Large language models (LLM) and generative AI (genAI) are proving increasingly strategic for enterprises across all ...

The 3D framework is not just an enabler for engineering success—it's a roadmap for long-term business success.

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

This prompted us to create a context model ... we describe example challenges in BDSE, specifically requirements, architectures, and testing and maintenance. Published in: 2015 IEEE/ACM 1st ...

model, is evaluated in terms of how well it can be applied to 12 articles which have received "best paper" awards in the field of software engineering. The results indicate that, although the model ...

To date, most applications for industrial AI have been for predictive applications, such as for maintenance optimization or ...

Instead of solving Maxwell’s equations from scratch every time, imagine training a model to deeply understand the underlying ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Could you please briefly introduce yourself, your firm and your coverage? Mr. Vleeschhouwer: I’m with Griffin Securities. We are a small research and investment banking, advisory and research firm ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the ...

Enterprises should experiment with MCP where it adds value, isolate dependencies and prepare for a multi-protocol future.

Proximate analysis helps determine which types of municipal solid waste (MSW) are best for energy recovery. In Mbeya City, ...