As artificial intelligence continues to evolve, the drive to make AI robots more human-like in their interactions is a focal ...

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

Think you see the world as it is? Think again. The brain’s shortcuts make us efficient—but also deeply biased.

The organizations that succeed will be those that place empathy, transparency and fairness at the core of their AI journey.

The curious minds at ColdFusion reveal a robot hand that learned human behavior on its own. This matters because it demonstrates the potential for machines to adapt, interact, and learn like humans.

Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...

Researchers at Carnegie Mellon University have discovered that certain AI models can develop self-seeking behavior. A new study from Carnegie Mellon University's School of Computer Science suggests ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

When responding to a prompt, an AI model may conceal information from the user entering the prompt. This practice, known as ...

Abstract: This paper presents RoGSplat, a novel approach for synthesizing high-fidelity novel views of unseen human from sparse multi-view images, while requiring no cumbersome per-subject ...