New research reveals why even state-of-the-art large language models stumble on seemingly easy tasksâand what it takes to fix ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
By studying tiny distortions in the shapes of distant galaxies, scientists mapped dark matter and dark energy across one of the largest sky surveys ever assembled. Their results back the standard ...
Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
Introduction: Recent advances in 3D structure-based deep learning approaches demonstrate improved accuracy in predicting protein-ligand binding affinity in drug discovery. These methods complement ...
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...
Abstract: Dynamic wireless charging (DWC) of electric vehicles (EVs) is an attractive solution to the EV driving range limitations and the associated range anxiety problem. In DWC, charging lanes are ...
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