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Google Announces TensorFlow Graphics Library for Unsupervised Deep Learning of Computer Vision Model
At a presentation during Google I/O 2019, Google announced TensorFlow Graphics, a library for building deep neural networks for unsupervised learning tasks in computer vision. The library contains 3D rendering functions written in TensorFlow, as well as tools for learning with non-rectangular mesh-based input data.
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Google's Cloud TPU V2 and V3 Pods Are Now Publicly Available in Beta
Recently, Google announced that its second- and third-generation Cloud Tensor Processing Units (TPU) Pods — its scalable cloud-based supercomputers with up to 1,000 of its custom TPU — are now publicly available in beta. With these Pods, Machine Learning (ML) researchers, engineers, and data scientists can speed up the time needed to train and deploy machine learning models.
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OpenAI Introduces Sparse Transformers for Deep Learning of Longer Sequences
OpenAI has developed the Sparse Transformer, a deep neural-network architecture for learning sequences of data, including text, sound, and images. The networks can achieve state-of-the-art performance on several deep-learning tasks with faster training times.
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Xipeng Shen on a New Technique to Reduce Deep-Learning Training Time
Researchers at North Carolina State University recently presented a paper at the 35th IEEE International Conference on Data Engineering (ICDE 2019) on their new technique that can reduce training time for deep-neural-networks by up to 69%.
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PyTorch 1.1 Release Improves Performance, Adds New APIs and Tools
Facebook AI Research announced the release of PyTorch 1.1. The latest version of the open-source deep learning framework includes improved performance via distributed training, new APIs, and new visualization tools including native support for TensorBoard.
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Salesforce Adds Intelligence to its Einstein Services Offering
In a recent press release, Salesforce announced additions to their Einstein platform that target bringing AI solutions to Salesforce developers and admins using a low code, point and click configuration-based solution. The recent additions to the platform include Einstein Translation and Einstein Optical Character Recognition (OCR).
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Google Open-Sources GPipe Library for Faster Training of Large Deep-Learning Models
Google AI is open-sourcing GPipe, a TensorFlow library for accelerating the training of large deep-learning models.
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Amazon Expands Its Machine Learning Offering with AWS Deep Learning Containers
Recently, Amazon introduced AWS Deep Learning Containers (AWS DL Containers), which are Docker images pre-installed with deep learning frameworks allowing customers to deploy custom machine learning environments quickly.
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Facebook Open-Sources PyTorch-BigGraph Embedding Framework
Facebook AI Research is open-sourcing PyTorch-BigGraph, a distributed system that can learn embeddings for graphs with billions of nodes.
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Convolutional Neural Network Deep Learning Techniques for Crowd Counting
Deep learning techniques like Convolutional Neural Networks (CNNs) are a better choice for crowd-counting use cases, compared to traditional detection or regression based models. Ganes Kesari, co-founder and head of analytics at Gramener, spoke last week at the AnacondaCon 2019 Conference on how to count things using artificial intelligence (AI) models.
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DeepMind's AI Defeats Top StarCraft Players
DeepMind's AlphaStar AI defeated two top professional StarCraft players 5-0.
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Deep Learning for Speech Synthesis of Audio from Brain Activity
Research teams use deep learning neural networks to synthesize speech from electrical signals recorded in human brains, to help people with speech challenges.
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Uber Open-Sources Ludwig Code-Free Deep-Learning Toolkit
Uber Engineering is open-sourcing Ludwig, a deep-learning toolkit that allows users to experiment with a variety of neural network structures without writing code.
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Facebook Open-Sources DeepFocus, Bringing More Realistic Images to Virtual Reality
In a recent blog post, Facebook announced they have open-sourced DeepFocus, an AI powered framework for improving focus on close objects. This technology ensures nearby objects are in-focus, while distant objects appear out of focus, much like cinematic experiences. DeepFocus takes advantage of an end-to-end convolutional neural network that produces an accurate retinal blur in near real-time.
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Electric Cloud Launches Predictive Analytics for DevOps
ElectricFlow DevOps Foresight uses deep learning to identify patterns in release pipelines, gauge the likelihood of software release success and make recommendations in order to incrementally improve pipeline performance and application quality.