From human clicks to machine intent: Preparing the web for agentic AI

Agents are being asked to emulate human users in an environment designed exclusively for humans. Agents will continue to fail ...
IEEE

Neuromorphic Event Camera-Based Object Recognition and Grasping Position Detection Using a Transfer Learning-Enhanced Multi-Task Model

Abstract: Object recognition and grasping position detection are critical tasks in robotic manipulation, particularly when operating in dynamic and unstructured environments. This paper presents the ...

How Does Pattern Recognition In Machine Learning Revolutionize AI-Powered Crypto Trading?

Pattern recognition and machine learning are revolutionizing the functioning of the crypto market. They convert raw, random ...
Slator

Bridging Human and Machine: How L&D Leaders are Redefining AI in eLearning

AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...
IEEE

Video and Inertial Sensors Fusion for Activity Recognition: A Machine Learning Approach

Abstract: Human activity tracking analyzes mobility using data from several sensors. This paper presents a multisensor model for fall detection and activity recognition utilizing inertial and RGB data ...