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Google AI Launches NLU-Powered Tool to Help Explore COVID-19 Literature
Google AI launched COVID-19 Research Explorer, which provides a semantic search interface on top of the COVID-19 Open Research Dataset to help scientists and researchers efficiently analyze all of the dataset’s journal articles and preprints.
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Predicting Failing Tests with Machine Learning
Machine learning can be used to predict how tests behave on changes in the code. These predictions reduce the feedback time to developers by providing information at check-in time. Marco Achtziger & Dr. Gregor Endler presented how they are using machine learning to learn from failures at OOP 2020.
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Moogsoft Adds Virtual Network Operations Centre Capability
AIOps platform vendor, Moogsoft, has announced the release of Moogsoft Enterprise 8.0, featuring a capability for technology teams to build a virtual Network Operations Centre (NOC). Moogsoft Enterprise consolidates monitoring tools with the intention of helping technology teams reduce noise, prioritize incidents, reduce escalations and ensure uptime.
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Google Cloud Healthcare API Now Generally Available
In a recent blog post, Google announced the general availability of its Cloud Healthcare API. This service facilitates the exchange of healthcare data between solutions built on Google Cloud Platform (GCP) and applications.
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OpenAI Introduces Microscope, Visualizations for Understanding Neural Networks
OpenAI has released Microscope, a collection of visualizations of every significant layer and neuron of eight leading computer vision (CV) models which are often studied in interpretability. The tool helps researchers analyze the features and other important attributes which form inside of the neural networks powering these CV models.
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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.