InfoQ Homepage Artificial Intelligence Content on InfoQ
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OpsRamp Introduces AI-Driven Suggestions for Incident Remediation
OpsRamp, a SaaS platform for hybrid infrastructure discovery, monitoring, management and automation has launched OpsQ Recommend Mode, a capability for incident remediation. OpsQ Recommend Mode provides predictive analytics to digital operations teams with the goal of reducing Mean Time to Resolution (MTTR).
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Algorithmia Adds GitHub Integration to Machine Learning Platform
Algorithmia, an AI model management automation platform for data scientists and machine learning (ML) engineers, now integrates with GitHub.
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Microsoft Introduces Power Virtual Agents, a No-Code Solution to Building AI Bots
In a recent blog post, Microsoft announced the general availability (GA) of Power Virtual Agents, a service designed to democratize building conversational chatbots using a no-code graphical user interface. The service is part of the Microsoft Power Platform, which includes Power Apps, Power BI and Power Automate and democratizes access to building artificial intelligence-powered bots.
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Google Cloud Team Releases AutoML Natural Language
The Google Cloud team recently announced the generally available (GA) release of AutoML Natural Language framework. AutoML Natural Language supports features for data processing and common machine learning tasks like classification, sentiment analysis, and entity extraction.
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LG Releases New Hyperparameter Optimization Framework Called Auptimizer
Scientists at LG’s Advanced AI division released Auptimizer, an open-source framework for hyperparameter optimization of machine learning models. The software focuses on job distribution, scheduling and bookkeeping associated with performing hyperparameter optimization at scale, relying on existing packages for optimization algorithms.
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Data Science at the Intersection of Emerging Technologies
Kirk Borne, principal data scientist at Booz Allen Hamilton, gave a keynote presentation at this year’s Oracle Code One Conference on how the connection between emerging technologies, data, and machine learning are transforming data into value. Emerging technological innovations like AI, robotics, computer vision and more, are enabled by data and create value from data.
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Microsoft Releases DialogGPT AI Conversation Model
Microsoft Research's Natural Language Processing Group released dialogue generative pre-trained transformer (DialoGPT), a pre-trained deep-learning natural language processing (NLP) model for automatic conversation response generation. The model was trained on over 147M dialogues and achieves state-of-the-art results on several benchmarks.
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The Current and Future Landscape of AI and VR
Cognitive technologies like AI and VR are here to stay, claimed Dr Susie Harding at Women in Tech Dublin 2019. We engage with AI constantly nowadays; it’s all around us, in ways we couldn’t imagine even five years ago. VR technologies haven’t breached the tech wall yet, but they will become more tactile in the coming years.
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Google Introduces TensorFlow Enterprise in Beta
In a recent blog post, Google announced TensorFlow Enterprise, a cloud-based TensorFlow machine learning service that includes enterprise-grade support and managed services.
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Facebook AI Releases New Computer Vision Library Detectron2
Facebook AI Research (FAIR) has released Detectron2, a PyTorch-based computer vision library that brings a series of new research and production capabilities to the framework. While the first Detectron was written in Caffe2, Detectron2 represents a full rewrite of the original framework in PyTorch from the ground up, with several new object detection capabilities.
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Google Announces Updates to AutoML Vision Edge, AutoML Video, and the Video Intelligence API
In a recent blog post, Google announced enhancements to a part of its Vision AI portfolio: AutoML Vision Edge, AutoML Video, and the Video Intelligence API. Each received updates to enhance their capabilities.
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Rasa Developer Summit: Production Grade AI Assistants
Rasa, an open source framework that provides machine learning tools to build and deploy contextual AI assistants, recently held its developer summit in San Francisco. The speakers at the summit shared interesting enterprise case studies on using Rasa to build AI assistants. "Our primary goal for the Rasa Developer Summit was to build community," said Alex Weidauer, CEO & co-founder of Rasa.
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Facebook Releases AI Code Search Datasets
Facebook AI released a dataset containing coding questions paired with code-snippet answers, intended for evaluating AI-based natural-language code search systems. The release also includes benchmark results for several of Facebook's own code-search models and a training corpus of over 4 million Java methods parsed from over 24,000 GitHub repositories.
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Google Releases Two New NLP Dialog Datasets
Researchers from Google AI released two new dialog datasets for natural-language processing (NLP) development: Coached Conversational Preference Elicitation (CCPE) and Taskmaster-1. The datasets contain thousands of conversations as well as labels and annotations for training digital assistants to better determine users' preferences and intentions.
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WebExpo 2019: Make Healthcare Affordable and Accessible Using Tech and AI
Anna Zawilska, lead user researcher at Babylon Health, recently presented at WebExpo 2019 in Prague the lessons learnt from their experience delivering remote healthcare through a combination of technology and Artificial Intelligence (AI). Babylon Health came to adjust three key assumptions underpinning their product development.