InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Amazon Makes Internal Machine-Learning Courses Public
Amazon has published videos and supplementary materials from several of its internal Machine Learning University courses. The course lectures cover three machine-learning topics and can be watched on-demand on YouTube, while the slides, notebooks, and datasets can be downloaded from GitHub. A total of twelve courses are planned to be released by the end of the year.
-
Containers Running on EKS and AWS Fargate Can Now Use Amazon Elastic File System
Recently, Amazon announced that Amazon Elastic Kubernetes Service (EKS) pods running on AWS Fargate can now mount Amazon Elastic File System (EFS) file systems. The update is a follow-up to AWS customers requesting support for EFS with Fargate when using Amazon Elastic Kubernetes Service (EKS).
-
Amazon Announces ECS Now Supports EC2 Inf1 Instances
In a recent blog post, Amazon announced that customers can now use the Amazon EC2 Inf1 instances on Amazon Elastic Container Service (ECS). The company promises the instances will be high performant and have low, predictable costs.
-
Google Cloud Professional Machine Learning Engineer Certification Now in Beta
Google Cloud has added a Beta version of a new Professional-level certification to their available paths. The Professional Machine Learning Engineer certification exam will assess candidates' knowledge of machine learning practices and implementation on the Google Cloud Platform.
-
Amazon Announces the General Availability of AWS Glue 2.0
AWS Glue is a fully-managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. With AWS Glue, customers don’t have to provision or manage any resources, and only pay for resources when the service is running.
-
TensorFlow 2.3 Features Pipeline Bottleneck Reduction and Improved Preprocessing
The TensorFlow project announced the release of version 2.3.0, featuring new mechanisms for reducing input pipeline bottlenecks, Keras layers for pre-processing, and memory profiling.
-
PyTorch 1.6 Released; Microsoft Takes over Windows Version
PyTorch, Facebook's open-source deep-learning framework, announced the release of version 1.6 which includes new APIs and performance improvements. Along with the release, Microsoft announced it will take over development and maintenance of the Windows version of the framework.
-
AWS Releases Amazon Fraud Detector into General Availability
Amazon Fraud Detector is a fully-managed service on AWS providing customers with the capability to quickly identify potentially fraudulent online activities, such as the creation of fake accounts, loyalty account and promotion code abuse or online payment fraud. The service uses machine learning (ML) and relies on two decades of fraud detection expertise from AWS and Amazon.com.
-
Robot Learns to Cook the Perfect Omelette Using Batch Bayesian Optimization
Researchers from the university of Cambridge trained a robot to prepare an omelette and optimized the recipe to produce well-tasting dishes. To find the most objectively best recipe, the researchers turned towards Bayesian optimization techniques. They investigated two methods: sequential Bayesian optimization and batch Bayesian optimization.
-
AI Conference Recap: Facebook, Google, Microsoft, and Others at ACL 2020
At the recent Annual Meeting of the Association for Computational Linguistics (ACL), research teams from several tech companies, including Facebook, Google, Microsoft, Amazon, and Salesforce presented nearly 200 papers out of a total of 779 on a wide variety of AI topics related to Natural Language Processing (NLP).
-
Google Open-Sources AI for Mapping Natural Language to Mobile UI Actions
Google has open-sourced their AI model for converting sequences of natural language instructions to actions in a mobile device UI. The model is based on the Transformer deep-learning architecture and achieves 70% accuracy on a new benchmark dataset created for the project.
-
Google Announces TensorFlow 2 Support in Object Detection API
Google announced support for TensorFlow 2 (TF2) in the TensorFlow Object Detection (OD) API. The release includes eager-mode compatible binaries, two new network architectures, and pre-trained weights for all supported models.
-
Accelerating Machine Learning Lifecycle with a Feature Store
Feature Store is a core part of next generation ML platforms that empowers data scientists to accelerate the delivery of ML applications. Mike Del Balso and Geoff Sims recently spoke at Spark AI Summit 2020 Conference about the feature store driven ML development.
-
Google Launches the First NVIDIA Ampere A100 GPUs in the Cloud with Computing Engine A2 VMs
In a recent blog post, Google announced the introduction of the Accelerator-Optimized VM (A2) family on Google Compute Engine, based on the NVIDIA Ampere A100 Tensor Core GPU. A2 provides up to 16 GPUs in a single VM and is the first A100-based offering in the public cloud.
-
ROS 2 Foxy Fitzroy Release Improves Security and Tooling
Open Robotics has released ROS 2 Foxy Fitzroy, the latest version of the robot operating system. The release contains several new features, including security enhancements and improved tooling, with contributions from many industry players including the Eclipse foundation and Amazon Web Services.