In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

Abstract: In recent years, there has been a remarkable increase in the use of machine learning (ML) technologies in healthcare settings. Despite this growth, a significant challenge persists: numerous ...

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Life is overwhelming, and sometimes all you need is a little mindless meme chaos to reset your mood. Whether you're battling deadlines, dodging calls, or just tired of pretending to function, these ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--C3 AI (NYSE: AI), the Enterprise AI application software company, was selected for the Constellation ShortList™ for Artificial Intelligence and Machine Learning ...

Combined sewer systems are a legacy infrastructure practice of having a single pipe to collect both wastewater and stormwater. There are approximately 700 combined sewer systems in the U.S., primarily ...

Japanese AI lab Sakana AI has introduced a new technique that allows multiple large language models (LLMs) to cooperate on a single task, effectively creating a "dream team" of AI agents. The method, ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Abstract: An important gap exists between advanced Deep Learning (DL) models developed for medical imaging and their insitu implementation in clinical environments. Our research proposes a scalable ...