A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.
Modern Engineering Marvels on MSN
Neural Pathways for Memory and Logic in AI Now Mapped Separately
What if a model could forget without losing its mind?” That question now has a technical foothold, thanks to new research from Goodfire.ai that reveals a clean architectural split between memorization ...
The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...
Abstract: To address this, the proposed work advocates for a new Gradient-Convergent Stability Optimization Framework (GCSOF) that improves the stability and performance of backpropagation in ...
1 Institute for Artificial Intelligence, Data Analysis and Systems (AIDAS), School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, United Kingdom 2 Independent Researcher ...
Computing power has increased exponentially over the past few decades. We now have cameras on smartphones with incredible computational photography, voice assistants that respond near instantaneously, ...
Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing ...
Abstract: State of Charge (SOC) is a crucial parameter in battery monitoring systems, particularly for buoys operating in maritime environments where stable power supply is essential. This study ...
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