System Simulator National ...

MBSE creates a unified digital workflow that spans design, engineering, operations, and maintenance, reducing silos and improving collaboration. It enables full-spectrum simulation from conceptual ...