Sara Hooker, CEO of Adaption Labs, argues that the future of AI lies in adaptive learning rather than simply increasing model size.

The researchers have developed a new approach to making biometric presentation attack detection (PAD) resistant to demographic bias.

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

My Creta Electric Excellence LR LogsThe culmination of a search that started from 2021 for the perfect vehicle for my dad, after comparing all ...

Abstract: To address the significant overhead of the beam training in millimeter wave (mmWave) wireless communications, we propose a balanced multimodal fusion network with bi-directional enhancement ...

Abstract: Distributed deep learning faces a major bottleneck in communication efficiency due to the frequent exchange of gradient information among computing nodes. Gradient compression offers a ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

The engineer behind AI lenses reaching 400 million Snapchat users explains how diffusion models, on-device inference, and GenAI-driven NPCs can transform indie game development.

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks ...