Ruslan Salakhutdinov, Apple AI leader, thoughts on deep learning:
https://www.technologyreview.com/s/603912/apples-ai-director-heres-how-to-supercharge-deep-learning/
#apple #deeplearning #theory
https://www.technologyreview.com/s/603912/apples-ai-director-heres-how-to-supercharge-deep-learning/
#apple #deeplearning #theory
MIT Technology Review
Apple’s AI Director: Here’s How to Supercharge Deep Learning
Apple’s director of artificial intelligence, Ruslan Salakhutdinov, believes that the deep neural networks that have produced spectacular results in recent years could be supercharged in coming years by the addition of memory, attention, and general knowledge.…
Can Global Semantic Context Improve Neural Language Models?
New article by #Apple Frameworks Natural Language Processing Team
https://machinelearning.apple.com/2018/09/27/can-global-semantic-context-improve-neural-language-models.html
#nlp
New article by #Apple Frameworks Natural Language Processing Team
https://machinelearning.apple.com/2018/09/27/can-global-semantic-context-improve-neural-language-models.html
#nlp
Apple Machine Learning Research
Can Global Semantic Context Improve Neural Language Models?
Entering text on your iPhone, discovering news articles you might enjoy, finding out answers to questions you may have, and many other…
Optimizing Siri on HomePod in Far‑Field Settings
New post by #Apple ML team
https://machinelearning.apple.com/2018/12/03/optimizing-siri-on-homepod-in-far-field-settings.html
#Siri #DL #homeassistant
New post by #Apple ML team
https://machinelearning.apple.com/2018/12/03/optimizing-siri-on-homepod-in-far-field-settings.html
#Siri #DL #homeassistant
Apple Machine Learning Research
Optimizing Siri on HomePod in Far‑Field Settings
The typical audio environment for HomePod has many challenges — echo, reverberation, and noise. Unlike Siri on iPhone, which operates close…
​​Racial Disparities in Automated Speech Recognition
To no surprise, speech recognition tools have #bias due to the lack of diversity in the datasets. Group of explorers addressed that issue and provided their’s research results as a paper and #reproducible research repo.
Project link: https://fairspeech.stanford.edu
Paper: https://www.pnas.org/cgi/doi/10.1073/pnas.1915768117
Github: https://github.com/stanford-policylab/asr-disparities
#speechrecognition #voice #audiolearning #dl #microsoft #google #apple #ibm #amazon
To no surprise, speech recognition tools have #bias due to the lack of diversity in the datasets. Group of explorers addressed that issue and provided their’s research results as a paper and #reproducible research repo.
Project link: https://fairspeech.stanford.edu
Paper: https://www.pnas.org/cgi/doi/10.1073/pnas.1915768117
Github: https://github.com/stanford-policylab/asr-disparities
#speechrecognition #voice #audiolearning #dl #microsoft #google #apple #ibm #amazon
News on new Macbook Pro 13:
* M1 Apple chip with built in stuff for ML — but anyway you won't build models on the laptop
* Max 16 Gb RAM — so you won't be able to open more tabs in Chrome / Safari
* 100% recycled alluminium — good for nature
* Improved microphones and camera — collegues will see better picture of you and listen to your cats meowing clearer
And still no reasons to update if you are doing any DS.
#Apple
* M1 Apple chip with built in stuff for ML — but anyway you won't build models on the laptop
* Max 16 Gb RAM — so you won't be able to open more tabs in Chrome / Safari
* 100% recycled alluminium — good for nature
* Improved microphones and camera — collegues will see better picture of you and listen to your cats meowing clearer
And still no reasons to update if you are doing any DS.
#Apple