InfoQ Homepage Artificial Intelligence Content on InfoQ
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MLGO Framework Brings Machine Learning in Compiler Optimizations
Google’s new Machine Learning Guided Optimization (MLGO) is an industrial-grade general framework for integrating machine-learning (ML) techniques systematically in a compiler and in particular in LLVM. Compiling faster and smaller code can significantly reduce the operational cost of large data-center applications.
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Amazon Released Incremental Training Feature in SageMaker JumpStart
AWS recently released a new feature in SageMaker (AWS Machine Learning Service) JumpStart to incrementally retrain machine-learning (ML) models trained with expanded datasets. By using this feature, developers could fine-tune their models for better performance in production with a couple of clicks. This recent feature is among the series of efforts to add more automation to SageMaker JumpStart.
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Microsoft Limits Public Access to AI-Powered Facial Analysis Features
Microsoft recently announced phasing out public access to AI-powered Facial Analysis features in several Azure services.
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GitHub Copilot Adopts Paid Model, Still Free for Some Open-Source Maintainers and Students
After almost one year in technical preview, GitHub Copilot is now prime time-ready for students and individual developers, says GitHub, while companies and larger organizations could get access to it before the end of the year.
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Google Introduces New AI Features in Workspace
Google’s latest AI developments are aimed at assisting employees in focusing on what matters, collaborating securely, and strengthening human relationships across all work modes and locations.
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New GraphWorld Tool Accelerates Graph Neural-Network Benchmarking
Google AI has recently released GraphWorld, a tool to accelerate performance benchmarking in the area of graph neural networks (GNNs). GraphWorld is a configurable framework to generate graphs with a variety of structural properties like different node degree distributions and Gini index.
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Meta AI’s New Data Set to Accelerate Renewable Energy Catalyst Discovery for Hydrogen Fuel
Meta AI recently announced that it will soon release an entirely new data set for green hydrogen fuel ML modeling and simulation, focused on oxide catalysts for the oxygen evolution reaction (OER), a critical chemical reaction used in green hydrogen fuel production via wind and solar energy.
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DeepMind Introduces Gato, a New Generalist AI Agent
Gato, as the agent is known, is DeepMinds’s generalist AI that can perform many different tasks that humans can do, without carving a niche for itself as an expert on one task. Gato can perform more than 600 different tasks, such as playing video games, captioning images and moving real-world robotic arms. Gato is a multi-modal, multi-task, multi-embodiment generalist policy.
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Microsoft Introduces Open Data for Social Impact Framework
Microsoft recently introduced the Open Data for Social Impact Framework, a guide to help organizations put data to work to get new insights, make better decisions, and improve efficiency while tackling pressing social issues. The framework includes a five-step roadmap that organizations can use to get started.
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Meta AI Labs Introduces BuilderBot, a Voice Control Builder for Virtual Worlds
Meta’s latest AI research introduces BuilderBot, a new tool to fuel creativity in the metaverse capable of generating immersive objects through voice commands only.
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Meta AI’s Convolution Networks Upgrade Improves Image Classification
Meta AI released a new generation of improved Convolution Networks, achieving state-of-the-art performance of 87.8% accuracy on Image-Net top-1 dataset and outperforming Swin Transformers on COCO dataset where object detection performance is evaluated. The new design and training approach is inspired by the Swin Transformers model.
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Evaluating Continual Deep Learning: a New Benchmark for Image Classification
Continual learning aims to preserve knowledge across deep network training iterations. A new dataset entitled "The CLEAR Benchmark: Continual LEArning on Real-World Imagery" has recently been published. The goal of the study is to establish a consistent image classification benchmark with the natural time evolution of objects for a more realistic comparison of continual learning models.
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Meta Unveils AI Supercomputer for the Metaverse
Meta has unveiled its AI Research SuperCluster (RSC) supercomputer, aimed at accelerating AI research and helping the company build the metaverse. The RSC will help the company build new and better AI models, working across hundreds of different languages, and to develop new augmented reality tools.
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How AI Supports IT Operators to Resolve Issues Faster and Keep Systems Running
AIOps is all about equipping IT teams with algorithms that can help in quicker evaluation, remediation or actionable insights based on their historical data without the need to solicit feedback from users directly. AI can help IT operators to work smart, resolve issues faster and keep the systems up and running to deliver great end-user experience.
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AI Listens by Seeing as Well
Meta AI released a self-supervised speech recognition model that also uses video and achieves 75% better accuracy for some amount of data than current state-of-the-art models. This new model, Audio-Visual Hidden BERT (AV-HuBERT), uses audiovisual features for improving models based only on hearing speech. Visual features used are based on lip-reading, similar to what humans do.