Transformers in Time Series: A Survey
A curated list of awesome resources (papers, code, data) on Transformers in Time Series categorized by tasks, including:
• Forecasting
• Anomaly detection
• Classification
Transformers capture long-range dependencies and interactions.
abs: https://arxiv.org/abs/2202.07125
pdf: https://arxiv.org/pdf/2202.07125.pdf
Awesome list repo: https://github.com/qingsongedu/time-series-transformers-review
A curated list of awesome resources (papers, code, data) on Transformers in Time Series categorized by tasks, including:
• Forecasting
• Anomaly detection
• Classification
Transformers capture long-range dependencies and interactions.
abs: https://arxiv.org/abs/2202.07125
pdf: https://arxiv.org/pdf/2202.07125.pdf
Awesome list repo: https://github.com/qingsongedu/time-series-transformers-review
googlefinance
Python module to get stock data from Google Finance API. This module provides no delay, real time stock data in NYSE & NASDAQ.
$pip install googlefinance
https://github.com/hongtaocai/googlefinance
Python module to get stock data from Google Finance API. This module provides no delay, real time stock data in NYSE & NASDAQ.
$pip install googlefinance
https://github.com/hongtaocai/googlefinance
GitHub
GitHub - hongtaocai/googlefinance: Python module to get real-time stock data from Google Finance API
Python module to get real-time stock data from Google Finance API - hongtaocai/googlefinance
Monday, 26 September 2022
Latest AI Curated Track
✍️✍️A third of scientists working on AI say it could cause global disaster. A survey covering the opinions of 327 researchers who had recently co-authored papers on AI research in natural language processing.
✍️✍️Tesla’s AI Day 2022 is scheduled for September 30 in Palo Alto, California.
✍️✍️AI will help phone photos surpass the DSLR, says Qualcomm
✍️✍️Over the past few weeks, researchers at Google have demoed an AI system, PaLI, that can perform many tasks in over 100 languages
✍️✍️A Berlin-based group launched a project called Source+ that's designed as a way of allowing artists, including visual artists, musicians and writers, to opt into and out of allowing their work being used as training data for AI.
✍️✍️According to International Data Corp, China will invest US$26.7 billion in artificial intelligence in 2026. With regards A total of 45,000 AI-related patent applications were filed in Shanghai
✍️✍️Saudi Arabia focuses on AI-driven economy, considers data the new oil: SDAIA
✍️✍️An artist based in New York City has been granted the first known registered copyright for artwork made using latent diffusion AI.
✍️✍️Salesforce AI Open-Sources ‘LAVIS,’ A Deep Learning Library For Language-Vision Research/Applications.
✍️✍️Harvard celebrated the launch of the Kempner Institute for the Study of Natural and Artificial Intelligence on Thursday
✍️✍️Cleareye AI Announces Strategic Alliance with J.P. Morgan
✍️✍️AI proves to be more accurate in diagnosing cardiac function than sonographers
✍️✍️Amazon SageMaker Provides New Built-in TensorFlow Image Classification Algorithms available in tensor flow hub.
✍️✍️ Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.
Inscribed by,
Raja
Latest AI Curated Track
✍️✍️A third of scientists working on AI say it could cause global disaster. A survey covering the opinions of 327 researchers who had recently co-authored papers on AI research in natural language processing.
✍️✍️Tesla’s AI Day 2022 is scheduled for September 30 in Palo Alto, California.
✍️✍️AI will help phone photos surpass the DSLR, says Qualcomm
✍️✍️Over the past few weeks, researchers at Google have demoed an AI system, PaLI, that can perform many tasks in over 100 languages
✍️✍️A Berlin-based group launched a project called Source+ that's designed as a way of allowing artists, including visual artists, musicians and writers, to opt into and out of allowing their work being used as training data for AI.
✍️✍️According to International Data Corp, China will invest US$26.7 billion in artificial intelligence in 2026. With regards A total of 45,000 AI-related patent applications were filed in Shanghai
✍️✍️Saudi Arabia focuses on AI-driven economy, considers data the new oil: SDAIA
✍️✍️An artist based in New York City has been granted the first known registered copyright for artwork made using latent diffusion AI.
✍️✍️Salesforce AI Open-Sources ‘LAVIS,’ A Deep Learning Library For Language-Vision Research/Applications.
✍️✍️Harvard celebrated the launch of the Kempner Institute for the Study of Natural and Artificial Intelligence on Thursday
✍️✍️Cleareye AI Announces Strategic Alliance with J.P. Morgan
✍️✍️AI proves to be more accurate in diagnosing cardiac function than sonographers
✍️✍️Amazon SageMaker Provides New Built-in TensorFlow Image Classification Algorithms available in tensor flow hub.
✍️✍️ Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.
Inscribed by,
Raja
AWS Question: A customer has a workload that will run for total of 6 months and can withstand interruptions. What would be the most cost-efficient Amazon EC2 instance purchasing option?
Anonymous Quiz
56%
On-Demand Instance
22%
Spot instance
0%
Dedicated Instance
22%
Reserved Instance
📣 Meta AI:
🫥 Make-a-video: The text-to-video generation without text-video data
🫥 Paper: https://makeavideo.studio/Make-A-Video.pdf
🫥 Project page: makeavideo.studio
An effective method that extends a diffusion-based T2I model to T2V through a spatiotemporally factorized diffusion model.
🫥 Make-a-video: The text-to-video generation without text-video data
🫥 Paper: https://makeavideo.studio/Make-A-Video.pdf
🫥 Project page: makeavideo.studio
An effective method that extends a diffusion-based T2I model to T2V through a spatiotemporally factorized diffusion model.
📣📣An AI used medical notes to teach itself to spot disease on chest x-rays
🫥🫥A team of researchers from Harvard Medical School trained the CheXzero model on a publicly available data set of more than 377,000 chest x-rays and more than 227,000 corresponding clinical reports. This taught it to associate certain types of images with their existing notes, rather than learning from structured data that had been manually labeled for the task.
Paper:
https://www.nature.com/articles/s41551-022-00936-9
News link:
https://www-technologyreview-com.cdn.ampproject.org/c/s/www.technologyreview.com/2022/09/15/1059541/ai-medical-notes-teach-itself-spot-disease-chest-x-rays/amp/
🫥🫥A team of researchers from Harvard Medical School trained the CheXzero model on a publicly available data set of more than 377,000 chest x-rays and more than 227,000 corresponding clinical reports. This taught it to associate certain types of images with their existing notes, rather than learning from structured data that had been manually labeled for the task.
Paper:
https://www.nature.com/articles/s41551-022-00936-9
News link:
https://www-technologyreview-com.cdn.ampproject.org/c/s/www.technologyreview.com/2022/09/15/1059541/ai-medical-notes-teach-itself-spot-disease-chest-x-rays/amp/
📣CLIP: The Most Influential AI Model From OpenAI — And How To Use It
🍀 CLIP stands for Constastive Language-Image Pretraining
🍀 CLIP is an open source, multi-modal, zero-shot model.
🍀 Given an image and text descriptions, the model can predict the most relevant text description for that image, without optimizing for a particular task.
🍀CLIP is trained using a staggering amount of 400 million image-text pairs. For comparison, the ImageNet dataset contains 1.2 million images.
🍀The final tuned CLIP model was trained on 256 V100 GPUs for two weeks. For an on-demand training on AWS Sagemaker, this would cost at least 200k dollars!
🍀 The model uses a minibatch of 32,768 images for training.
🍀 CLIP stands for Constastive Language-Image Pretraining
🍀 CLIP is an open source, multi-modal, zero-shot model.
🍀 Given an image and text descriptions, the model can predict the most relevant text description for that image, without optimizing for a particular task.
🍀CLIP is trained using a staggering amount of 400 million image-text pairs. For comparison, the ImageNet dataset contains 1.2 million images.
🍀The final tuned CLIP model was trained on 256 V100 GPUs for two weeks. For an on-demand training on AWS Sagemaker, this would cost at least 200k dollars!
🍀 The model uses a minibatch of 32,768 images for training.
📣📣Daft :
A fast, ergonomic and scalable open-source dataframe library: built for Python and Complex Data/Machine Learning workloads.
🫥Install
pip install getdaft.
🫥Why Daft ?
Processing Complex Data such as images/audio/pointclouds often requires accelerated compute for geometric or machine learning algorithms.
🫥Official Link
https://getdaft.io/
A fast, ergonomic and scalable open-source dataframe library: built for Python and Complex Data/Machine Learning workloads.
🫥Install
pip install getdaft.
🫥Why Daft ?
Processing Complex Data such as images/audio/pointclouds often requires accelerated compute for geometric or machine learning algorithms.
🫥Official Link
https://getdaft.io/
📣📣Tesla AI day updates
- Optimus bot revealed
- Dojo supercomputer
- Self-driving architecture upgrades
🫥 They introduced a prototype of their humanoid robot - Optimus. Only a concept last year - and now a reality. The progress was incredibly fast!
🫥 Optimus Specs
•Mass: 73kg
•Battery: Full day of work (2.3 kWh)
•Leveraging autopilot hardware & software
•Processing vision data
•Split-second decisions (multi-sensory inputs)
•Wireless connectivity & audio support (communication)
•Hardware security features
•Cost: ~$20K
🫥 Using language models to predict lanes is quite exciting!
- Optimus bot revealed
- Dojo supercomputer
- Self-driving architecture upgrades
🫥 They introduced a prototype of their humanoid robot - Optimus. Only a concept last year - and now a reality. The progress was incredibly fast!
🫥 Optimus Specs
•Mass: 73kg
•Battery: Full day of work (2.3 kWh)
•Leveraging autopilot hardware & software
•Processing vision data
•Split-second decisions (multi-sensory inputs)
•Wireless connectivity & audio support (communication)
•Hardware security features
•Cost: ~$20K
🫥 Using language models to predict lanes is quite exciting!
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🍀Check out this simple yet amazing application of Natural Language Processing (NLP)! Converting natural language text to a complex regular expression (Regex)!
🍀Definitely the work of a sequence to sequence transformer model behind the scenes, which can help generate a Regex pattern based on a natural language request. Simple and elegant and can help us do pattern matching much faster by getting ready-to-use Regexes.
Link https://www.autoregex.xyz/
🍀Definitely the work of a sequence to sequence transformer model behind the scenes, which can help generate a Regex pattern based on a natural language request. Simple and elegant and can help us do pattern matching much faster by getting ready-to-use Regexes.
Link https://www.autoregex.xyz/
All TensorFlow tools at one place:
🧠 To learn more about all of these amazing TensorFlow tools, check this out
https://www.tensorflow.org/resources/tools
🧠 To learn more about all of these amazing TensorFlow tools, check this out
https://www.tensorflow.org/resources/tools
AI content platform Jasper raises $125M at a $1.7B valuation
Jasper website : https://www.jasper.ai/
Source : https://techcrunch.com/2022/10/18/ai-content-platform-jasper-raises-125m-at-a-1-7b-valuation/
Jasper website : https://www.jasper.ai/
Source : https://techcrunch.com/2022/10/18/ai-content-platform-jasper-raises-125m-at-a-1-7b-valuation/