This paper presents the design and development of a comprehensive standalone application for geotechnical engineering, built entirely using Python. Unlike conventional commercial platforms or ...

The increasing adoption of foundation models as agents across diverse domains necessitates a robust evaluation framework. Current methods, such as LLM-as-a-Judge, focus only on final outputs, ...

DeepMp is a deep learning model that identifies microproteins (5-100 amino acids) from protein sequences. The model combines CNN, Bi-GRU, and Attention mechanisms for accurate prediction. Hybrid ...

Deep tech startups in sectors such as space, semiconductors, and biotech take far longer to mature than conventional ventures. Because of that, India is adjusting its startup rules, and mobilizing ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Abstract: Embedding hardware design frameworks within Python is a promising technique to improve the productivity of hardware engineers. At the same time, there is significant interest in using ...

Section 1. Purpose. United States leadership in Artificial Intelligence (AI) will promote United States national and economic security and dominance across many domains. Pursuant to Executive Order ...

Reporter's notebook: House exodus threatens Johnson's grip on power as over 40 members head for exit 'The Abandons' is everything wrong with TV in 2025 A US aircraft carrier's hard turn to avoid enemy ...

LangChain's deepagents-CLI now supports Anthropic's agent skills, enhancing AI performance with dynamic skill folders. This move marks a significant advancement in AI task execution efficiency.