IEEE

Revolutionizing the Future of Automated Subjective Answer Sheet Evaluation System with Machine Learning and LLMs

Abstract: Human evaluation of handwritten answer sheets is very inefficient, inaccurate, and potentially biased. This research work serves the purpose of addressing these drawbacks by developing an ...
Nature

'Tiny' AI model beats massive LLMs at logic test

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
IEEE

MLXOps4Medic: A Service Framework for Machine Learning and Explainability Operations in Medical Imaging AI Development

Integrating AI models with the medical domain is challenging as it involves more complex workflows compared to traditional machine learning operations (MLOps). Requirements such as model performance ...
C&EN

Similarity Metric for Data Optimization and Efficient Training of Reactive Machine Learning Force Fields for Hydrocarbon Radiolysis

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California 94550, United States ...
EurekAlert!

Geophysical-machine learning tool for continuous subsurface geomaterials characterization

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
GitHub

C1_W3_Lab02: some thing wrong about the function: plt_one_addpt_onclick()

AttributeError Traceback (most recent call last) Cell In[4], [line 4](vscode-notebook-cell:?execution_count=4&line=4) 2 b_in = 0 3 plt.close('all') ----> [4]addpt ...