AI - AI Dynamics

Keras Preprocessing Layers: High-Performance In-Graph Implementation

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11 November 2022 23h16

All the work is done in Keras preprocessing layers, which are implemented in TF ops (everything is 100% in-graph!) so it's highly performant. During training (presumably on GPU/TPU) you'd use async preprocessing in TF data to avoid CPU preprocessing being a bottleneck.

→ View original post on X — @fchollet

11 November 2022

Leveraging Holistic Patient Data for Improved Population Health Outcomes

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@antgrasso

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11 November 2022 23h00

The key to positive population health outcomes is to leverage data that provide holistic profiles of patients, using technology to work on preestablished codes to bridge the cost of care. Source @techmenttech Link https://
bit.ly/3TiJKcy via @antgrasso #HealthTech #Healthcare

→ View original post on X — @antgrasso

11 November 2022

AI Generates Book Synopses: Try Our New Creative Tool

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@cohere

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11 November 2022 22h52

Earlier this week, the world celebrated International Book Lovers Day. So this week's preset is all about books. Enter a book name (make something up!) and our AI model will generate a synopsis. Try it out yourself in our Playground – https://t.co/30GOP00ZU1 pic.twitter.com/syk61GjCx1
— Cohere (@cohere) 11 novembre 2022

Earlier this week, the world celebrated International Book Lovers Day. So this week's preset is all about books. Enter a book name (make something up!) and our AI model will generate a synopsis. Try it out yourself in our Playground – https://
hubs.li/Q01s6X8t0

→ View original post on X — @cohere

11 November 2022

Top Innovators Share What to Look for in MLOps Jobs

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@dominodatalab

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11 November 2022 22h51

Planning your next move? Check out what these top innovators say you should look for in your next job. #MLOps

→ View original post on X — @dominodatalab

11 November 2022

The Most Consequential $8 Spent in Modern Human History

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@datachaz

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11 November 2022 22h51

The most consequential $8 spent in modern human history

→ View original post on X — @datachaz

11 November 2022

IBM Unveils More Powerful Quantum Computing Chip

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@steve_rosenbush

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11 November 2022 22h42

IBM says it has created a more powerful quantum computing chip, the next step in a yearslong effort. https://
wsj.com/articles/ibm-u
nveils-new-chip-in-push-to-realize-quantum-computings-promise-11667854695?st=qnnii0kzrt2q1jr&reflink=desktopwebshare_twitter
… @IsabelleBiscuit #QuantumComputing #cio @IBMNews @dariogila

→ View original post on X — @steve_rosenbush

11 November 2022

Microsoft 365 Ignite: Workforce Collaboration Across Office Locations

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@craigbrownphd

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11 November 2022 22h41

Microsoft 365 at Ignite—Re-energize your workforce in the office, at home, and everywhere in between https://
microsoft.com/en-us/microsof
t-365/blog/2022/10/12/microsoft-365-at-ignite-re-energize-your-workforce-in-the-office-at-home-and-everywhere-in-between/?utm_source=dlvr.it&utm_medium=twitter
… #Office365 #Cloud #Microsoft #Collaboration #TeamCollaboration #DataIntelligence #Agile #MicrosoftCloud

→ View original post on X — @craigbrownphd

11 November 2022

T5 and CLIP Embeddings: Superior Combined Performance Analysis

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@alexjc

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11 November 2022 22h26

They ablate the embeddings in the paper and found that T5 and CLIP together are superior to either on their own. Not clear just how much difference it makes on text though… Imagen is bigger than SD, hard to disentangle the size from embedding on text. Good hypothesis though!

→ View original post on X — @alexjc

11 November 2022