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Data Science Community Reacts to COVID-19 Pandemic
The data science community has reacted with fervor to the COVID-19 pandemic, with numerous articles from a data-oriented perspective and both official and grassroot efforts to provide access to data and utilize ML techniques to help deal with the crises across industry, academia and governmental organizations worldwide.
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Google Announces Cloud AI Platform Pipelines to Simplify Machine Learning Development
In a recent blog post, Google announced the beta of Cloud AI Platform Pipelines, which provides users with a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility.
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Researchers Publish Survey of Explainable AI
A team of researchers from IBM Watson and Arizona State University have published a survey of work in Explainable AI Planning (XAIP). The survey covers the work of 67 papers and charts recent trends in the field.
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Amazon Updates Transcribe with Automatic Redaction of Personally Identifiable Information Feature
Amazon Transcribe is an automatic speech recognition (ASR) service, allowing customers to add speech-to-text capabilities to their applications. Recently, the public cloud provider made a significant update to the service with an automatic redaction of Personally Identifiable Information (PII) feature.
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Google Expands Open Images Dataset and Adds New Localized Narratives Annotation
Google AI has just released a new version (V6) of their photo dataset Open Images, which now includes an entirely new type of annotation called localized narratives. These multimodal descriptions of images incorporate synchronized voice, text, and mouse trace annotations that provide more in-depth training data for what is already one of the largest open "source annotated" image datasets.
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Oracle Cloud Now Offers Data Science and Machine Learning Services
Oracle recently announced the availability of its Cloud Data Science Platform, a native service on Oracle Cloud Infrastructure (OCI), which the software designed to let teams of data scientists collaborate on the development, deployment and maintenance of machine learning models.
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MIT CSAIL TextFooler Framework Tricks Leading NLP Systems
A team of researchers at the MIT Computer Science & Artificial Intelligence Lab (CSAIL) recently released a framework called TextFooler which successfully tricked state-of-the-art NLP models (such as BERT) into making incorrect predictions.
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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.