1X has rolled out a major AI update for its humanoid robot NEO, introducing what it calls the 1X World Model. The company ...

Large language models often lie and cheat. We can’t stop that—but we can make them own up. OpenAI is testing another new way to expose the complicated processes at work inside large language models.

Abstract: Understanding the behavior of large language models (LLMs) is crucial for ensuring their safe and reliable use. However, existing explainable AI (XAI) methods for LLMs primarily rely on word ...

Novice nurses are easily stressed by their workload, low practical skills, high expectations, and the gap between school learning and practice. These stresses may reinforce maladaptive behaviors and ...

The hype around AI has dominated conversations among top executives. Yet most organizations are still struggling to generate meaningful returns from their AI initiatives. Jin Li is Zhang Yonghong ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Engineers combine measured data, multi-level behavioral models, and simulation tools to predict real-world performance across complex RF and wireless systems. Modern RF and wireless systems push the ...

In this example, we demonstrate how to model power electronics devices that perform current control using MathWorks products, focusing on: The modeling style introduced in this example is not a ...

Forbes contributors publish independent expert analyses and insights. William Arruda covers personal branding, leadership, and careers. Leaders are always on the lookout for their replacements. It’s a ...

Introduction: Conventional health-related models used to predict health behaviors have limited predictive power, as they fail to accurately capture an individual’s health experience, which correlates ...

Objectives: This study aims to assess the understanding of policies, cognitive awareness, and medical behavior patterns among healthcare workers about the reform of the diagnosis-related group (DRG) ...