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Earth Week: AI Helps Build A Sustainable Future

Synced Global AI Weekly April 28th

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AI for Earth Can Be A Game-Changer for Our Planet
Microsoft announced that they are broadening their AI for Earth program with an expanded strategic plan and committing $50 million over the next five years to put artificial intelligence technology in the hands of individuals and organizations around the world who are working to protect our planet.
(Microsoft) 


The AI for Climate Change Bootcamp
Stanford ML group launched The AI for Climate Change Bootcamp provides Stanford students an opportunity to do cutting-edge research at the intersection of AI and climate change. Students receive training from PhD students and bootcamp faculty to do high impact work.
(Stanford ML Group) 


National Science Foundation Awards Litterati Grant to Advance Its AI for A Cleaner Planet
On Earth Day, 2019, the National Science Foundation has awarded Litterati a second grant in the amount of $750,000 to advance its machine learning and further its mission to create a litter-free world by using data to plot and identify litter across the planet. 
(Forbes)


AI May Help Develop Clean, Limitless Fusion Energy
A team, including researchers from Princeton University and Harvard University, is applying deep learning to forecast sudden disruptions that can halt fusion reactions and damage the doughnut-shaped tokamaks or apparatus that house the reactions.
(TheWeek)

Technology

OpenAI Created Musenet, A Deep Neural Network
OpenAI has created Musenet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles. MuseNet discovered patterns of harmony, rhythm, and style by learning to predict the next token in hundreds of thousands of MIDI files.
(OpenAI)


Speech Synthesis from Neural Decoding of Spoken Sentences
Researchers designed a neural decoder that explicitly leverages kinematic and sound representations encoded in human cortical activity to synthesize audible speech. Recurrent neural networks first decoded directly recorded cortical activity into representations of articulatory movement, and then transformed these representations into speech acoustics. 
(UCSF & UC Berkeley)


SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition
Researchers from Google AI take a new approach to augmenting audio data, treating it as a visual problem rather than an audio one. Instead of augmenting the input audio waveform as is traditionally done, SpecAugment applies an augmentation policy directly to the audio spectrogram (i.e., an image representation of the waveform).
(Google AI)

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Does AI Get The Joke?
When AI researchers have attempted to decode humour and teach machines to understand it, their work has sometimes produced unexpected benefits. Because joke comprehension requires an AI to accurately interpret context, delivery, tone, emotion, etc., research on humour has offered insights for enriching NLP research, enabling human-machine conversations to be more natural.
(Synced) 


The 10 Biggest Semiconductor M&A Deals in 2018
Despite US M&A activity declined in 2018, transactions are continuing, with some of the most valuable deals made in China and Japan. These countries must however deal with technology limitations for general-purpose chip and high-precision semiconductor R&D if they hope to overcome US dominance in the global semiconductor industry.
(Synced)

Global AI Events

May 6-8: Microsoft Build in Seattle, United States

May 7-9: Google I/O in Mountain View, United States

May 23-24: Deep Learning Summit in Boston, United States

June 4-7: Amazon re:MARS in Las Vegas, United States

Global AI Opportunities

Research Scientist, Google Brain Toronto

OpenAI is looking for software engineers and deep learning researchers 

DeepMind Scholarship: Access to Science

Postdoctoral Researcher (AI) – Self-Supervised Learning

LANDING AI is recruiting


Stay tight with AI! 
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