Explore how ITC, Reliance, and Maersk redefine business sovereignty, promoting generational value and sustainability while ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

HireArt's 2025 compensation report took a deep look at how much data annotators get paid. It's a fascinating window into how ...

Abstract: This paper addresses the limitations of the Contrastive Language-Image Pre-training (CLIP) model’s image encoder and proposes a segmentation model WSSS-ECFE with enhanced CLIP feature ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential.

The gist: Z.ai has released GLM-4.7, an open-weights AI model that claims performance parity with proprietary leaders like ...

Emerging AI-powered data discovery and semantic search tools promise to cut through the fragmentation, helping CX teams turn ...

Abstract: High-resolution remote sensing images contain intricate details and complex backgrounds, presenting challenges for traditional segmentation methods, which often struggle with accurate ...