One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

President Donald Trump signed an executive order issuing a single regulation framework for artificial intelligence. Alongside the president for signing were David Sacks, the White House AI and crypto ...

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

What if your laptop could grow with you, evolve to meet your needs, and stay relevant for years to come? The Framework Laptop 16 is here to challenge the status quo of disposable tech, offering a bold ...

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS). Attack vector: More severe the more the remote (logically and ...

Visual reasoning tasks challenge artificial intelligence models to interpret and process visual information using both perception and logical reasoning. These tasks span a wide range of applications, ...

Abstract: Python's dynamic typing system offers flexibility and expressiveness but can lead to type-related errors, prompting the need for automated type inference to enhance type hinting. While ...

A fundamental challenge in the rapid development of BCI systems is the absence of comprehensive software solutions specifically tailored for advancing cognitive neuroscience experiments. Existing BCI ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Abstract: Deep Multi-View Clustering (MVC) methods partition multi-view data into disjoint clusters in an unsupervised manner, showing significant promise across various domains. However, current MVC ...