In this post, we illustrate how dimensionality reduction techniques including principal component analysis (PCA) and multidimensional…

Posted by Mingxing Tan, Staff Software Engineer and Quoc V. Le, Principal Scientist, Google AI Convolutional neural networks (CNNs) are commonly de...

A simpler version of the self-attention layer from SAGAN, and some image classification results. - sdoria/SimpleSelfAttention

Researchers have taken psycholinguistic tests originally developed to study human language understanding and adapted them to probe what neural networks know about language. Grammar helps the models learn faster and perform better.

Recent progress in artificial intelligence through reinforcement learning (RL) has shown great success on increasingly complex single-agent environments and two-player turn-based games. However,...

Lessons from a Recent Art Fair

The Russian Direct Investment Fund (RDIF) has raised $2 billion from foreign investors to support domestic companies developing Artificial Intelligence (AI) solutions, the Vedomosti business daily reported, citing a report the RDIF has prepared for a meeting…

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📝 The paper "Few-Shot Unsupervised Image-to-Image Translation" and its demo is available here:
https://nvlabs.github.io/FUNIT/
https://nvlabs.github.io/FUNIT/petswap.html

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French Art Collective Sells AI-Generated Portrait for $432K and Raises Questions from Creative Coding Community

MIT Assistant Professor Phillip Isola answers questions about the current and future state of generative adversarial networks, or GANs.

📝 The paper "Analysing Mathematical Reasoning Abilities of Neural Models" is available here:
https://arxiv.org/abs/1904.01557

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🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executive-programs/pgp-generative-ai-machine-learning-certification-training
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This Edureka video on "Artificial Intelligence Tutorial" will provide you with a detailed and comprehensive knowledge of Artificial…

3 Suggestions to Fight Gender Biases in AI Assistants

Posted by Karol Kurach, Research Lead and Olivier Bachem, Research Scientist, Google Research, Zürich The goal of reinforcement learning (RL) is ...

With a view to bridging the gap between deep learning and symbolic AI, we present a novel end-to-end neural network architecture that learns to form propositional representations with an...

MIT researchers have developed a “photonic” artificial intelligence (AI) accelerator that computes using light instead of electricity — and consumes relatively little power in the process — to run massive neural networks millions of times more efficiently…

A Summarisation of Facebook’s research paper titled “Does Object Recognition Work for Everyone?”