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Description
Currents News API revolutionizes the way developers access global news by aggregating over 90,000 articles each day from 70 different countries in 18 languages, while also maintaining an extensive archive of over 26 million articles spanning four years, all organized into structured JSON through its proprietary ExtractNet deep-learning extraction technology. The service meticulously monitors 43,552 domains to guarantee wide-ranging coverage, features natural-language and SQL-like query options for targeted keyword or phrase searches, and includes built-in analytical tools to highlight insights and emerging trends. With a robust 99.9% SLA, support for CORS to facilitate browser-based applications, and the elimination of the need for users to manage crawlers, Currents efficiently oversees data sourcing and endpoint management, ensuring the delivery of news rich in content, diverse perspectives, and unique metadata scores. Users can easily access the API through straightforward RESTful endpoints or API calls, enabling them to filter news by language, region, and topic, compare viewpoints across various political and cultural dimensions, and seamlessly integrate both real-time and historical news into their applications. This makes Currents not only a powerful tool for developers but also a reliable source for comprehensive news coverage.
Description
DL4J leverages state-of-the-art distributed computing frameworks like Apache Spark and Hadoop to enhance the speed of training processes. When utilized with multiple GPUs, its performance matches that of Caffe. Fully open-source under the Apache 2.0 license, the libraries are actively maintained by both the developer community and the Konduit team. Deeplearning4j, which is developed in Java, is compatible with any language that runs on the JVM, including Scala, Clojure, and Kotlin. The core computations are executed using C, C++, and CUDA, while Keras is designated as the Python API. Eclipse Deeplearning4j stands out as the pioneering commercial-grade, open-source, distributed deep-learning library tailored for Java and Scala applications. By integrating with Hadoop and Apache Spark, DL4J effectively introduces artificial intelligence capabilities to business settings, enabling operations on distributed CPUs and GPUs. Training a deep-learning network involves tuning numerous parameters, and we have made efforts to clarify these settings, allowing Deeplearning4j to function as a versatile DIY resource for developers using Java, Scala, Clojure, and Kotlin. With its robust framework, DL4J not only simplifies the deep learning process but also fosters innovation in machine learning across various industries.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Currents News API
Founded
2019
Country
United States
Website
currentsapi.services/
Vendor Details
Company Name
Deeplearning4j
Founded
2019
Country
Japan
Website
deeplearning4j.org
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization