The high-performance semiconductor devices powering smartphone displays, AI computing, EV batteries and more are increasingly ...
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AI-guided LNP design for targeted in vivo mRNA delivery
Messenger RNA (mRNA) therapeutics have moved from a promising idea to clinical reality, accelerating vaccine development and opening new paths ...
Topological Design and Optimization of ISLs in LEO Constellations Using Covering Space and Generator
Abstract: The rapid development of low Earth orbit (LEO) satellite constellations in global communications, navigation, and remote sensing has significantly increased the demand for efficient ...
AI is transforming dairy operations and boosting investor confidence. One cheese manufacturer achieved a 1% to 3% margin improvement—and millions in additional revenue—through AI-driven yield ...
Discover how CRISPR genome editing is revolutionizing medicine. Learn the science of Cas9, current clinical trials, and the future of gene editing.
The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...
At a potluck, you ate the best chocolate chip cookie—golden-brown, thick and chewy. Unfortunately, you don't know who made the cookie to get the recipe from, so you decide to recreate it. Using ...
In physical systems where errors carry tangible consequences, AI creates value through reliability and first-time-right performance.
Explore the latest innovations in steel-part fabrication that allow engineers to design ambitious structures without compromising deadlines or quality.
Abstract: This letter proposes a gain optimization design method for an interval observer (IO) of discrete linear time-invariant (LTI) systems. First, in order to describe the quality of interval ...
Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
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