Researchers propose SineKAN, a novel neural network architecture that replaces B-spline activations in KANs with sinusoidal functions.

New Pew Research shows AI summaries in Google search correlate with a significant drop in outbound clicks.

A machine learning engineer trained an image generation model on a microcontroller with extremely limited memory.

New SSOG-Attention method reduces computational complexity from O(N²) to O(N√N), enabling more scalable transformer models.

AI agents can process current data, but robust memory systems are crucial for remembering past interactions and facts.

New research reveals that large language models often generate plausible-sounding but factually incorrect reasoning steps, a phenomenon dubbed 'reasoning faithfulness.'

An open-weight model achieves near-frontier capabilities in autonomous cyber offense, democratizing advanced attack tools.

Google's AI assistant is now embedded directly into Chrome for Android, enabling page summaries and task automation.

A creator leverages AI tools to manage complex medical data and treatment options for a mother's third cancer battle.

Post-call AI analysis is useful, but the real value lies in real-time agent assistance during customer interactions.