Section 101 eligibility remains one of the most unpredictable and frequently contested areas of U.S. patent practice, particularly for ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

A Michigan-based deliberative study found strong public support for patient-informed artificial intelligence (AI) labeling in health care, emphasizing transparency, privacy, equity, and safety to ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

The Security Think Tank considers what CISOs and buyers need to know to cut through the noise around AI and figure out which AI cyber use cases are worth a look, and which are just hype.

Abstract: Automated embryo quality prediction remains a critical challenge in Assisted Reproductive Technology (ART) due to the subjective nature of manual grading and the lack of methods that ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

For any company using software, there is often a difficult balance between patching systems as quickly as possible to prevent cyberattacks while also making sure the updates don’t break how those ...

Nanosensors and Clean Energy Laboratory, Department of Chemistry & Nanoscience and Technology, PSG Institute of Advanced Studies, Coimbatore 641004, India Nanosensors and Clean Energy Laboratory, ...

Abstract: The performance of Machine Learning (ML) models is highly sensitive to data quality, still the impact of label accuracy remains underexplored. In this study, a novel architecture, the Dual ...

These example notebooks are automatically loaded into SageMaker Notebook Instances. They can be accessed by clicking on the SageMaker Examples tab in Jupyter or the SageMaker logo in JupyterLab.