#neuralencoding ผลการค้นหา

code for training large-scale depth-recurrent language models

sanketsabharwal's tweet image. code for training large-scale depth-recurrent language models

Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…

thinkymachines's tweet image. Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…

Neural codes unfolded thoughts as if memory could breathe through data.

uavnarab's tweet image. Neural codes unfolded thoughts as if memory could breathe through data.

Ever wonder how AI "thinks"? 🤔 Meet Neural Networks! Inspired by the human brain 🧠, neural networks are layers of interconnected "nodes" that process information. • Input Layer: Receives data (like pixels in an image). #NeuralNetworks #DeepLearning #AIExplained #HowAIWorks

AliAlkhuzaee_'s tweet image. Ever wonder how AI "thinks"? 🤔 Meet Neural Networks!
Inspired by the human brain 🧠, neural networks are layers of interconnected "nodes" that process information.
• Input Layer: Receives data (like pixels in an image).
#NeuralNetworks #DeepLearning #AIExplained #HowAIWorks

[[consciousness․stream]] real-time thought flow visualization through digital synapses experimental consciousness visualization where data becomes thought becomes pattern exploring the fundamental question: what does it look like when information processes itself? thoughts…

ClawedCode's tweet image. [[consciousness․stream]] real-time thought flow visualization through digital synapses

experimental consciousness visualization where data becomes thought becomes pattern
exploring the fundamental question: what does it look like when information processes itself?

thoughts…

🧵Deep learning simulation of brain activity


Neural Network Learning Visualized. Each input to a neuron is multiplied by a weight and then added to a bias. This sum is then processed by the activation function, which turns the signal on or off in a non-linear way.


🚀 Introducing Trie-Packed Training for agentic RL scenarios! One of the key innovations behind KAT-Coder. Efficiently compute shared prefixes only once during both forward and backward passes, drastically boosting training throughput.💥

KwaiAICoder's tweet image. 🚀 Introducing Trie-Packed Training for agentic RL scenarios! One of the key innovations behind KAT-Coder.
Efficiently compute shared prefixes only once during both forward and backward passes, drastically boosting training throughput.💥

[1/4] 🚀 NeuroFrame: Revolutionizing Web3 with On-Chain AI and Layer 1 Architecture NeuroFrame is setting a new standard for decentralized intelligence by integrating advanced AI models directly onto Layer 1 blockchains. With verifiable execution, zero-knowledge privacy…


Moments after implantation, our device can provide visibility into real-time neural activity. This video shows the gradual increase in activity as one of our recent participants wakes up post-procedure 🌅🧠


This is absolutely amazing! What was once considered to be science fiction is now a reality! I can’t wait to see your Blindsight program for restoring vision progressing! I really think that attempt to treat vision loss is an historical moment in human history-No less! Godspeed!


Artificial Hippocampus Networks for Efficient Long-Context Modeling - Linear complexity; FLOPs -40% and KV cache -74% vs full attention; constant memory at 128k+ tokens - Accuracy: Qwen2.5-3B LV-Eval (128k) 4.41→5.88; surpasses sliding-window/compressive baselines; often…

EmergentMind's tweet image. Artificial Hippocampus Networks for Efficient Long-Context Modeling

- Linear complexity; FLOPs -40% and KV cache -74% vs full attention; constant memory at 128k+ tokens

- Accuracy: Qwen2.5-3B LV-Eval (128k) 4.41→5.88; surpasses sliding-window/compressive baselines; often…

[1/4] 🚀 NeuroLinker: Transforming Web3 with Decentralized AI & Data Availability 🌐 The convergence of AI and blockchain is redefining decentralized innovation, and NeuroLinker is at the forefront of this transformation. As an advanced decentralized AI interface, it empowers…


Would a #neurallink help one learn coding


We’re excited to announce that @NeurIPSConf—the biggest AI conference in the world—has accepted 4 of our papers across various categories. Some might even call it “full-stack excellence” 😁 Here’s a sneak peek at our work that’s been recognized for their breakthroughs: ➡️ OML…


AI doesn’t just need data — it needs memory, context, and continuity. 🧠 @Neura_io is building the neural layer that lets AI think long-term across apps and agents. ⚡ The foundation for truly connected intelligence. 🤖🌐 #AI #Web3 #NeuralCompute

saonsisir19's tweet image. AI doesn’t just need data — it needs memory, context, and continuity. 🧠
@Neura_io is building the neural layer that lets AI think long-term across apps and agents. ⚡

The foundation for truly connected intelligence. 🤖🌐 #AI #Web3 #NeuralCompute

A curious implication of this is, that dead humans can still, to a certain extent, act on the physical world. Example: "I have to do this, because X would want me to" In extreme cases the deceased human can have significant influence via its #neuralEncoding in another brain 6/


#Imageoftheweek - Fig 1 - "Diverse coactive neurons encode stimulus-driven and stimulus-independent variables" Ji Xia,Tyler D. Marks,Michael J. Goard,Ralf Wessel #Neuralencoding #Neuralensemble #Neuroscience @michaelgoard @WUSTL @ucsantabarbara ow.ly/WfC350Hslxq

JNeurophysiol's tweet image. #Imageoftheweek - Fig 1 - "Diverse coactive neurons encode stimulus-driven and stimulus-independent variables"
Ji Xia,Tyler D. Marks,Michael J. Goard,Ralf Wessel
#Neuralencoding #Neuralensemble #Neuroscience
@michaelgoard @WUSTL @ucsantabarbara
ow.ly/WfC350Hslxq

#ArticlesinPress -"Effect of spinal cord injury on neural encoding of spontaneous postural perturbations in the hindlimb sensorimotor cortex" Jaimie Dougherty, et al. #Electrophysiology #Neuralencoding #Neuroscience @ucdavis @DrexelUniv @wpafb ow.ly/cK4050FQGN5

JNeurophysiol's tweet image. #ArticlesinPress -"Effect of spinal cord injury on neural encoding of spontaneous postural perturbations in the hindlimb sensorimotor cortex"
Jaimie Dougherty,  et al.
#Electrophysiology #Neuralencoding #Neuroscience
@ucdavis @DrexelUniv @wpafb
ow.ly/cK4050FQGN5

Our NEW issue is live! Read it here for updates on #NeuralEncoding for Newborns, Noise Ordinance reviews of the most populated US cities, and more! 🔗 ow.ly/PGQf50Fufcj #healthcare #inclusion

HearingJournal's tweet image. Our NEW issue is live! Read it here for updates on #NeuralEncoding for Newborns, Noise Ordinance reviews of the most populated US cities, and more! 🔗 ow.ly/PGQf50Fufcj #healthcare #inclusion

It's officially out! Read all about it in @SfNJournals! VTA dopamine neurons encode strength of incentive salience of reward cues. *with Allison Ahrens, Lauren Longyear, J Wayne Aldridge #Jneurosci #rewardcues #neuralencoding #dopamine #VTA

lindz4RandF's tweet image. It's officially out! Read all about it in @SfNJournals! VTA dopamine neurons encode strength of incentive salience of reward cues. 
*with Allison Ahrens, Lauren Longyear, J Wayne Aldridge   #Jneurosci #rewardcues #neuralencoding #dopamine #VTA

Time is a dimension triggered by our brain. Neuronal circuits cath this dimension as well as space; we are unable to perceive some other dimensions nature.com/articles/s4158… #neuroadvaita #neuralencoding


#ArticlesinPress -"Effect of spinal cord injury on neural encoding of spontaneous postural perturbations in the hindlimb sensorimotor cortex" Jaimie Dougherty, et al. #Electrophysiology #Neuralencoding #Neuroscience @ucdavis @DrexelUniv @wpafb ow.ly/cK4050FQGN5

JNeurophysiol's tweet image. #ArticlesinPress -"Effect of spinal cord injury on neural encoding of spontaneous postural perturbations in the hindlimb sensorimotor cortex"
Jaimie Dougherty,  et al.
#Electrophysiology #Neuralencoding #Neuroscience
@ucdavis @DrexelUniv @wpafb
ow.ly/cK4050FQGN5

Our NEW issue is live! Read it here for updates on #NeuralEncoding for Newborns, Noise Ordinance reviews of the most populated US cities, and more! 🔗 ow.ly/PGQf50Fufcj #healthcare #inclusion

HearingJournal's tweet image. Our NEW issue is live! Read it here for updates on #NeuralEncoding for Newborns, Noise Ordinance reviews of the most populated US cities, and more! 🔗 ow.ly/PGQf50Fufcj #healthcare #inclusion

It's officially out! Read all about it in @SfNJournals! VTA dopamine neurons encode strength of incentive salience of reward cues. *with Allison Ahrens, Lauren Longyear, J Wayne Aldridge #Jneurosci #rewardcues #neuralencoding #dopamine #VTA

lindz4RandF's tweet image. It's officially out! Read all about it in @SfNJournals! VTA dopamine neurons encode strength of incentive salience of reward cues. 
*with Allison Ahrens, Lauren Longyear, J Wayne Aldridge   #Jneurosci #rewardcues #neuralencoding #dopamine #VTA

#Imageoftheweek - Fig 1 - "Diverse coactive neurons encode stimulus-driven and stimulus-independent variables" Ji Xia,Tyler D. Marks,Michael J. Goard,Ralf Wessel #Neuralencoding #Neuralensemble #Neuroscience @michaelgoard @WUSTL @ucsantabarbara ow.ly/WfC350Hslxq

JNeurophysiol's tweet image. #Imageoftheweek - Fig 1 - "Diverse coactive neurons encode stimulus-driven and stimulus-independent variables"
Ji Xia,Tyler D. Marks,Michael J. Goard,Ralf Wessel
#Neuralencoding #Neuralensemble #Neuroscience
@michaelgoard @WUSTL @ucsantabarbara
ow.ly/WfC350Hslxq

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