InfoQ Homepage Artificial Intelligence Content on InfoQ
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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.
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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.