InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Teaching the Computer to Play the Chrome Dinosaur Game with TensorFlow.js Machine Learning Library
A simple, yet entertaining and useful for educational purposes application of machine learning, was recently made available on Fritz's HeartBeat Medium publication. Google's machine learning TensorFlow.js library is leveraged in the browser to teach the computer to play the Chrome Dinosaur Game.
-
Microsoft Releases High-Performance C# and F# Support for Apache Spark
Microsoft announced the release of .NET for Apache Spark, adding new high-performance C# and F# binding to the big-data computation engine.
-
Salesforce Adds Intelligence to its Einstein Services Offering
In a recent press release, Salesforce announced additions to their Einstein platform that target bringing AI solutions to Salesforce developers and admins using a low code, point and click configuration-based solution. The recent additions to the platform include Einstein Translation and Einstein Optical Character Recognition (OCR).
-
How the Sequence of Characters in a Name Can Predict Race and Ethnicity
Gaurav Sood, Principal Data Scientist at Microsoft, recently spoke at the AnacondaCon 2019 Conference on how to use the sequence of characters in a person's name to predict that person's race and ethnicity, using machine learning techniques.
-
AWS Releases Enhancements to AI Services for NLP, Speech-to-Text Transcription, and Image Detection
Amazon Web Services (AWS) released new features for three of its AI services: Amazon Comprehend, Amazon Rekognition, and Amazon Transcribe.
-
Google Expands ML Kit, Adds Smart Reply and Language Identification
In a recent Android blog post, Google announced the release of two new Natural Language Processing (NLP) features for ML Kit, including Language Identification and Smart Reply. In both cases, Google is providing domain-independent APIs that help developers analyze and generate text, speak and other types of Natural Language text.
-
JEP 230: A New Microbenchmark Suite for JDK 12
The OpenJDK Microbenchmark Suite (JEP 230), based on the Java Microbenchmark Harness (JMH), is a new feature in the release of JDK 12. Claes Redestad, principal member of technical staff at Oracle, spoke to InfoQ about the new Microbenchmark Suite.
-
NSFW.js: Machine Learning Applied to Indecent Content Detection
With the beta-released NSFW.js, developers can now include in their applications a client-side filter for indecent content. NSFW.js classifies images into one of five categories: Drawing, Hentai, Neutral, Porn, Sexy. Under some benchmarks, NSFW categorizes images with a 90% accuracy rate.
-
Google Open-Sources GPipe Library for Faster Training of Large Deep-Learning Models
Google AI is open-sourcing GPipe, a TensorFlow library for accelerating the training of large deep-learning models.
-
Prashanth Southekal on Applied Machine Learning
Prashanth Southekal, managing principal at DBP Institute, hosted a workshop last month at Enterprise Data World 2019 Conference, on applied machine learning techniques and when to use different ML algorithms.
-
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.
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
An in-memory computing platform can add speed and scalability to your data-intensive applications
Adding Speed and Horizontal Scale to SQL Server
Download this white paper and learn about in-memory computing options for your SQL Server deployment.
In-Memory Computing Options for SAP Customers
Learn how to evolve your architecture for speed and scale, become more flexible to change, and support new technologies as needed.
In-Memory Computing Options for Oracle Database Deployments
Learn more about in-memory computing options for your Oracle database deployment.
Introducing the GridGain In-Memory Computing Platform White Paper
Improving Speed and Scalability with In-Memory Data Grids White Paper
451 Research Report: HOAP and In-Memory Computing: Accelerating Digital Business and Customer Experiences