Microsoft Embeds Artificial Intelligence Platform in Windows 10 Update
The next Windows 10 update opens the way for the integration of artificial intelligence functionalities within Windows applications. Developers will be able to integrate pre-trained deep-learning models converted to the ONNX framework in their Windows applications.
Microsoft Achieves Human Parity on Chinese-English Machine Translation
Microsoft created a translation algorithm that translates Chinese sentences to English as well as human translators do. Translating Chinese sentences into English has been difficult in the past. Thanks to neural machine translation, a technique that created amazing results in the last couple of years, Microsoft got their machine translated sentences on par with human translated sentences.
Facebook Releases Open Source "Detectron" Deep-Learning Library for Object Detection
Recent releases from Facebook and Google implement the most current deep-learning algorithms to take a crack at the challenging problem of machine object detection.
UK Supermarket Launches Machine Learning Sommelier
The UK arm of German supermarket company Lidl has launched a Facebook Messenger-based chatbot, designed to help customers choose the right wine to compliment their food or occasion.The chatbot, named Margot, uses a unique approach to NLU and can interact with shoppers to provide answers to frequently asked questions, pairing wines with food, finding a wine and taking a quiz.
The Relationship between Team Emotion and Delivery
AI firm Deep Affects studied Jira projects, presenting a relationships between emotional health and team productivity. Their findings are also supported by Gallup's 2017 State of the Workforce survey which indicates the cost of not having emotionally engaged teams.
Machine Learning and Artificial Intelligence - Two Conferences to Attend in 2018
The IEEE publishes an annual list of the Top 10 Technology Trends for each upcoming year. Making the list for 2018 are multiple topics surrounding artificial intelligence and machine learning. Deep learning comes in as the IEEE hottest trend for 2018.
Microsoft Announces the General Availability of Azure Bot Service and Language Understanding
Microsoft recently announced that the Azure Bot Service and Language Understanding has become generally available. Both had previously been in public preview for months, and the release increases availability in nine more regions including Ireland, Hong Kong and Sao Paulo, Brazil, and new capabilities to aid developers in achieving more.
Building GPU Accelerated Workflows with TensorFlow and Kubernetes
Daniel Whitenack spoke at the recent KubeCon + CloudNativeCon North America 2017 Conference about GPU based deep learning workflows using TensorFlow and Kubernetes technologies. He discussed the open source data pipeline framework Pachyderm.
Panel on the Future of AI
An SF QCon panel on the future of AI explored some issues facing machine learning today. The areas explored: critical issues facing AI right now, how has technology changed the way people are hired, how non-leading edge companies make the best use of current technologies, what the role of humans in relation to AI is, and exciting new breakthroughs on the immediate horizon.
Google and Intel Release Do-It-Yourself Artificial Intelligence Vision Kit
Google created a do-it-yourself artificial intelligence kit that allows you to build an intelligent camera that can recognize objects. The main component of their kit is the VisionBonnet board for the raspberry pi. This board contains a Movidius chip created by Intel. This company specializes in adding computational power to existing hardware, and created the neural compute stick.
TensorFlow Lite Supports On-Device Conversational Modeling
TensorFlow Lite, the light-weight solution of open source deep learning framework TensorFlow, supports on-device conversation modeling to plugin the conversational intelligence features into chat applications. The TensorFlow team recently announced the release of TensorFlow Lite, which can be used in mobile and embedded devices.
How Apple Uses Neural Networks for Object Detection in Point Clouds
Apple invented a neural network configuration that can segmentate objects in point clouds obtained with a LIDAR sensor. Recently Apple joined the field of autonomous vehicles. Apple has now created an end-to-end neural network to segmentate objects in point clouds. This approach does not rely on any hand-crafted features or other machine learning algorithms other than neural networks.
Tracks Announced for the Inaugural QCon.ai in 2018
Recently, the people behind QCon (InfoQ’s conference for senior developers, architects, and leaders in software) announced a new conference called QCon.ai.
Start-up Vicarious Defeats CAPTCHA Security with AI Inspired by Brain’s Visual Cortex
Vicarious improved on neural network capable of solving CAPTCHA challenges using a novel network layout called Recursive Cortical Network. In contrast to a normal neural network, which starts without any knowledge before training, a RCN starts with knowledge of contours and surfaces. This prior knowledge facilitates model building and generalisability.
Smart Replies for Member Messages at LinkedIn
LinkedIn has launched a new natural language processing (NLP) recommendation engine which is used to provide members with smart-reply recommendations to messages. The models and infrastructure development process has been documented in detail in a recent blog post by the engineering team.
