Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
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 ...
Generative AI is a type of artificial intelligence designed to create new content by learning patterns from existing data.
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
AI Engineering focuses on building intelligent systems, while Data Science focuses on insights and predictionsBoth careers offer high salaries and ...
Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
Each parameterization method combined with structured data and structured data-only were compared for predicting intensive care unit transfer or death in the next 24 hours using deep recurrent neural ...
1 Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, United States 2 Department of Animal Sciences, Cornell University, Ithaca, NY, United States The lack of ...
Developed by UC San Diego with UNICEF and New Light Technologies, the tool helps Peru and Brazil anticipate dengue and malaria, plan resources and lay the groundwork for global expansion The Disease ...
Abstract: Recently, high-precision trajectory prediction of ballistic missile in the boost phase has become a research hotspot in missile defense system. This paper proposes a trajectory prediction ...
Abstract: Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs are pivotal for scalability and efficiency in high-performance computing (HPC), especially as ...