🚨 NEW paper from Meta What if the model wasn’t just using the computer… but actually became the computer? A new paper from Meta AI KAUST makes a compelling case for Neural Computers (NCs) — a paradigm where computation, memory, and I/O are unified inside a single latent state. Their early prototypes? They use video models to generate and operate terminal GUI interfaces directly from prompts, pixels, and user actions. Why this matters Today’s AI agents still rely heavily on external systems: - Memory → external storage - Execution → external runtimes - Interfaces → predefined abstractions Neural Computers challenge that entire stack. They point toward a new computing substrate where: - Interface dynamics are learned - Memory is intrinsic - Execution is embedded ### Early signals (grounded but important) - CLI rendering shows measurable improvement - GUI cursor control hits 98.7% accuracy (with visual supervision) - Reprompting boosts arithmetic probe accuracy from 4% → 83% But key challenges remain: - Symbolic reliability - Stable reuse of learned computation - Runtime governance This isn’t just “agents getting better.” It’s a deeper question: 👉 What comes after agents as the interface to computation? 📄 Paper: arxiv.org/abs/2604.06425 Follow my communities and personal initiatives: 🔗 Amazing AI, Data, Quantum Computing & Emerging Technologies drdebashisdutta.com/ 🔗 Research & Innovation – Quantum, AI & Advanced Systems researchedge.org/ #ArtificialIntelligence #MetaAI #NeuralComputing #AIResearch #FutureOfComputing #MachineLearning #DeepLearning #AIArchitecture #EmergingTech #GenerativeAI #AILeadership #Innovation

I pledge that all art in Drone Commander, in game and concept will be 100% human only. As is the voice acting. It's not some boomer AI-hate, bit about me, I've been an AI expert for 20 years, I started in neuralcomputing. So why not use it then? I'm building a universe/story i've been wanting to tell for years, it's very nuanced and different from off the shelf SciFi, the artists, musicians and actors are hand picked to show the raw side of things. AI will certainly improve, images and so on - video less so, because diffusion models don't understand what happened a second ago, its why AI vids looks so all over the place; this is known as object persistence (to gamers). But even if it gets cracked tomorrow, there is a unique beauty and nuance knowing things are hand crafted. For those following me on streams, you'll know that I raw dog code the entire game, I scream, shout, make mistakes, throw things... but get there in the end.

The Next Evolution of AI… using HUMAN brain cells... 👁️‍🗨️ Scientists are now growing mini human brains in labs… and teaching them to think. It’s not sci-fi anymore... It’s Organoid Intelligence Real human neurons Real memory Real ethical chaos The next evolution of AI… might be alive 🧠 #AIRevolution #BioTech #OrganoidIntelligence #NeuralComputing #Futurism #ScienceNews #TechTalk #BrainOrganoids #HumanVsMachine #ArtificialIntelligence #FutureTech #MindBlown

In neuralcomputing applications it integrates cognitive science with computation, using geometric frameworks to simplify complex neural networks and learning by way of simulation.

5/ That’s where diffusive memristors come in. They move ions just like neurons do, allowing circuits to “remember” and “forget.” it’s an exciting convergence between biology and electronics. #Memristor #NeuralComputing

🚨🚨"The build-out of AI capacity by Microsoft, Amazon, Meta, and Nvidia is pushing us closer to the dawn of Artificial Superintelligence (ASI). But the question is clear: how do we sustain the massive energy and resource demands of cognition-level computing?🌐" #ArtificialSuperintelligence #ASI #AIandBiotech #SustainableTech #FutureOfAI #BrainTech #NeuralComputing #TechSustainability #BlackRock #TheBitcoin #Web3 #DecentralizeEducation

Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis Akarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanley : arxiv.org/abs/2505.11581 #ArtificialIntelligence #EvolutionaryComputing #NeuralComputing

Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis Akarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanley : arxiv.org/abs/2505.11581 #ArtificialIntelligence #EvolutionaryComputing #NeuralComputing

🥥 AI transforms agriculture! Kudos to Dr. Rajesh, Sakthiprasad, & Ragavendra for their Q1 paper on identifying coconut maturity with AI! 🌱✨Published in Neural Computing & Applications (IF 5.102). 🚜🌾#AgriTech #AI #Innovation #CoconutFarming #SmartFarming #NeuralComputing

Artificial Neural Network Market CAGR Forecast! 🇯🇵Japan 26.00% 🇰🇷South Korea 25.10% 🇮🇹Italy 24.80% 🇪🇸Spain 23.60% 🇦🇺Australia 22.80% 🇨🇦Canada 22.00% 🇫🇷France 20.20% 🇮🇳India 20.00% 🇩🇪Germany 19.10% 🇨🇳China 18.80% 🇬🇧UK 18.20% 🇺🇸U.S. 17.70% 📈Find out what CAGR other countries will have:bit.ly/3RCPekr #NeuralNetworks #ArtificialNeuralNetwork #DeepLearning #MachineLearning #NeuralNetworkAlgorithm #AIProgramming #NeuralNetworkDesign #NeuralNetworkModels #DeepNeuralNetworks #NeuralNetworkTraining #AIInnovation #NeuralNetworkArchitecture #NeuralComputing #NeuralNetworkResearch #DeepLearningModels

The Mathematics of Consciousness, a wonderful tutorial discussing the mathematics behind the Integrated Information Theory (IIT) to consciousness. #consciousness #NeuralNetworks #neuralcomputing youtube.com/watch?v=Sp9B7raW…

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities Lehman et al.: arxiv.org/abs/1803.03453 #ArtificialIntelligence #NeuralComputing #EvolutionaryComputing

Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition Eleni Nisioti, Clément Moulin-Frier: arxiv.org/abs/2202.08834 #ArtificialIntelligence #Evolution #NeuralComputing

gm - 20220208 Photo_ID #44 - 322 ed. Not a face, just math? #NFTs #NeuralComputing #MachineLearning

Towards Scaling Difference Target Propagation by Learning Backprop Targets Ernoult et al.: arxiv.org/abs/2201.13415 #ArtificialIntelligence #DeepLearning #NeuralComputing

Real-time super-resolution mapping of locally anisotropic grain orientations for ultrasonic non-destructive evaluation of crystalline material strathprints.strath.ac.uk/78… #OpenAccess #NeuralComputing #ComputerScience @EEEStrathclyde @StrathMathStat @ktant8

Strong Generalization and Efficiency in Neural Programs Li et al.: arxiv.org/abs/2007.03629 #ArtificialIntelligence #NeuralComputing #MachineLearning

Generative Art Using Neural Visual Grammars and Dual Encoders Fernando et al.: arxiv.org/abs/2105.00162 #ArtificialIntelligence #NeuralComputing #EvolutionaryComputing

Deep Learning and the Global Workspace Theory Rufin VanRullen, Ryota Kanai: arxiv.org/abs/2012.10390 #ArtificialIntelligence #DeepLearning #NeuralComputing

Emergent Symbols through Binding in External Memory Webb et al.: arxiv.org/abs/2012.14601 #ArtificialIntelligence #MachineLearning #NeuralComputing