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Google Releases Post-Training Integer Quantization for TensorFlow Lite
Google announced new tooling for their TensorFlow Lite deep-learning framework that reduces the size of models and latency of inference. The tool converts a trained model's weights from floating-point representation to 8-bit signed integers. This reduces the memory requirements of the model and allows it to run on hardware without floating-point accelerators and without sacrificing model quality.
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Google Releases TensorFlow.Text Library for Natural Language Processing
Google released a TensorFlow.Text, a new text-processing library for their TensorFlow deep-learning platform. The library allows several common text pre-processing activities, such as tokenization, to be handled by the TensorFlow graph computation system, improving consistency and portability of deep-learning models for natural-language processing.
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Facebook Open-Sources Deep-Learning Recommendation Model DLRM
Facebook AI Research announced the open-source release of a deep-learning recommendation model, DLRM, that achieves state-of-the-art accuracy in generating personalized recommendations. The code is available on GitHub, and includes versions for the PyTorch and Caffe2 frameworks.
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Moving Embodied AI forward, Facebook Open-Sources AI Habitat
In a recent blog post, Facebook has announced they have open-sourced AI Habitat, an Artificial Intelligence (AI) simulation platform that is designed to train embodied agents, such as virtual robots. Using this technology, robots can learn how to grab an object from an adjacent room or assist a visually-impaired person in navigating an unfamiliar transit system.
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MIT Debuts Gen, a Julia-Based Language for Artificial Intelligence
In a recent paper, MIT researchers introduced Gen, a general-purpose probabilistic language based on Julia aimed to allow users to express models and create inference algorithms using high-level programming constructs.
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AWS Enhances Deep Learning AMI, AI Services SageMaker Ground Truth, and Rekognition
Amazon Web Services (AWS) announced updates to their Deep Learning virtual machine image, as well as improvements to their AI services SageMaker Ground Truth and Rekognition.
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Amazon Personalize Is Now Generally Available, Bringing ML to Customers
After the first announcement of Amazon Personalize during AWS re:Invent last November, the service is now generally available for all AWS customers. With this service, developers can add custom machine learning models to their application, including ones for personalized product recommendations, search results and direct marketing, even if they don’t have much machine learning experience.
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Democratizing AI for Business Applications, Microsoft Release AI Builder Preview
At the recent Business Applications Summit in Atlanta, Microsoft announced a new Artificial Intelligence (AI) service for the Power Platform called AI Builder. The new service brings AI capabilities to low code application and workflow services: Microsoft PowerApps and Microsoft Flow which run on top of the Common Data Service (CDS), an enterprise-grade datastore.
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Los Angeles CTO Roundtable about AI and Data
The recent "Leaders in Data CTO Roundtable" in Los Angeles included discussions about an artificial intelligence (AI) framework/platform for business, data in the next five years, data software stacks, and acquiring data talent.
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Amazon Announces New Cross-Skill Conversational Model for Alexa
At Amazon's re:MARS AI conference in Las Vegas, Alexa vice president Rohit Prasad demonstrated a new conversational model for the Alexa smart assistant. In this new model, Alexa can seamlessly transition between skills and remember the context of the conversation to resolve ambiguous references.
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Teaching Machines to Understand Emotions with Sentiment Analysis
Sentiment analysis teaches computers to recognise the human emotions present in text. The fundamental trade-off in sentiment analysis is between simplicity and accuracy. Approaches vary from using a list of words associated with emotions, to deep learning with techniques like word embeddings, neural networks and attention mechanisms.
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Splunk Releases Splunk Connected Experiences and Splunk Business Flow
Data analytics organisation, Splunk, recently released Splunk Connected Experiences which delivers insights through augmented reality (AR), mobile devices like Apple TV, and mobile applications. They also released Splunk Business Flow which enables business operations professionals to gain insights across their customer journeys and business processes.
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Google's Cloud TPU V2 and V3 Pods Are Now Publicly Available in Beta
Recently, Google announced that its second- and third-generation Cloud Tensor Processing Units (TPU) Pods — its scalable cloud-based supercomputers with up to 1,000 of its custom TPU — are now publicly available in beta. With these Pods, Machine Learning (ML) researchers, engineers, and data scientists can speed up the time needed to train and deploy machine learning models.
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Microsoft Launches Several New Machine Learning Services and Extends Its Cognitive Services
Before its Build Developer Conference, Microsoft released several new Machine Learning services and Cognitive Services updates, ranging from no-code tools to hosted notebooks, with several new APIs and other services in-between.
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Making Robots More Intelligent, Microsoft Releases Autonomous Systems Platform
At the recent Build conference in Seattle, Microsoft announced, in limited preview, an end-to-end toolchain to help developers and organizations build autonomous systems for their industries. The platform includes machine teaching tools and simulation technologies that enable intelligent robotic systems to complete tasks like running autonomous forklifts and robotic inspection platforms.