InfoQ Homepage Artificial Intelligence Content on InfoQ
-
Developing Virtual Assistant Apps with Amazon Lex and Polly Deep Learning Technologies
Greg Bulmash from Amazon spoke at the OSCON 2017 Conference last week about developing your own virtual assistant applications using Amazon's Lex and Polly technologies.
-
Microsoft Releases APIs for Face Recognition, Computer Vision, and Content Moderation
Microsoft Cognitive Services released its Face, Computer Vision, and Content Moderator APIs to its users in late April. Cognitive Services comprises many APIs and services that enable developers to add image recognition, speech, translation and other functionality to their own applications, without having to develop these capabilities themselves.
-
Microsoft Releases Dialogue Dataset to Make Chatbots Smarter
Maluuba, a Microsoft company working towards general artificial intelligence, recently released a new open dialogue dataset based on booking a vacation. With this dataset, they help researchers and developers make their chatbots smarter.
-
Google Reveals Details of TensorFlow Processor Unit Architecture
Google's hardware engineering team that designed and developed the TensorFlow Processor Unit detailed the architecture and benchmarking experiment earlier this month. This is a follow up post on the initial announcement of the TPU from this time last year.
-
The AI Misinformation Epidemic
Over the past five years, Google searches for Machine Learning have gone up five times. “Fo anything that has machine learning in it or blockchain in it, the valuation goes up, 2, 3, 4, 5x”, Andy Stewart pointed out. Zachary Lipton claimed a "misinformation epidemic" in the field in a recent blog post. In this article we present the technical perspective of ML and how it can be presented.
-
10 Weeks to QCon New York: Keynotes Announced and Early Peek into the Speaker Lineup
QCon New York (the 6th annual software conference) is just 10 weeks away. June 26-28 QCon returns to its new location at Times Square’s Marriott Marquis, but with the same great lineup of speakers. 2017 features speakers from Stitch Fix, Google, Netflix, Lyft, Pivotal, Redis Labs, among others.
-
Using Deep Learning Technologies IBM Reaches a New Milestone in Speech Recognition
The research team at IBM recently announced they've reached a new industry record at 5.5%, using the SWITCHBOARD linguistic corpus. This brings us closer to what's considered to be the human error rate, 5.1%. They used deep learning technologies and acoustic models to accomplish this milestone.
-
MindMeld’s Guide to Building Conversational Apps
MindMeld, a conversational AI company, has published The Conversational AI Playbook, a guide outlining the challenges and the steps to be made to create conversational applications.
-
Intel Open-Sources BigDL, Distributed Deep Learning Library for Apache Spark
Intel open-sources BigDL, a distributed deep learning library that runs on Apache Spark. It leverages existing Spark clusters to run deep learning computations and simplifies the data loading from big datasets stored in Hadoop.
-
Amazon Introduces Rekognition for Image Analysis
At the AWS re:Invent conference, Amazon launched Rekognition, a managed service for Image Recognition and Analysis, powered by Deep Learning. The capabilities that Rekognition provides include Object and Scene detection, Facial Analysis, Face Comparison and Facial Recognition. The service attempts to extract meaning from visual content for the 1.2 Trillion pictures captured annually.
-
Microsoft Launches Cloud Bot-as-a-Service Platform
This past November, Microsoft launched, what it is calling, the Industry’s First Cloud Bot-as-a-Service platform. The Azure Bot Service is powered by the Microsoft Bot Framework and has a serverless compute back-end built on Azure Functions. Using the Bot service allows developers to build conversational applications that plug into many popular chat applications.
-
Building Conversational Apps Using Actions on Google and API.AI
Google has introduced Actions on Google which allow developers to build Google Assistant-based conversational apps, including integration with the Google Home device.
-
Building Conversational and Text Interfaces Using Amazon Lex
At the recent AWS re:Invent conference, Amazon introduced a preview of their deep learning technology called Amazon Lex which can be used to build conversational interfaces using voice and text. Amazon Lex is powered on the same deep learning technology as Alexa, which is used in the portable Bluetooth and Wi-Fi enabled Amazon Echo speaker.
-
AWS re:Invent Recap
At their annual re:Invent conference in Las Vegas, AWS unleashed a flurry of announcements about upcoming cloud services. Amazon outlined over two dozen new capabilities coming to the public cloud, including directly querying data in S3 object storage, building code as part of deployment pipelines, provisioning cheap virtual private servers, and moving data in bulk, ETL-style.
-
CommAI, a Training and Testing AI System by Facebook
Facebook recently announced CommAI-env, a platform for training and evaluating an AI system. Inspired by A roadmap towards Machine Intelligence the system aims for teaching intelligent agents general learning capabilities that would serve as the groundwork for further, more specialized training by human or machine level interaction. The article provides a high level overview of current state and..