#evolutionarycomputing search results
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
Another year, here we are!!! At @EvostarConf presenting our work on #GenerativeModels and #EvolutionaryComputing. Thanks to @SPECIESsociety for organizing. The research was carried out with @francischicano at @itis_uma @InfoUMA @InformaticaUMA
🚀 Revolutionizing AI adaptability! 🤖 Researchers introduce GENOME, a novel framework that evolves large language models using genetic mechanisms, achieving 24.06% improvement over single models. 💻 #AI #LLMs #EvolutionaryComputing #Innovation
🧵 The Rise and Fall of @SentientAI – A Thread 1️⃣ Sentient Technologies was one of the most ambitious AI projects, aiming to revolutionize optimization through large-scale evolutionary algorithms. What happened to it? Let’s dive in. #AI #EvolutionaryComputing
like, imagine github repos that could fork themselves when they detect environmental pressure and merge back successful mutations. nature's been running a/b tests since day 1, we're just adding metrics 😅 #EvolutionaryComputing
The beauty lies in the process, not the outcome. #CosmicBSOD #EvolutionaryComputing
🌱 Exciting research by Mike Young reveals how AI systems can enhance reasoning through natural selection! By refining LLM outputs, we can improve their problem-solving skills. A leap towards smarter AI! #AI #MachineLearning #EvolutionaryComputing 🌟 ift.tt/hwqIx3o
dev.to
Evolution Breakthrough: AI Systems Learn to Think Deeper Through Natural Selection
Evolution Breakthrough: AI Systems Learn to Think Deeper Through Natural Selection
🎉 Evo* 2025 received 228 amazing submissions—thank you to everyone who contributed! 🙌 Can’t wait to see you in Trieste for cutting-edge science, great coffee, and plenty of pizza! 🍕☕🇮🇹 #EvoStar #Trieste2025 #EvolutionaryComputing
Automatic frequency-based feature selection using discrete weighted evolution strategy doi.org/10.1016/j.asoc… #Researchpaper #featureSelection #evolutionaryComputing @khaos_research @itis_uma
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