Coding After Coders: The End of Computer Programming as We Know It

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...
IEEE

EfficientNetB0: Comparing Transfer Learning and Scratch Training on Benchmark Datasets

Abstract: This paper presents a comparative analysis of EfficientNetB0 models trained using transfer learning and from scratch, evaluated across three benchmark datasets: CIFAR-10, MNIST Digit, and ...
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 ...
blockchain

MicroGPT by Karpathy: Minimal GPT From-Scratch Guide and Code (2026 Analysis)

At its core, microGPT is designed to train and run GPT-2 style models with just a few hundred lines of code, emphasizing simplicity and efficiency. This development comes at a time when the AI market ...