Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect ...
Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Objective: To construct and validate a nomogram prediction model for anxiety and depression in chemotherapy patients with multiple myeloma (MM). Methods: From May 2021 to May 2023, 333 MM chemotherapy ...
Abstract: Software Defect Prediction improves the software's stability and ensures the testing process is streamlined by pointing out issues in code. Software developers can manage and use their ...
Abstract: Topological indices (TIs) are valuable tools in the study of blood cancer drugs, offering insights into molecular structure and associated properties critical for assessing efficacy and ...
From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results