News

Machine Learning in Java with Amazon Deep Java Library

Infoq

Key Takeaways - Standards to develop machine learning applications in Java have been lacking - JSR 381 has been developed in order to address this gap - Amazon's Deep Java Library (DJL) is one of several implementations of this new standard - One part of JSR 381 is Vis Rec for visual recognition of images - DJL includes a collection of pre-trained models https://www.deepnetts.com/blog/deep-netts-community-edition In…

Visit Site

Machine Learning in Java with Amazon Deep Java Library
Software Testing, Artificial Intelligence and Machine Learning Trends in 2023Infoq Java Feature Spotlight: Local Variable Type InferenceInfoq Cloud Native Java with the Micronaut FrameworkInfoq Grab Redesigns Counter Service Storage for 50% Lower P99 LatencyInfoq The Async Multiprocessing Has Sound Foundations in Linux, But Further Testing is NeededInfoq AI Agents with Cloud Credentials Are Outrunning Billing Guardrails Built for Human-Speed MistakesInfoq Grafana Is Not Worried About AWS CommercializationThenewstack Lessons Swift Designer Chris Lattner Has Learned about LeadershipThenewstack Cloud Systems: Deploying to Amazon ECSPulumi Summer Data Engineering RoadmapMotherduck Capturing Logs in Docker DesktopDocker Supporting the jsDelivr open source CDN with bandwidth for developersBunny How To Create and Use Avatars in eLearningHeygen From Hawking to Siri: The Evolution of Speech SynthesisDeepgram How Sky Italia Digitizes Learning Paths to Accelerate New Product Launches by 4xSynthesia How EPOS achieved a 90% learning completition rate with AI video.Synthesia How Mondelez Accelerates Supply Chain Training Across 150+ Global Manufacturing PlantsSynthesia Training: Hard Work Pays off for Data/AI ProsThenewstack Breakdown: The Kubernetes-Run AI Video Generation Pipeline for NIUS.TVThenewstack with Amazon EKS Auto Mode in PulumiPulumi