InfoQ Homepage Artificial Intelligence Content on InfoQ
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Amazon Updates SageMaker Ground Truth with New Labeling Features, Vendor Support and Availability
Amazon announced that SageMaker Ground Truth now offers simplified labeling workflows, support for additional labeling vendors, and is available in the Asia Pacific (Sydney) AWS region – bringing the total to six supported AWS regions in the Americas, Europe, and Asia.
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Google Launches AI Platform - an End-to-End Platform to Build, Run, and Manage ML Projects
Google has recently launched AI Platform, an end-to-end platform to build, test, and deploy machine learning models. It brings together a host of products and services to help businesses solve complex challenges using AI in a way that is easier and collaborative.
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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).
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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.
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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.
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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).
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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.
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Microsoft Expands the Availability of Its Cognitive Services: Anomaly Detector and Custom Vision
Microsoft recently announced the public preview of Anomaly Detector and general availability of Custom Vision. With both services, Microsoft further expands its Cognitive Services offering for its customers.
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Autonomous Analytics: Driving the Future of Data in Business Analytics
Autonomous data analytics will be the driver of business analytics in the future. and will be seamlessly integrated into our lives. John Thuma, from Arcadia Data, spoke at Enterprise Data World 2019 Conference in Boston about self-driving analytics.
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Amazon Alexa Enables an Ambient Computing Lifestyle
Alexa is becoming ubiquitous in the home through a purposeful Amazon Web Services (AWS) strategy to make Alexa, voice-activated service, a central component of an ambient computing lifestyle, according to Dave Limp, Amazon’s senior VP of devices and services in a recent article in the Verge.
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Applying Artificial Intelligence in the Agile World
The convergence of artificial intelligence (AI) systems with the agile world is having a disruptive effect on how we build software and the types of products that we build, said Aidan Casey. By combining machine learning and deep learning we can build applications that truly learn like humans. AI bias is a very serious concern, as AI systems are only as good as the data sets used to train them.
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San Francisco: QCon.ai Schedule Nearing Completion
April 15-17 software engineering teams will gather in the Bay area for the Second Annual QCon.ai Software Conference. QCon.ai is focused on helping teams adopt and validate roadmaps in machine learning by hearing and learning from those that are doing it today. What truly differentiates QCon.ai is its machine learning focus given through the lens of the software engineer.
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Facebook Open-Sources PyText NLP Modeling Framework
Facebook AI Research is open-sourcing PyText, a natural-language-processing (NLP) modeling framework that is used in the Portal video-calling device and M Suggestions in Facebook Messenger.
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Grady Booch on the Future of AI
According to Grady Booch, most current AI systems are about pattern matching of signals at the edge and inductive reasoning, not true Artificial Intelligence. During his second day keynote at the 2018 QCon San Francisco, "Building the Enchanted Land", he explained his view that AI today is a "system engineering problem with AI components."
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Protecting Artificial Intelligence from Itself
Applications using artificial intelligence can be fooled by adversarial examples, creating confusion in the model decisions. Input sanitization can help by filtering out improbable inputs before they are given to the model, argued Katharine Jarmul at Goto Berlin 2018. We need to start thinking of the models and the training data we put into them as potential security breaches, she said.