Powered by Gensonix AI DB, Scientel ‘s LLM solution supports multiple DB nodes in a single LLM application Our ...

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test using genome-wide cell-free DNA (cfDNA) fragmentation patterns and repeat ...

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...

New compact platforms reduce cost, footprint and complexity of automated inspection for manufacturers entering Industry ...

The Cyber-Physical System (CPS) nowadays relates to many commercialized and popularized technologies such as the Internet of Things (IoT, IIoT), ...

Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...

The F-35's AI-enhanced identification capability is blending sensor fusion with machine learning to classify unknown contacts ...

Duquesne Light Company and Pittsburgh Robotics Network leverage robotics and physical AI to enhance grid operations.

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 ...

While extracting data from APIs and loading it from external sources remains important, the real value of data engineering begins after ingestion. The true impact comes from transforming raw data into ...

The Unicity Labs team, which previously built and exited Guardtime, a cybersecurity infrastructure company, includes PhD researchers in distributed systems, cryptography, and machine learning. The ...

Abstract: Federated Learning (FL) is a popular distributed machine learning method that enables the development of a robust global model through decentralized computation and periodic model ...