InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Microsoft's ZeRO-2 Speeds up AI Training 10x
Microsoft open-sourced Zero Redundancy Optimizer version 2 (ZeRO-2), a distributed deep-learning optimization algorithm that scales super-linearly with cluster size. Using ZeRO-2, Microsoft trained a 100-billion-parameter natural-language processing (NLP) model 10x faster than with previous distributed learning techniques.
-
AWS Announces General Availability of Amazon CodeGuru
Recently, AWS announced the general availability of Amazon CodeGuru, a developer tool powered by machine learning. It provides intelligent recommendations for improving code quality and identifying an application's most expensive lines of code.
-
Databricks Contributes MLflow Machine Learning Platform to The Linux Foundation
Databricks, the company behind big data processing and analytics engine Apache Spark, contributes open source machine learning platform MLflow to The Linux Foundation. The announcement was made at the recent Spark AI Summit 2020 Conference which was held as a global virtual event.
-
Spark AI Summit 2020 Highlights: Innovations to Improve Spark 3.0 Performance
At the recent Spark AI Summit 2020, held online for the first time, some highlights were innovations to improve Apache Spark 3.0 performance, including optimizations for Spark SQL, and GPU acceleration.
-
MIT and Toyota Release Autonomous Driving Dataset DriveSeg
Toyota's Collaborative Safety Research Center (CSRC) and MIT's AgeLab have released DriveSeg, a dataset for autonomous driving research. DriveSeg contains over 25,000 frames of high-resolution video with each pixel labelled with one of 12 classes of road object. DriveSeg is available free of charge for non-commercial use.
-
MicroProfile GraphQL 1.0 - a New API in the MicroProfile Family
The MicroProfile community has released MicroProfile GraphQL 1.0, a new standalone API. Joining the three existing standalone APIs - Reactive Streams Operators, Context Propagation and Reactive Messaging - the intent of the MicroProfile GraphQL specification is to “provide a ‘code-first’ set of APIs that will enable users to quickly develop portable GraphQL-based applications in Java.”
-
DataStax Announces Cloud Native Database as a Service and AIOps Tools
DataStax announced last month the release of Astra, a cloud-native Database-as-a-Service (DBaaS) built on Apache Cassandra. They also recently announced an AIOps product called Vector that proactively monitors the health of Apache Cassandra clusters.
-
Google ML Kit SDK Now Focuses on On-Device Machine Learning
Google has introduced a new ML Kit SDK aimed at working in standalone mode without requiring a tight integration with Firebase, as the original ML Kit SDK did. Additionally, it provides limited support for replacing its default models with custom ones for image labeling and object detection and tracking.
-
Facebook Announces TransCoder AI to Translate Code across Programming Languages
Facebook AI Research has announced TransCoder, a system that uses unsupervised deep-learning to convert code from one programming language to another. TransCoder was trained on more than 2.8 million open source projects and outperforms existing code translation systems that use rule-based methods.
-
Uber Open-Sources AI Abstraction Layer Neuropod
Uber open-sourced Neuropod, an abstraction layer for machine learning frameworks that allows researchers to build models in the framework of their choice while reducing the effort of integration, allowing the same production system to swap out models implemented in different frameworks. Neuropod currently supports several frameworks, including TensorFlow, PyTorch, Keras, and TorchScript.
-
Paddle Quantum: Bringing Baidu Deep Learning Perform to Quantum Computing
Baidu has announced quantum machine learning toolkit Paddle Quantum, which makes it possible to build and train quantum neural network models. Paddle Quantum aims to support advanced quantum computing applications as well as to allow developers new to quantum machine learning to create their models step-by-step.
-
Google Open-Sources Computer Vision Model Big Transfer
Google Brain has released the pre-trained models and fine-tuning code for Big Transfer (BiT), a deep-learning computer vision model. The models are pre-trained on publicly-available generic image datasets and can meet or exceed state-of-the-art performance on several vision benchmarks after fine-tuning on just a few samples.
-
Microsoft Announces a New Pricing Model Option for Azure Cosmos DB and More Capabilities
During this year's digital Build event, Microsoft announced a new consumption-based pricing model for Azure Cosmos DB called 'serverless' that is ideal for spiky workloads and complements the existing provisioned throughput pricing model.
-
OpenAI Announces GPT-3 AI Language Model with 175 Billion Parameters
A team of researchers from OpenAI recently published a paper describing GPT-3, a deep-learning model for natural-language with 175 billion parameters, 100x more than the previous version, GPT-2. The model is pre-trained on nearly half a trillion words and achieves state-of-the-art performance on several NLP benchmarks without fine-tuning.
-
QCon San Francisco 2020 Announces Program Committee
The QCon team has finalized the Program Committee for QCon San Francisco 2020 (Nov 16-18). The committee works on all aspects of software development. At QCon topics, track hosts and speakers are handpicked to guarantee relevant and timely content.
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
FEATURED CONTENT:
Strong Consistency in Databases. What does it actually guarantee?
Evaluating Hbase and NoSQL Solutions for Real-time System of Record
Product Comparison Report for Key-Value Stores
Real-time Big Data at Hyperscale for AI, ML and IoT – What's Needed?Benchmark Reports
Follow Aerospike on: 
