According to the latest report from IDC, global artificial intelligence market revenues, including software, hardware, and services for AI and non-AI applications, will be $383.3 billion in 2021, a 20.7% increase over the previous year.
https://bit.ly/3rZtdhU
https://bit.ly/3rZtdhU
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Data Phoenix Events team invites you all on October 19 to our "The A-Z of Data" charity AI webinar. The topic - "The promising role of synthetic data to enable responsible innovation".
You will leave this webinar with a better understanding of how synthetic data actually functions, how to use open-source libraries to evaluate data quality at scale, and the metrics needed to gauge the quality of the resulting synthetic data.
Speaker: Shalini Kurapati - Co-founder and CEO Clearbox AI.
Price: Free (donate). All donations go to the KOLO ( it is a project was created by Ukrainian technology industry experts to help Ukraine fight the war against Russia by supplying high-tech equipment to the front lines)
Registration: https://bit.ly/3MFlkI1
You will leave this webinar with a better understanding of how synthetic data actually functions, how to use open-source libraries to evaluate data quality at scale, and the metrics needed to gauge the quality of the resulting synthetic data.
Speaker: Shalini Kurapati - Co-founder and CEO Clearbox AI.
Price: Free (donate). All donations go to the KOLO ( it is a project was created by Ukrainian technology industry experts to help Ukraine fight the war against Russia by supplying high-tech equipment to the front lines)
Registration: https://bit.ly/3MFlkI1
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⚡️Hello friends!
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3eC1Wzd
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3eC1Wzd
Data Phoenix
Data Phoenix Digest - ISSUE 55
Charity AI webinar about synthetic data, introduction to DVC and MLflow for experiment tracking, vision transformer model, neural density-distance fields, 40 open-source audio datasets for ML, MDM, DiffDock, YOLO-FaceV2, news, tools, and more.
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📢 We are live and starting our charity webinar about synthetic data: "The promising role of synthetic data to enable responsible innovation." Join us - https://bit.ly/3CNYglZ
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Deloitte's fifth edition describes the state of AI in the enterprise. Four key report actions to maximize the value of AI.
https://bit.ly/3N6cFhZ
https://bit.ly/3N6cFhZ
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Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
https://bit.ly/3D7O9bR
https://bit.ly/3D7O9bR
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#Nvidia introduced the Latent Point Diffusion Model (LION), a DDM for 3D shape generation. LION focuses on learning a 3D generative model directly from geometry data without image-based training.
https://bit.ly/3DCuu5q
https://bit.ly/3DCuu5q
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Google Research and researchers at Tel Aviv University have created a method that enables editing generated images by only modifying the textual prompt.
https://bit.ly/3THUTUG
https://bit.ly/3THUTUG
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The Data Phoenix Events team invites you all to our upcoming «The A-Z of Data» charity webinar that’s going to take place on November 9, 2022 at 16.00 CET.
- Topic: «Learning Through Machine Learning: How We Built a Recommendation System from Scratch».
- Speaker: Dora Petrella, Senior Data Scientist at METRO.digital
- Language: English
- Participation: free (but you’ll be required to register)
- Karma perk: donate to our charity initiative
https://bit.ly/3DfNIfF
- Topic: «Learning Through Machine Learning: How We Built a Recommendation System from Scratch».
- Speaker: Dora Petrella, Senior Data Scientist at METRO.digital
- Language: English
- Participation: free (but you’ll be required to register)
- Karma perk: donate to our charity initiative
https://bit.ly/3DfNIfF
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⚡️Hello friends!
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3FnlsKy
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3FnlsKy
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Sequoia Capital has unveiled the Gen AI market map - The Generative AI Application Landscape, which brings together the best projects. Among them are Copy.ai, Contenda, Hypotenuse, Get Writer, GitHub, Stability AI, Craiyon, and many others!
https://bit.ly/3TXPlWn
https://bit.ly/3TXPlWn
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Meta Fundamental AI Research (FAIR) team on audio hypercompression shows how AI can be used to ensure that audio messages don't glitch or slow down when the Internet connection is poor.
https://bit.ly/3Dqsrju
https://bit.ly/3Dqsrju
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AutoAvatar is an autoregressive approach for modeling dynamically deforming human bodies directly from raw scans.
https://bit.ly/3gZ3Pqn
https://bit.ly/3gZ3Pqn
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⚡️Hello friends!
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3zIj1Po
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3zIj1Po
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YOWO-Plus: An Incremental Improvement
Developers make updates to the YOWO design to make it better. For the network structure, they use official YOWO, including 3D-ResNext-101, and the best pre-trained weight of the re-implemented YOLOv2, which is better than the official YOLOv2.
https://bit.ly/3U5jIdB
Developers make updates to the YOWO design to make it better. For the network structure, they use official YOWO, including 3D-ResNext-101, and the best pre-trained weight of the re-implemented YOLOv2, which is better than the official YOLOv2.
https://bit.ly/3U5jIdB
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At DataPhoenix, we work hard to offer you the best experience with our digest and events. Our goal is to make it easier for you to access the right information in the right place at the right time.
Just to learn more about you, our readers, we decided to launch a small survey initiative. Because the better we know you, the better content we can feature in the digest. Simple.
Please take part in the survey to help us make DataPhoenix better!
https://bit.ly/3zVTm5O
Just to learn more about you, our readers, we decided to launch a small survey initiative. Because the better we know you, the better content we can feature in the digest. Simple.
Please take part in the survey to help us make DataPhoenix better!
https://bit.ly/3zVTm5O
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CALA uses DALL-E to generate designs for clothing, accessories, footwear, and lifestyle products
https://bit.ly/3tcUxtW
https://bit.ly/3tcUxtW
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The new Musika music generation system can be trained on hundreds of hours of music using a single consumer GPU, and allows much faster generation of arbitrary length music on a consumer CPU.
https://bit.ly/3TikCSP
https://bit.ly/3TikCSP
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The eDiff-I diffusion model for image synthesis from text is a next-generation tool for generative AI content creation that offers unprecedented text-to-image fusion, instant style transfer, and intuitive word-drawing capabilities.
https://bit.ly/3TlQi9U
https://bit.ly/3TlQi9U
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📢 We are live and starting our charity webinar about recommendation systems: "Learning Through Machine Learning: How We Built a Recommendation System from Scratch”. Join us: https://bit.ly/3EeQrro
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DiffusionDB is the first large-scale text-to-image prompt dataset. It contains 2 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users.
https://bit.ly/3TuPKOS
https://bit.ly/3TuPKOS
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