A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Saurabh Misra work spans machine learning, large-scale systems, and software performance, with a consistent focus on building faster, more efficient, and more sustainable technology.

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Chinese AI startup’s release is a major update to its open-source model series, aimed at multi-language programming and ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...