In this paper we investigate a neural network model in which weights between computational nodes are modified according to a local learning rule. To determine w...
The Machine Consciousness Hypothesis states that consciousness is a substrate-free functional property of computational systems capable of second-order percepti...
Inference over large-scale foundation models within heterogeneous edge environments necessitates a fundamentally reconfigurable orchestration substrate. Static ...
Microservices have transformed software architecture through the creation of modular and independent services. However, they introduce operational complexities ...
Quality-Diversity (QD) algorithms constitute a branch of optimization that is concerned with discovering a diverse and high-quality set of solutions to an optim...
Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-wo...
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An anonymous reader shared this report from CNBChttps://www.cnbc.com/2025/11/28/leonardo-unveils-michelangelo-dome-ai-powered-shield-system.html: Italian defens...
A recent Theory Ventures survey found that 91% out of 413 senior technical builders surveyed are either directly building AI, The post Most Developers Call AI D...
Reasoning over dynamic visual content remains a central challenge for multimodal large language models. Recent thinking models generate explicit reasoning trace...
Recent multimodal large language models (MLLMs) have advanced video understanding, yet most still 'think about videos' ie once a video is encoded, reasoning unf...
Developing robust world model reasoning is crucial for large language model (LLM) agents to plan and interact in complex environments. While multi-turn interact...
