Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Scientists have tapped artificial intelligence and powerful computing to take a first step to speed up how quickly officials ...

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EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Deep research’ AI agents combine large language models with sophisticated reasoning frameworks to conduct in-depth, ...

Let's say you're reading a story, or playing a game of chess. You may not have noticed, but each step of the way, your mind ...

Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and ...

In the extractive desulfurization of model diesel fuels, the effects of the addition of electron-accepting compounds were investigated. Using acetonitrile (AN) as the extraction solvent, the addition ...

We propose a system for high-efficiency introspective compression, built around a learned latent manifold of transformer states. This introduces a lightweight sidecar model that rides alongside a host ...

By using the Aquila Optimizer, the proposed model efficiently fine-tunes hyperparameters to improve the Temporal Fusion Transformer’s performance. The balance between exploration and exploitation ...