Google’s new AI training method helps small models tackle complex reasoning

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.
Family Destinations Guide

This Dreamy Natural Spring In Florida Is So Hidden, It’s Almost Forgotten

Troy Springs State Park in Branford, Florida is exactly that kind of enchanted spot – a crystalline blue oasis that somehow remains whispered about rather than shouted from the rooftops. In a state ...
InfoWorld

A fresh look at the Spring Framework

The iconic Java framework has evolved and modernized, integrating a host of new features without sacrificing power or ...
IEEE

1+1>2: A Dual-Function Defense Framework for Adversarial Example Mitigation

Abstract: Current state-of-the-art plug-and-play countermeasures for mitigating adversarial examples (i.e., purification and detection) exhibit several fatal limitations, impeding their deployment in ...
Frontiers

Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework

1 Independent Researcher, Park City, UT, United States 2 Department of Orthopaedics, Rush University Medical Center, Chicago, IL, United States Generative AI, powered by large language models, is ...
IEEE

Farm Farming Inspection System Based on Spring Boot Framework - Dairy Goat as an Example

Abstract: With the rapid development of information technology, traditional agriculture is gradually transforming into intelligent agriculture. In the field of farm farming, how to utilize modern ...
InfoWorld

Spring Java creator unveils AI agent framework for the JVM

Embabel, an open source framework for authoring AI agentic flows on the JVM, has been launched by Spring Framework founder Rod Johnson. Johnson aims for Embabel to become the natural way to integrate ...
GitHub

Spring Framework Artifacts

This document describes how to access Spring Framework artifacts. For examples of Maven POM and Gradle configuration see the Maven Central, Spring Repositories, and Spring Boot Dependency Management ...
C&EN

Colossal Negative Area Compressibility in the Ferroelastic Framework Cu(tcm)

Department of Materials, Imperial College London, Royal School of Mines, Exhibition Road, London SW7 2AZ, U.K. London Centre for Nanotechnology, Imperial College ...
Scientific Research Publishing

Belkin, M., Niyogi, P. and Sindhwani, V. (2006) Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. Journal of Machine Learning ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...