InfoQ Homepage Artificial Intelligence Content on InfoQ
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Meta MultiRay Allows Efficiency on Large-Scale AI Models
Meta developed MultiRay, a platform that allows the cost-effective running state-of-the-art machine learning models. MultiRay allows models to run on the same input in order to share the majority of the running cost with a little addictive cost per model.
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Instagram Notification Management Now Uses Causal Inference Instead of Click-through Rate
Instagram has changed the way of creating notifications, moving from CTR to causal inference and ML models to identify highly active users who are likely to receive the notifications.
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AWS Researchers Propose a Method That Predicts Bias in Face Recognition Models Using Unlabeled Data
AWS researchers presented a novel method for evaluating bias in face recognition algorithms, which does not require data with identity annotations. The tests show that, despite the method's limitation to estimating a model's performance on data from various demographic groups, those estimates are reliable enough to identify performance discrepancies that are indicative of bias.
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Microsoft Introduces New UI Experience for Trying out Computer Vision with Vision Studio
Microsoft recently introduced a new User Interface (UI) for developers called Vision Studio to try its Computer Vision API.
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Microsoft Previews Computer Vision Image Analysis API 4.0
Recently Microsoft announced the public preview of a new version of the Computer Vision Image Analysis API, making all visual image features ranging from Optical Character Recognition (OCR) to object detection available through a single endpoint.
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Meta Has Developed an AITemplate Which Transforms Deep Neural Networks into C++ Code
Meta AI has developed AITemplate (AIT), a unified open-source system with separate acceleration back ends for both AMD and NVIDIA GPU hardware technology. AITemplate (AIT) is a two-part Python framework for AI models that transforms them into much faster C++ code. It has a front-end that optimizes models through graph transformations and optimizations.
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How GPT3 Architecture Enhanced AI Capabilities: Lifearchitect.ai Keynote At Devoxx
Dr. Alan D. Thompson, the man behind lifearchitect.ai, sees the current AI trajectory as a shift more profound than the discovery of fire, or the WWW. His Devoxx keynote presents the state of the AI industry, following Google’s Transformer architecture introduction, a true transformer of the industry that gave rise to new AI models, which can conceptualize images, books from scratch and much more.
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Fitbit Health Solution and Google Cloud Introduce Device Connect for Fitbit
Fitbit Health Solutions and Google Cloud have recently announced the release of Device Connect for Fitbit, which will provide healthcare and life sciences enterprises with accelerated analytics and insights to help people live healthier lives.
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Amazon Is Adding Visual Conversation Builder for Amazon Lex
Amazon is introducing the Visual Conversation Builder for Amazon Lex, a drag and drop interface to visualize and build conversation flows in a no-code environment. The Visual Conversation Builder greatly simplifies bot design.
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Google Published Results on How ML-Enhanced Code Compilation Could Improve Developers’ Productivity
The rapid advances in natural language processing (NLP) opened a new direction to use deep learning models in providing smarter suggestions for developers while writing software codes. Google AI has recently published results on ML-enhanced code compilation and how it improved developers’ productivity considering different metrics.
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New Stanford Compute-In-Memory Chip Promises to Bring Efficient AI to Low-Power Devices
In a paper recently published in Nature, Stanford researchers presented a new compute-in-memory (CIM) chip using resistive random-access memory (RRAM) that promises to bring energy efficient AI capabilities to edge devices.
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Azure Optimized Stack with DeepSpeed for Hyperscale Model Training
Azure Machine Learning (AzureML) now provides an optimized stack that uses the latest NVIDIA GPU technology with Quantum InfiniBand to efficiently train and fine-tune large models like Megatron-Turing and GPT-3.
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Google AI Open-Sourced a New ML Tool for Conceptual and Subjective Queries over Images
Google AI open-sourced mood board search, a new ML-powered tool for subjective or conceptual queries over images. Mood board search helps users to define conceptual and subjective queries like peaceful, beautiful, over images.
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Meta Hopes to Increase Accuracy of Wikipedia with New AI Model
Meta AI's research and advancements team developed a neural-network-based system, called SIDE, that is capable of scanning hundreds of thousands of Wikipedia citations at once and checking whether they truly support the corresponding contents. Wikipedia is a multilingual free online encyclopedia written and maintained by volunteers through open collaboration and a wiki-based editing system.
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Google AI Developed a Language Model to Solve Quantitative Reasoning Problems
Google AI developed a deep learning language model called Minerva which could solve mathematical quantitative problems. Google AI researchers achieved a state-of-the-art deep learning model by training on a large dataset that contains quantitative reasoning with symbolic expressions. The final model, Minerva, could solve quantitative mathematical problems on STEM reasoning tasks.