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JCIM & JCTC Journals
JCIM & JCTC Journals @JCIM_JCTC ·
Decoding Protein–Membrane Binding Interfaces from Surface-Fingerprint-Based Geometric Deep Learning and Molecular Dynamics Simulations #DeepLearning #MolecularDynamics pubs.acs.org/doi/10.1021/ac… @VanLehnGroup #JCIM Vol66 Issue4 #compchem
Decoding Protein–Membrane Binding Interfaces from Surface-Fingerprint-Based Geometric Deep Learning...

Predicting protein–membrane interactions is a formidable challenge due to the subtle physicochemical features that distinguish membrane-binding regions of a protein surface as well as the scarcity of...

From pubs.acs.org
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Charles Russo
Charles Russo @Charles_M_Russo ·
MIT's VibeGen AI Designs Proteins By Their Motion, Unlocking New Era In Medicine And Materials Science #AI #DeepLearning #HealthTech #GenAI #Manufacturing news.mit.edu/2026/mit-engin…
MIT engineers design proteins by their motion, not just their shape

VibeGen is a new generative AI model that designs proteins with dynamic vibration and movement. The model, developed at MIT, opens new possibilities for dynamic biomaterials and adaptive therapeutics.

From news.mit.edu
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Paperium
Paperium @paperium_net ·
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition #ai #sciencenews #DeepLearning #artificial_intelligence #Article #Review paperium.net/article/en/340…
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition: Analysis, Review & Summary | Paperium
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition: Analysis, Review...

In this work we present a framework for the recognition of natural scene text. Our framework does not require any human-labelled data, and performs word recognition on the whole image holistically,...

From paperium.net
Kartik malik
Kartik malik @itsKartikmalik ·
The constant warning by the God Father of #DeepLearning @geoffreyhinton is very serious not because it is AI which is dangreous it is because this new technology is build by Humans this is the dangreous. When humans last time build this world changing technology the first thing we did was dropping Thermo-Nuclear weapons on Hiroshima and Nagasaki. we build more extinction weapons.. if we see humans history we can clearly see whenever humans develop new technology the first thing we develop is weapons to kills each other. And now we are developing probably the most advanced Technology and probably most advancded than human beings themselves. We can clearly see how Pentagon is using these AI in warfares and training them on our war data... it would not be shocking if after some years AI would decide we are dumb species and we needs to go.. and it would not be AI problem it would be humans problem.. and apparently this cannot be stopped now it is out of hands now. Good Luck Humanity.
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Shaziya Hussain
Shaziya Hussain @ShaziyaHussain5 ·
Most people hear “Deep Learning” but don’t actually understand how it powers ChatGPT, self-driving cars & modern AI 🤖 I wrote a simple beginner-friendly guide explaining it step-by-step 👇 medium.com/p/deep-learnin…qnY #DeepLearning #AI #MachineLearning
🤖 Deep Learning Explained Simply: The Technology Behind ChatGPT, Self-Driving Cars & Modern AI

⚡ “Machine Learning learns from data. Deep Learning learns like a brain.”

From medium.com
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Akash Motghare
Akash Motghare @codesacure ·
Students! 🎓 Need compute for your AI research? Discover how one company is offering $20 in free cloud credits to fuel your projects. Don't let compute costs hold you back! #StudentTech #FreeCompute #DeepLearning #AI #Researchblog.codesacure.com/unlocking-free…a
Unlocking Free Compute: A Boon for Student Researchers

In the world of deep learning, artificial intelligence, and cutting-edge research, computational power is often the unsung hero. For students and independent researchers, however, accessing high-pe...

From blog.codesacure.com
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