Top Tweets for #ContentAddressing
AI model training runs are non-reproducible if the underlying dataset changes. @Filecoin's content addressing ensures that dataset CIDs remain immutable references. Change the data, get a different CID. Scientific reproducibility preserved. #Reproducibility #ContentAddressing
New NVIDIA physical AI agent-ready skills are changing how robotics researchers work. 🤖
With NVIDIA robotics skills, researchers can automate the most common development steps from scene preparation to simulation and learning with Omniverse libraries, Isaac frameworks, and physical AI open datasets.
Specialized skills like Isaac Mobility extend that even further.
Learn more ➡️ https://t.co/WwGv2XYpEi
Content addressing provides important benefits like immutability, verification of data, and deduplication that location addressing can't. #ipfs #contentaddressing
With things like #contentaddressing, we can liberate this picture from needing access in a particular place. We've made it possible to have a universal location.
Check https://t.co/mSnIqsYuc5 for detailed resources on #ipfs #filecoin #ContentAddressing #MerkleDAG
Cc @gdsc_chukauni
The #distributedweb is built on #contentaddressing. In practice this means referring to content by its hash - the output of running content through an algorithm that creates a fixed-length “fingerprint” of the content. For more on how it applies @qri_io:
https://t.co/IOUiAiirde
Building #opendata systems to behave more like #opensource code systems requires rethinking assumptions. Content-addressed distributed networks allow us to question assumptions underlying today’s databased-backed open data systems https://t.co/YYhnYTKQeL
#IPFS #contentaddressing
The benefits of building a dataset version control system on the #decentralizedweb are MANY. Here's how we explain one of them, #contentaddressing: https://t.co/HENFA89DMD
#opensource #dweb #IPFS #DApps #gitfordata #githubfordata #opendata #datascience #decentralizedwebsummit
Transitioning from location addressing to #contentaddressing has a #decentralizing effect. Being freed from concerns of location, every “download” of a #dataset can be used to make that dataset available, fighting #linkrot https://t.co/YYhnYTKQeL
#gitfordata #githubfordata #qri
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