Thiaw, D. , Wade, A. , Sall, M. , Diouf, S. and Dieye, G. (2026) Utilization of Eggshells Waste as an Additive to Improve the Mechanical Properties of Clays. Journal of Minerals and Materials ...
Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Abstract: Detection of targets for hyperspectral images (HSIs) persists as a fundamental task in remote sensing image processing. Exploring the discriminative ability of deep Siamese networks to ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Indian American researcher Meha Jain has won the inaugural ASU-Science Prize for Transformational Impact for her research ...
In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...
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