The risks of executing untrusted Python code range from introducing vulnerabilities to compromising sensitive data. Yet, as AI agents grow more sophisticated, their reliance on dynamic code ...

The instructor uses the Anaconda distribution of Python and writes code in Jupyter Notebook. She doesn’t skip over any of the building blocks of the language and her lessons are nicely paced and ...

Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing ...

SimilariPy is primarily designed for Recommender Systems and Information Retrieval (IR) tasks, but can be applied to other domains as well. The package also includes a set of normalization functions ...

Results: A user study indicates that this method can detect AI-generated code with over 96% accuracy. Discussion: The analysis of results shows that pseudo-AI submissions created using AI tools do not ...

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the Multicloud The Future of the Internet ...

Moreover, two type of pseudo noise codes for DCSK/CDM were considered; generalized modified prime sequence code (GMPSC) and Hadamard code with on-off signaling (HC). In particular, DCSK/CDM with HC ...