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How cheap labor drives China’s A.I. ambitions
Cheap manual labor is one of the current requirements for large AI developments. China has a lot of inexpensive labor force and is making it one of its key advantages to become the AI world leader by 2030.
Is the Chinese billionaire Jack Ma using AI to create dystopian cities?
"News that tech giant Ma is a member of Communist party of China should set alarm bells ringing – and not just in China"
One of the fathers of AI is worried about its future
Yoshua Bengio wants to stop talk of an AI arms race and make the technology more accessible to the developing world.
Also in the news...
- US commerce department proposes new export restrictions on AI. Tweet, Report
- Fearful of gender bias, Google blocks gender based pronouns from Smart Compose. More
Learning
Easy-to-read summary of important AI research papers of 2018
Lack time to read research papers? Have a look at this great summary of some of the main ideas found in recent research papers, along with comments from the community.
Beating the state-of-the-art in NLP with HMTL
Multi-Task Learning is a general method in which a single architecture is trained towards learning several different tasks at the same time. Here's an example with such a model (HMTL) trained to beat the state-of-the-art on several NLP tasks.
Why bigger isn’t always better with GANs and AI art
Looking at GANs less from a performance standpoint and more from an artistic one.
Automated testing in the modern data warehouse
"If data issues have lasting consequences, why are we less sophisticated at testing than our software developing counterparts?"
Measuring what makes readers subscribe to The New York Times
How the NYT builds fast and reusable econometric models in-house
Software tools & code
BigGAN
A new state of the art in Image synthesis
Best Deals in Deep Learning Cloud Providers
Comparing prices to train models on GPUs and TPUs with AWS, Google, Paperspace, vast.ai and others.
Hardware
Basic Graphics Processing Unit (GPU) design concepts
Graphics pipeline, vector processing along with the other graphics operations. Useful to have in mind when wading into GPU-powered ML training.
Some thoughts
Portrait of Li Fei-Fei
Former Professor at Stanford University in Computer Vision, now Chief Scientist for Google Cloud AI — on her "quest to make AI better for humanity".
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