Researchers at the Institute of Science Tokyo in Japan, also known as Science Tokyo, have taken a fresh look at a long ...

Microsoft alone runs approximately 100,000 A/B tests each year to continuously optimize products. A famous Gmail experiment, ...

Existing solutions rely heavily on sequential processing pipelines that convert speech into text and then pass it to language ...

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...

X Square Robot has raised $140 million to build the WALL-A model for general-purpose robots just four months after raising ...

Developed using IRIS Forge, SymphonyAI's AI-based code generation solution, these applications integrate Microsoft Foundry, Azure Kubernetes Service (AKS), Azure Edge Runtime, and more to address the ...

This paper develops a conceptual framework to analyze how gendered social norms mediate the effects of legal frameworks on ...

X Square Robot, a pioneer in general purpose embodied AI, announced on January 12 the completion of its Series A++ funding round, raising ...

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...

Discover how the ceteris paribus assumption isolates variables to clarify economic causation, simplifying complex ...

Abstract: Deep learning, with large-scale annotated datasets, has demonstrated remarkable success in synthetic aperture radar automatic target recognition (SAR-ATR). However, the collecting of SAR ...