Phi-4 proves that a 'data-first' SFT methodology is the new differentiator

The Phi-4 model was trained on just 1.4 million carefully chosen prompt-response pairs. Instead of brute force, the Microsoft ...

New computational tool helps scientists interpret complex single-cell data

Researchers from Turku Bioscience Center at the University of Turku, Finland, have developed a new computational method to ...
UnivDatos Market Insights

Spend Data Classification: From a Messy Spreadsheet to a Strategic Goldmine

Transform messy procurement data into clear, categorized insights with UnivDatos’ Spend Data Classification. Improve ...

Classification system for public data on the cards

Aimed at measuring sensitivity of non-personal data, the move may potentially open up a trove of public sector data—such as ...
Inside Higher Ed

Community College Leaders Ask Carnegie to Pull Its New Classification

Carnegie’s new Student Access and Earnings Classification has stirred up controversy among community college advocates.
IEEE

Addressing Missing Data in Machine Learning: A Comparative Insights on Imputation Techniques and Classification Accuracy

Abstract: Missing data presents a significant challenge in data analysis, affecting the quality of research outcomes. Real-world datasets often cover incomplete information due to various factors such ...
IEEE

Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method

Abstract: Graphs are essential for modeling complex relationships, analyzing networks, and offering versatile representations that capture diverse data structures. Graph Neural Networks (GNNs) excel ...
No Jitter

Data Management Affects AI and Security

AI rollout is slowing down because of data security concerns and inaccuracies in data output. However, organizations are also cautioning that the large amounts of data generated by AI are introducing ...