Why T-shaped knowledge is becoming more important than ever in the age of AI

AI tools are fundamentally changing software development. Investing in foundational knowledge and deep expertise secures your ...
IEEE

Machine Learning Approaches to Code Similarity Measurement: A Systematic Review

Abstract: Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These ...
InfoQ

Are You Missing a Data Frame? The Power of Data Frames in Java

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
GitHub

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

Welcome to the official codebase for Franca (pronounced Fran-ka), the first fully open-source vision foundation model—including data, code, and pretrained weights. Franca matches or surpasses the ...
GitHub

Increasing the Scope as You Learn: BAxUS

💡 NOTE: If you're interested in BAxUS, please consider using Bounce, which comes with an improved trust region management policy, an easier setup, and batch parallelism. benchmark_runner.py -id 100 ...
IEEE

Multilayer Nested Learning Optimization-Based Coordinated Control for Biped Reconfigurable Robots Under Walking Task Constraints

Abstract: This article presents an online neuro-dynamic programming (NDP)-based optimal coordinated control method of biped reconfigurable robots (BRRs) under multilayer nested learning structure.
techtimes

Why AI Performs Worst Where Enterprises Need It Most and What Leaders Can Learn from Code Health Research

AI investment across enterprises is accelerating, but the pressure to demonstrate real business returns is intensifying just as quickly. For many leadership teams, the challenge is no longer whether ...