Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Embedded AI combines machine learning with edge devices for local, real-time intelligence.Courses range from beginner to advanced, covering TinyM ...

Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML ...

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

To thrive in an ever-evolving tech-driven world, tomorrow’s engineers must master a blend of technical expertise, ...

Following the success of LLMs, the AI industry is now evolving with multimodal systems. In 2023, the multimodal AI market ...

Reading the Communications March 2025 issue, it struck me how many articles assume large language models (LLMs) are the ...

Recent large language reasoning models of AI learn, recall and solve problems much in the way humans do,' writes an L.A.

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...