Catégorie : Google AI
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Google & J.P. Morgan Propose Advanced Bandit Sampling for Multiplex Networks
https://syncedreview.com/2022/02/10/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-203/ Google & J.P. Morgan Propose Advanced Bandit Sampling for Multiplex Networks | Synced Graph neural networks (GNNs) have gained popularity in the AI research community due to their impressive performance in high-impact applications such as drug discovery and social network analyses. Most existing studies on GNNs however have focused on "monoplex" settings (networks with…
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Google AI Blog: Training Machine Learning Models More Efficiently with Dataset Distillation
https://ai.googleblog.com/2021/12/training-machine-learning-models-more.html?m=1
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Google’s Zero-Label Language Learning Achieves Results Competitive With Supervised Learning
While contemporary deep learning models continue to achieve outstanding results across a wide range of tasks, these models are known to have huge data appetites. The emergence of large-scale pretrained language models such as Open AI’s GPT-3 has helped reduce the need for task-specific labelled data in natural language processing… https://medium.com/syncedreview/googles-zero-label-language-learning-achieves-results-competitive-with-supervised-learning-e6dbd984d0e1
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Google Cloud launches Vertex AI, unified platform for MLOps | Google Cloud Blog
https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-launches-vertex-ai-unified-platform-for-mlops
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Google Replaces BERT Self-Attention with Fourier Transform: 92% Accuracy, 7 Times Faster on GPUs | Synced
https://syncedreview.com/2021/05/14/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-19/amp/
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Deploy T5 transformer model as a serverless FastAPI service on Google Cloud Run – YouTube
https://m.youtube.com/watch?v=OzV21spbCfI
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GooAQ 🥑: Google Answers to Google Questions!
https://github.com/allenai/gooaq GitHub – allenai/gooaq: Question-answers, collected from Google where the questions question are collected via Google auto-complete. The answers responses (short_answer and answer) were collected from Google’s answer boxes.The answer types (answer_type) are inferred based on the html content of Google’s response.Here is the dominant types in the current dataset: feat_snip: explanatory responses; the majoriy…
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Google Brain Introduces Symbolic Programming + PyGlove Library to Reformulate AutoML | by Synced | Feb, 2021 | Medium
https://medium.com/@Synced/google-brain-introduces-symbolic-programming-pyglove-library-to-reformulate-automl-bde1d60cb8f6
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Way beyond AlphaZero: Berkeley and Google work shows robotics may be the deepest machine learning of all | ZDNet
https://www.zdnet.com/article/way-beyond-alphazero-berkeley-and-google-work-shows-robotics-may-be-the-deepest-machine-learning-of-all/?utm_content=buffere4883&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
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14 free or affordable online courses to learn Python, offered by MIT, Harvard, UPenn, Google, and more
https://www.businessinsider.com/how-to-learn-python?_lrsc=eda1cd61-8077-4229-8cb0-1e997906fb46#learning-python-3 14 free or affordable online courses to learn Python, offered by MIT, Harvard, UPenn, Google, and more Python is one of the most popular programming languages used in everything from data analysis to AI. Here are some of the best classes to learn it. www.businessinsider.com
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Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
https://github.com/abhishekkrthakur/colabcode
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Google, Apple, and others show large language models trained on public data expose personal information | VentureBeat
https://venturebeat.com/2020/12/16/google-apple-and-others-show-large-language-models-trained-on-public-data-expose-personal-information/
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GitHub – WillianFuks/tfcausalimpact: Google’s Causal Impact Algorithm Implemented on Top of TensorFlow Probability
https://github.com/WillianFuks/tfcausalimpact
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Google AI Blog: Using AutoML for Time Series Forecasting
https://ai.googleblog.com/2020/12/using-automl-for-time-series-forecasting.html?m=1!~OMSelectionMarkerStart~!!~OMSelectionMarkerEnd~!
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Google and Microsoft Open Sourced These Two Frameworks to Train Deep Learning Models at Scale
GPipe and PipeDream are new frameworks for high scale training in deep learning solutions. https://medium.com/dataseries/google-and-microsoft-open-sourced-these-two-frameworks-to-train-deep-learning-models-at-scale-94d082e6c339 Google and Microsoft Open Sourced These Two Frameworks to Train Deep Learning Models at Scale GPipe and PipeDream are new frameworks for high scale training in deep learning solutions. medium.com
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GitHub – alihussainia/openvino-colab: OpenVINO Edge AI Applications deployment on Google Colaboratory
https://github.com/alihussainia/openvino-colab
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google-research/vision_transformer
https://github.com/google-research/vision_transformer
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Google TAPAS is a BERT-Based Model to Query Tabular Data Using Natural Language | by Jesus Rodriguez | DataSeries | Sep, 2020 | Medium
https://medium.com/dataseries/google-tapas-is-a-bert-based-model-to-query-tabular-data-using-natural-language-2435a386b43f
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Announcing Neo4j Aura on Google Cloud Platform
https://neo4j.com/blog/announcing-neo4j-aura-on-google-cloud-platform/ Announcing Neo4j Aura on Google Cloud Platform Today, Neo4j is proud to announce the general availability of Neo4j Aura™ on Google Cloud Platform (GCP).Neo4j Aura is the first and only integrated graph database service on GCP. If you haven’t seen it yet, Aura is the simplest way to run Neo4j in the cloud. Completely…
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GitHub – renatoviolin/Multiple-Choice-Question-Generation-T5-and-Text2Text: Question Generation using Google T5 and Text2Text
https://github.com/renatoviolin/Multiple-Choice-Question-Generation-T5-and-Text2Text
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Google open-sources Live Transcribe’s speech engine | VentureBeat
https://venturebeat.com/2019/08/16/google-open-sources-live-transcribes-speech-engine/
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DeepMind’s AI learns to generate realistic videos by watching YouTube clips | VentureBeat
https://venturebeat.com/2019/07/19/deepminds-ai-learns-to-generate-realistic-videos-by-watching-youtube-clips/
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Google AI Blog: Multilingual Universal Sentence Encoder for Semantic Retrieval
https://ai.googleblog.com/2019/07/multilingual-universal-sentence-encoder.html?m=1
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Google AI Blog: Advancing Semi-supervised Learning with Unsupervised Data Augmentation
https://ai.googleblog.com/2019/07/advancing-semi-supervised-learning-with.html?m=1
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Google AI Blog: Predicting Bus Delays with Machine Learning
https://ai.googleblog.com/2019/06/predicting-bus-delays-with-machine.html?m=1
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Google AI Blog: Innovations in Graph Representation Learning
https://ai.googleblog.com/2019/06/innovations-in-graph-representation.html?m=1