A curated, production-grade collection of 100 AI, Machine Learning, and Deep Learning projects — refined over a decade of hands-on experience across research, industry, and open-source development.

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 ...

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

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

As Europe pursues AI sovereignty, the PyTorch Foundation believes the continent's greatest strength lies not just in building ...

Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...

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

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

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

As such, Odysseus is geared towards self-hosting your own AI models as well, ensuring that absolutely no data leaves your ...