Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
If you replay arguments long after they end, your brain may be seeking reward, not resolution. Here’s how dopamine shapes ...
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Researchers at China’s Guangdong Power Grid have proposed integrating solar power with a small modular nuclear reactor (SMR) to enhance microgrids’ short-term dispatch capability while improving their ...
The development of personalized learning support systems for special education is crucial to address the limitations of traditional one-size-fits-all approaches in meeting diverse learner needs.
This valuable developmental study provides intriguing but incomplete evidence suggesting that, relative to adults, the enhancement of instrumental learning by Pavlovian bias is most pronounced in ...
MAESTRO's current research agent architecture relies heavily on external retrieval mechanisms (web search and document embeddings via RAG pipeline) for gathering information. While effective, this ...
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