In dynamic Human-Robot Collaboration (HRC), the ability to perceive and predict human actions in real time is foundational to achieving seamless coordination. Whether ensuring safety in shared ...
The reliability of multiple sequence alignment (MSA) results directly determines the credibility of the conclusions drawn from biological research. However, MSA is inherently an NP-hard problem, ...
OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...
Despite Oracle's recent discussions with the White House, Perplexity AI -- a free AI-powered search engine -- remains dedicated to purchasing TikTok, having published its own vision for rebuilding the ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
The field of robotic manipulation has witnessed a remarkable transformation with the emergence of vision-language-action (VLA) models. These advanced computational frameworks have demonstrated ...
Abstract: Exact pairwise sequence alignment algorithms using dynamic programming require quadratic space and time, and this makes these algorithms impractical for large-scale sequences. In this paper, ...
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