Dan Herbatschek Leads New Initiative in New York and Los Angeles to Advance Transparency and Interpretability in Machine Learning

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.
InfoQ

Aspire 13 Delivers Multi-Language Support and Significant Enhancements Across the Platform

Aspire 13 has been released as a major milestone in the platform's evolution. As reported by the team, Aspire is no longer branded as “.NET Aspire” and is now positioned as a full polyglot application ...
Analytics Insight

Best Python ETL Tools for Learning in 2025

Overview:  Python ETL is not just for experts. The right tools can make data work simple, even for beginners.Learning one or ...
InfoQ

Google Launches Agent Development Kit for Go

Google has added support for the Go language to its Agent Development Kit (ADK), enabling Go developers to build and manage ...
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...

What are the Skills Required for a Career in Data Science?

Discover the essential skills required for a successful career in data science. Check out technical skills like programming, ...
IEEE

Graph Representation Learning for Infrared and Visible Image Fusion

Abstract: Infrared and visible image fusion aims to extract complementary features to synthesize a single fused image. In our method, we covert the regular image format into the graph space and ...