Browsing: AI Tools

before LLMs became hyped, there was an almost visible line separating Machine Learning frameworks from Deep Learning frameworks. The talk…

arXiv:2511.13542v1 Announce Type: cross Abstract: Adaptive learning often diagnoses precisely yet intervenes weakly, producing help that is mistimed or misaligned.…

Introduction are among the most popular tools for explaining Machine Learning (ML) and Deep Learning (DL) models. However, for time-series…

[Submitted on 29 Oct 2024 (v1), last revised 15 Nov 2025 (this version, v3)] View a PDF of the paper…

[Submitted on 11 Nov 2025 (v1), last revised 15 Nov 2025 (this version, v2)] View a PDF of the paper…

Automatic plant leaf detection is a remarkable innovation in computer vision and machine learning, enabling the identification of plant species…

arXiv:2511.10788v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have made reasoning a central benchmark for evaluating…

are racing to use LLMs, but often for tasks they aren’t well-suited to. In fact, according to recent research by…

arXiv:2511.10853v1 Announce Type: new Abstract: Traffic collision reconstruction traditionally relies on human expertise, often yielding inconsistent results when analyzing incomplete…

you’ll stumble upon when doing AI engineering work is that there’s no real blueprint to follow. Yes, for the most…