Physics-Informed Neural Networks (PINNs) are a class of deep neural networks that embed physical laws directly into their loss/objective functions. In practice, this acts more like a regularizer than the network truly "understanding" physics.
To know more, stay tuned for the following real soon: 1. A *Dhyuti Talk* on " The universe of PINNs" soon! 2. A *code walkthrough* of SOTA PINNs - Following from an experts guide to training PINNs. 3. A *substack article* explaining how you could actually make sense of the really huge pile of papers about PINNs.
AI-Enhanced Subsurface Mapping 🌍🤖 From highways & bridges to pipelines under the seafloor — physics-informed AI is revolutionizing underground utility mapping with inch-level 3D accuracy.
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*Let's PINNPoint*
Physics-Informed Neural Networks (PINNs) are a class of deep neural networks that embed physical laws directly into their loss/objective functions. In practice, this acts more like a regularizer than the network truly "understanding" physics.
What are PINNs? So What? Why now? #Sciml #ai #deepleaning #pinns #machinelearning
To know more, stay tuned for the following real soon:
1. A *Dhyuti Talk* on " The universe of PINNs" soon!
2. A *code walkthrough* of SOTA PINNs - Following from an experts guide to training PINNs.
3. A *substack article* explaining how you could actually make sense of the really huge pile of papers about PINNs.
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3 months ago | [YT] | 0
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Dhyuti frontiers
🚨 Dhyuti Talk Notification 🚨
AI-Enhanced Subsurface Mapping 🌍🤖
From highways & bridges to pipelines under the seafloor — physics-informed AI is revolutionizing underground utility mapping with inch-level 3D accuracy.
🎙️ Speaker: Dr. Santi Adavani (CEO @ S2 Labs, ex-RocketML, PostgresML, Intel)
🗓️ 26th August, 2025 (Today) | 📍
RSVP: calendar.app.google/n7b3iwmt1HcqYymG6
#AI #DeepTech #Infrastructure #Geotech #Dhyuti
4 months ago | [YT] | 0
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