Sharing data sets for training AI large language models (LLMs) is a particularly powerful and yet sensitive issue. Imagine ...

Providers are breaking down data silos and improving interoperability to open up pathways for critical insights.

Google’s AlphaGeometry2 AI reaches the level of gold-medal students in the International Mathematical Olympiad ...

From enhanced physical security to streamlined traffic management, large vision models have the potential to improve public ...

The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Aerospike is unveiling the latest iteration of its flagship multi-model distributed database, redefining what's possible with strict serializability. Aerospike 8 adds support for distributed ACID ...

The floodgates have opened for building AI reasoning models on the cheap. Researchers at Stanford and the University of Washington have developed a model that performs comparably to OpenAI o1 and ...

Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My August 2024 column, “The Shift from Syntactic to ...

Researchers develop machine learning tools that screen for co-morbid anxiety disorders and major depressive disorder using acoustic voice signals. The team spoke to participants with and without ...

With AI creating a need for knowledge engineering, information science (as we used to call it) has come full circle. It comes ...

Large language models like ChatGPT display conversational skills, but the problem is they don’t really understand the words ...