AI AI Weekly

TensorFlow 2.0 Released; Google’s Large Scale Multilingual Speech Recognition; AI Responds to Climate Change

Synced Global AI Weekly October 6th

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The Wait is Over — TensorFlow 2.0 Released!
Google today announced the final release of TensorFlow 2.0. Google says integrating Keras tightly into TensorFlow along with with eager execution and Pythonic function execution will make the application development experience “as familiar as possible” for Python developers.
(Synced) / (TensorFlow)


Large-Scale Multilingual Speech Recognition with A Streaming End-to-End Model
In Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model, published at Interspeech 2019, researchers present an end-to-end (E2E) system trained as a single model, which allows for real-time multilingual speech recognition.
(Google AI)


How to Respond to Climate Change, If You Are An Algorithm
The Economist’s Open Future youth essay competition winner was announced in September. But how might artificial intelligence tackle the question of climate change? The Economist fed the essay question and the 58-word description through a natural-language processing algorithm called GPT-2 from OpenAI.
(The Economist)

Technology

Machine Learning Predicts Behavior of Biological Circuits
Biomedical engineers have devised a machine learning approach to modeling the interactions between complex variables in engineered bacteria that would otherwise be too cumbersome to predict. Their algorithms are generalizable to many kinds of biological systems.
(Duke University)


Efficient Graph Generation with Graph Recurrent Attention Networks
Researchers propose a new family of efficient and expressive deep generative models of graphs, called Graph Recurrent Attention Networks (GRANs). The proposed model generates graphs one block of nodes and associated edges at a time.
(University of Toronto & Uber ATG Toronto & Vector Institute & DeepMind & Stanford University & McGill University & MILA & Canadian Institute for Advanced Research)


Deep Dynamics Models for Dexterous Manipulation
This work aims to push the boundary on task complexity, enabling a dexterous manipulator to turn a valve, reorient a cube in-hand, write arbitrary motions with a pencil, and rotate two Baoding balls around the palm.
(Berkeley Artificial Intelligence Research)

You May Also Like

GitHub Releases Dataset of Six Million Open-Source Methods for Code Search Research
In a bid to help software developers and foster innovative code search research, GitHub last week announced the CodeSearchNet Challenge in a joint effort with California-based machine learning development tools startup Weights & Biases.
(Synced)


DeepMind Uses GANs to Convert Text to Speech
DeepMind researchers are expanding GANs to audio, with a new adversarial network approach for high fidelity speech synthesis. They explored raw waveform generation using GANs composed of a conditional generator for producing raw speech audio and an ensemble of discriminators for analyzing the audio.
(Synced)

Global AI Events

October 8-10: Arm TechCon in San Jose, United States
October 23-25: NVIDIA’s GPU Technology Conference (GTC) in Munich, Germany
October 27-November 3: International Conference on Computer Vision (ICCV) in Seoul,South Korea
November 8: MLconf in San Francisco,United States

Global AI Opportunities

DeepMind Internship Program NVIDIA Graduate Fellowships
DeepMind Scholarship: Access to Science
LANDING AI is recruiting
Stanford HAI is Recruiting
OpenAI Seeking Software Engineers and Deep Learning Researchers
DeepMind is Recruiting


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2 comments on “TensorFlow 2.0 Released; Google’s Large Scale Multilingual Speech Recognition; AI Responds to Climate Change

  1. Pingback: TensorFlow 2.0 Released; Google’s Large Scale Multilingual Speech Recognition; AI Responds to Climate Change – Bitfirm.co

  2. Pingback: TensorFlow 2.0 Released; Google's Large Scale Multilingual Speech Recognition; AI Responds to … – NewsChest Technology

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