InfoQ Homepage Machine Learning Content on InfoQ
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OpenAI Approximates Scaling Laws for Neural Language Models
Artificial intelligence company OpenAI studies empirical scaling laws for language models using cross entropy loss to determine the optimal allocation of a fixed compute budget.
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ExBERT, a Tool for Exploring Learned Representations in NLP Models
MIT-IBM AI Labs and Harvard NLP Group have released a live demo of their interactive visualization tool for exploring learned representations in Transformers models called exBERT, along with a pre-publication and the source-code.
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Amazon Announces General Availability of AWS Deepcomposer
Recently, Amazon announced the general availability of Deepcomposer, a service in AWS, which provides developers with a creative way to learn Machine Learning (ML). Deepcomposer is a machine learning-enabled keyboard for developers, and is available for purchase.
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COVID-19 and AI: Virtual Conference at Stanford Discusses the Future
The Stanford Institute For Human-Centered Artificial Intelligence approaches COVID-19 from a wide variety of perspectives.
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Uber AI Introduce Fiber, a New Library for Distributed Machine Learning
Uber AI has open-sourced Fiber, a new library which aims to empower users in implementing large-scale machine learning computation on computer clusters. The main objectives of the library are to leverage heterogeneous computing hardware, dynamically scale algorithms, and reduce the burden on engineers implementing complex algorithms on clusters.
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AlphaFold Algorithm Predicts COVID-19 Protein Structures
DeepMind uses AlphaFold to predict 3D protein structures straight from amino acid sequences for novel coronavirus 2019 (NCOVID-2019).
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Data Science Community Reacts to COVID-19 Pandemic
The data science community has reacted with fervor to the COVID-19 pandemic, with numerous articles from a data-oriented perspective and both official and grassroot efforts to provide access to data and utilize ML techniques to help deal with the crises across industry, academia and governmental organizations worldwide.
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Google Announces Cloud AI Platform Pipelines to Simplify Machine Learning Development
In a recent blog post, Google announced the beta of Cloud AI Platform Pipelines, which provides users with a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility.
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Google's MediaPipe Machine Learning Framework Web-Enabled with WebAssembly
Google recently presented MediaPipe graphs for browsers, enabled by WebAssembly and accelerated by the XNNPack ML Inference Library. As previously demonstrated on mobile (Android, iOS), MediaPipe graphs allow developers to build and run machine-learning (ML) pipelines, to achieve complex tasks.
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JavaScript Face Detection with face-api.js
The face-api.js JavaScript module implements convolutional neural networks to solve for face detection and recognition of faces and face landmarks. The face-api.js leverages TensorFlow.js and is optimized for the desktop and mobile web.
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TensorFlow Quantum Joins Quantum Computing and Machine Learning
TensorFlow Quantum (TFQ) brings Google quantum computing framework Cirq and TensorFlow together to enable the creation of quantum machine learning (ML) models.
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MIT CSAIL TextFooler Framework Tricks Leading NLP Systems
A team of researchers at the MIT Computer Science & Artificial Intelligence Lab (CSAIL) recently released a framework called TextFooler which successfully tricked state-of-the-art NLP models (such as BERT) into making incorrect predictions.
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OpsRamp Introduces AI-Driven Suggestions for Incident Remediation
OpsRamp, a SaaS platform for hybrid infrastructure discovery, monitoring, management and automation has launched OpsQ Recommend Mode, a capability for incident remediation. OpsQ Recommend Mode provides predictive analytics to digital operations teams with the goal of reducing Mean Time to Resolution (MTTR).
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Boosting Apache Spark with GPUs and the RAPIDS Library
At the 2019 Spark AI Summit Europe conference, NVIDIA software engineers Thomas Graves and Miguel Martinez hosted a session on Accelerating Apache Spark by Several Orders of Magnitude with GPUs and RAPIDS Library. InfoQ recently talked with Jim Scott, head of developer relations at NVIDIA, to learn more about accelerating Apache Spark with GPUs and the RAPIDS library.
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GitHub Releases ML-Based "Good First Issues" Recommendations
GitHub shipped an updated version of good first issues feature which uses a combination of both a machine learning (ML) model that identifies easy issues, and a hand curated list of issues that have been labeled "easy" by project maintainers. New and seasoned open source contributors can use this feature to find and tackle easy issues in a project.