This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake ...
This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...
The 1980s were vested in exploring the use of vanadium species in flow batteries. Sum et al. (1985a; 1985b) investigated the use of vanadium (II), (III), (IV), and (V) in ...
Morning Overview on MSN
LLMs have tons of parameters, but what is a parameter?
Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Fast Lane Only on MSN
How F1 aerodynamicists chase milliseconds through constant updates
Formula 1 teams live in a world where a single misjudged flick of carbon fiber can decide a championship. Aerodynamicists are tasked with turning turbulent air into lap time, and they do it not ...
Scientists have discovered a genetic process which could unlock new ways to treat a mysterious and deadly fungal infection which has shut down multiple hospital intensive care units. Candida auris is ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and specialize in the body. The study, which has been published in the journal PNAS, ...
Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...
Abstract: This paper investigates the optimization of production process decisions based on nonlinear programming and particle swarm optimization genetic algorithm. Initially, a quality level sampling ...
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