LIMoE: Learning Multiple Modalities with One Sparse Mixture of Experts Model
https://ai.googleblog.com/2022/06/limoe-learning-multiple-modalities-with.html
@tensorflowblog
https://ai.googleblog.com/2022/06/limoe-learning-multiple-modalities-with.html
@tensorflowblog
research.google
LIMoE: Learning Multiple Modalities with One Sparse Mixture-of-Experts Model
Posted by Basil Mustafa, Research Software Engineer and Carlos Riquelme, Research Scientist, Google Research, Brain team Sparse models stand out am...
https://blog.tensorflow.org/2022/06/Adding-Quantization-aware-Training-and-Pruning-to-the-TensorFlow-Model-Garden.html
@tensorflowblog
@tensorflowblog
blog.tensorflow.org
Adding Quantization-aware Training and Pruning to the TensorFlow Model Garden
We are excited to announce that we are extending the TFMOT model coverage to popular computer vision models in the TensorFlow Model Garden.
Scanned Objects by Google Research: A Dataset of 3D-Scanned Common Household Items
https://ai.googleblog.com/2022/06/scanned-objects-by-google-research.html
@tensorflowblog
https://ai.googleblog.com/2022/06/scanned-objects-by-google-research.html
@tensorflowblog
blog.research.google
Scanned Objects by Google Research: A Dataset of 3D-Scanned Common Household Items
Mapping Urban Trees Across North America with the Auto Arborist Dataset
https://ai.googleblog.com/2022/06/mapping-urban-trees-across-north.html
@tensorflowblog
https://ai.googleblog.com/2022/06/mapping-urban-trees-across-north.html
@tensorflowblog
blog.research.google
Mapping Urban Trees Across North America with the Auto Arborist Dataset
Quantum Advantage in Learning from Experiments
https://ai.googleblog.com/2022/06/quantum-advantage-in-learning-from.html
@tensorflowblog
https://ai.googleblog.com/2022/06/quantum-advantage-in-learning-from.html
@tensorflowblog
research.google
Quantum Advantage in Learning from Experiments
Posted by Jarrod McClean, Staff Research Scientist, Google Quantum AI, and Hsin-Yuan Huang, Graduate Student, Caltech In efforts to learn about the...
https://blog.tensorflow.org/2022/06/%20bringing-machine-learning-to-every-developers-toolbox.html
@tensorflowblog
@tensorflowblog
blog.tensorflow.org
Bringing Machine Learning to every developer’s toolbox
TensorFlow is now being downloaded over 18M times per month and has amassed 166k stars on GitHub – more than any other ML framework.
Minerva: Solving Quantitative Reasoning Problems with Language Models
https://ai.googleblog.com/2022/06/minerva-solving-quantitative-reasoning.html
@tensorflowblog
https://ai.googleblog.com/2022/06/minerva-solving-quantitative-reasoning.html
@tensorflowblog
research.google
Minerva: Solving Quantitative Reasoning Problems with Language Models
Posted by Ethan Dyer and Guy Gur-Ari, Research Scientists, Google Research, Blueshift Team Language models have demonstrated remarkable performance...
Identifying Disfluencies in Natural Speech
https://ai.googleblog.com/2022/06/identifying-disfluencies-in-natural.html
@tensorflowblog
https://ai.googleblog.com/2022/06/identifying-disfluencies-in-natural.html
@tensorflowblog
research.google
Identifying Disfluencies in Natural Speech
Posted by Dan Walker and Dan Liebling, Software Engineers, Google Research People don’t write in the same way that they speak. Written language is ...
MLGO: A Machine Learning Framework for Compiler Optimization
https://ai.googleblog.com/2022/07/mlgo-machine-learning-framework-for.html
@tensorflowblog
https://ai.googleblog.com/2022/07/mlgo-machine-learning-framework-for.html
@tensorflowblog
blog.research.google
MLGO: A Machine Learning Framework for Compiler Optimization
Enabling Creative Expression with Concept Activation Vectors
https://ai.googleblog.com/2022/07/enabling-creative-expression-with.html
@tensorflowblog
https://ai.googleblog.com/2022/07/enabling-creative-expression-with.html
@tensorflowblog
research.google
Enabling Creative Expression with Concept Activation Vectors
Posted by Been Kim, Research Scientist, Google Research, Brain Team, and Alison Lentz, Senior Staff Strategist, Google Research, Mural Team Advance...
Deep Hierarchical Planning from Pixels
https://ai.googleblog.com/2022/07/deep-hierarchical-planning-from-pixels.html
@tensorflowblog
https://ai.googleblog.com/2022/07/deep-hierarchical-planning-from-pixels.html
@tensorflowblog
research.google
Deep Hierarchical Planning from Pixels
Posted by Danijar Hafner, Student Researcher, Google Research Research into how artificial agents can make decisions has evolved rapidly through ad...
Revisiting Mask Transformer from a Clustering Perspective
https://ai.googleblog.com/2022/07/revisiting-mask-transformer-from.html
@tensorflowblog
https://ai.googleblog.com/2022/07/revisiting-mask-transformer-from.html
@tensorflowblog
blog.research.google
Revisiting Mask Transformer from a Clustering Perspective
Rewriting Image Captions for Visual Question Answering Data Creation
https://ai.googleblog.com/2022/07/rewriting-image-captions-for-visual.html
@tensorflowblog
https://ai.googleblog.com/2022/07/rewriting-image-captions-for-visual.html
@tensorflowblog
research.google
Rewriting Image Captions for Visual Question Answering Data Creation
Posted by Soravit Beer Changpinyo and Doron Kukliansky, Senior Software Engineers, Google Research Visual Question Answering (VQA) is a useful mac...
Towards Reliability in Deep Learning Systems
https://ai.googleblog.com/2022/07/towards-reliability-in-deep-learning.html
@tensorflowblog
https://ai.googleblog.com/2022/07/towards-reliability-in-deep-learning.html
@tensorflowblog
research.google
Towards Reliability in Deep Learning Systems
Posted by Dustin Tran and Balaji Lakshminarayanan, Research Scientists, Google Research Deep learning models have made impressive progress in visio...
Simplified Transfer Learning for Chest Radiography Model Development
https://ai.googleblog.com/2022/07/simplified-transfer-learning-for-chest.html
@tensorflowblog
https://ai.googleblog.com/2022/07/simplified-transfer-learning-for-chest.html
@tensorflowblog
blog.research.google
Simplified Transfer Learning for Chest Radiography Model Development
Training Generalist Agents with Multi-Game Decision Transformers
https://ai.googleblog.com/2022/07/training-generalist-agents-with-multi.html
@tensorflowblog
https://ai.googleblog.com/2022/07/training-generalist-agents-with-multi.html
@tensorflowblog
research.google
Training Generalist Agents with Multi-Game Decision Transformers
Posted by Winnie Xu, Student Researcher and Kuang-Huei Lee, Software Engineer, Google Research, Brain Team Current deep reinforcement learning (RL)...