InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Bringing Intelligence to Enterprise Content Management, Google Releases Document Understanding AI
At the recent Google Cloud Next Conference, Google announced a new beta machine learning service, called Document Understanding AI. The service targets Enterprise Content Management (ECM) workloads by allowing customers to organize, classify and extract key value pairs from unstructured content, in the enterprise, using Artificial Intelligence (AI) and Machine Learning (ML).
-
Amazon Expands Its Machine Learning Offering with AWS Deep Learning Containers
Recently, Amazon introduced AWS Deep Learning Containers (AWS DL Containers), which are Docker images pre-installed with deep learning frameworks allowing customers to deploy custom machine learning environments quickly.
-
Facebook Open-Sources PyTorch-BigGraph Embedding Framework
Facebook AI Research is open-sourcing PyTorch-BigGraph, a distributed system that can learn embeddings for graphs with billions of nodes.
-
Convolutional Neural Network Deep Learning Techniques for Crowd Counting
Deep learning techniques like Convolutional Neural Networks (CNNs) are a better choice for crowd-counting use cases, compared to traditional detection or regression based models. Ganes Kesari, co-founder and head of analytics at Gramener, spoke last week at the AnacondaCon 2019 Conference on how to count things using artificial intelligence (AI) models.
-
DeepMind's AI Defeats Top StarCraft Players
DeepMind's AlphaStar AI defeated two top professional StarCraft players 5-0.
-
A Framework for High-Value Big Data
Asha Saxena recently spoke at the Enterprise Data World 2019 Conference about the value big data analytics initiatives bring to the organizations. Saxena proposed a big data framework that can help with organizational maturity and internal competencies.
-
Microsoft Expands the Availability of Its Cognitive Services: Anomaly Detector and Custom Vision
Microsoft recently announced the public preview of Anomaly Detector and general availability of Custom Vision. With both services, Microsoft further expands its Cognitive Services offering for its customers.
-
Introducing TensorFlow Privacy, a New Machine Learning Library for Protecting Sensitive Data
In a recent blog post, TensorFlow announced TensorFlow Privacy, an open source library that allows researchers and developers to build machine learning models that have strong privacy. Using this library ensures user data are not remembered through the training process based upon strong mathematical guarantees.
-
Q&A on Condé Nast's Natural Language Processor and Content Analysis
Beginning in 2015, Condé Nast created a natural-language-processing and content-analysis engine to improve the metadata around content created across their 22 brands. The new system has led to a 30% increase in click-through rates. InfoQ spoke with Antonino Rau, a software engineer and technology manager at Condé Nast US about the evolution of their NLP-as-a-service system named HAL.
-
Deep Learning for Speech Synthesis of Audio from Brain Activity
Research teams use deep learning neural networks to synthesize speech from electrical signals recorded in human brains, to help people with speech challenges.
-
Autonomous Analytics: Driving the Future of Data in Business Analytics
Autonomous data analytics will be the driver of business analytics in the future. and will be seamlessly integrated into our lives. John Thuma, from Arcadia Data, spoke at Enterprise Data World 2019 Conference in Boston about self-driving analytics.
-
Google Expands Cloud BigTable Replication Capabilities Globally in Beta
Google announced the expansion of Cloud BigTable's replication capabilities in Beta - providing customers with the flexibility to make their data available across a region or worldwide. Furthermore, the enhancements will allow customers to create a replicated cluster in any zone at any time.
-
Xiaoya Wei on Airbnb's Knowledge Graph
Airbnb's knowledge graph encodes information about their inventory and the world in a graph structure. This structure is based on a hierarchical taxonomy. InfoQ caught up with Xiaoya Wei, software engineer at Airbnb, regarding their knowledge graph and how it helps them categorize their inventory and deliver travel context to their users.
-
Microsoft Survey to Study the JavaEE to Cloud Migration: A Call to the Java Community to Participate
The Microsoft Azure engineering team is calling on the Java community to participate in a special survey to understand the challenges of migrating Java EE applications to the cloud. The team would appreciate input from developers who either: have already migrated Java EE applications to cloud; are currently going through a migration; or are planning to start a migration.
-
Amazon Alexa Enables an Ambient Computing Lifestyle
Alexa is becoming ubiquitous in the home through a purposeful Amazon Web Services (AWS) strategy to make Alexa, voice-activated service, a central component of an ambient computing lifestyle, according to Dave Limp, Amazon’s senior VP of devices and services in a recent article in the Verge.