This Repository contains a Compilation of Machine Learning and Deep Learning Problem Statements with Solutions and Full Scale Project, divided into week-wise modules for guiding and helping learners ...

Catalyst is a PyTorch framework for Deep Learning Research and Development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Abstract: Defect prediction is proposed to assist practitioners effectively prioritize limited Software Quality Assurance (SQA) resources on the most risky files that are likely to have post-release ...

Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...

The technology that was supposed to make human labour obsolete is, at this moment, more expensive than the humans it was ...

Claude AI Code and OpenAI Codex excel in different software development workflows. Learn when to use each AI coding agent and how combining Claude AI’s deep reasoning with Codex’s automation ...

LayerX found that BioShocking could trick AI browsers into leaking credentials by disguising malicious prompts as game rules. If you can only read one tech story a day, this is it. We use cookies and ...

Claude cannot think; it can only imitate. You must treat it like a fancy autocomplete and not like a programmer.

NVIDIA AI infrastructure bet collapses as Caffe creator Yangqing Jia quits after a broken open-source pledge. SemiAnalysis ...

When an agent does something, the whole company should learn from it, so that every developer gets access to the shared ...

Overview:  Infrastructure decisions become far more complex when managing hundreds of cloud resources across production ...