A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental capacity and probability density methods, it improves ...

We will cover an overview of Claude API's capabilities, content marketing automation strategies, implementation case studies, technical aspects of integration, and ethical considerations.

Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, caused by proliferation of residual lens epithelial cells (LECs). Metformin, a ...

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

AI models still lose track of who is who and what's happening in a movie. A new system orchestrates face recognition and staged summarization, keeping characters straight, and plots coherent across ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Small marketing teams across the UK are under pressure to adopt AI tools quickly, but rushing into implementation without a plan creates more problems than it solves. A practical, phased approach to ...

In January 2022, Politico published an article about a nonprofit called Crisis Text Line, which offers support via text messages for people who are going through mental health crises. For years, the ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...