To improve search and recommendation user experiences, Uber migrated from Apache Lucene to Amazon OpenSearch to support large-scale vector search and better capture search intent. This transition ...

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

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

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 ...

Abstract: Task-oriented semantic communication (ToSC) enhances efficiency and performance by leveraging task-specific data representations and end-to-end learning, which are more compact and effective ...

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

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

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.

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.