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Until now, people with obesity have been making health decisions based on fundamentally flawed fitness tracker data.
Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...
Hunting for snakes of maximum length in hypercubes has been addressed with non-heuristic methods for hypercubes of dimension less than eight. Above that dimension the problem is intractable because ...
Publication Topics Path Planning,Actor Network,Actor-critic Algorithm,Ant Colony Optimization,Autonomic System,Autonomous Navigation,Computation Time,Critic Network,Cycle Time,Deep Learning,Deep ...
Change Minimization 📊: The fitness function for the genetic algorithm is based on minimizing the git diff --shortstat output (total insertions and deletions) after applying clang-format. Interactive ...
For many, fitness trackers have become indispensable tools for monitoring how many calories they've burned in a day. But for ...
For many, fitness trackers have become indispensable tools for monitoring how many calories they've burned in a day.
Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...
Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published ...
Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...
Submodular function optimisation has emerged as a cornerstone of contemporary algorithm design, offering a powerful framework to address a broad range of combinatorial problems characterised by ...
WASHINGTON - Whether it's recommending a workout based on your mood, adjusting your form in real time, or syncing with your ...