Artificial intelligence, machine learning, and deep learning guides
25 articles
While PyTorch dominates research and hype, TensorFlow has become the entrenched enterprise standard - the COBOL of machine learning. Understanding this reality gap is crucial for navigating ML careers in 2026.
The panic about traditional ML being 'dead' misses a crucial point: fundamentals matter more than ever in 2026's AI landscape. We explore why your mathematical foundation isn't wasted and how to adapt your skills for today's job market.
Pulp Fiction co-writer Roger Avary reveals how AI technology enabled him to move three stalled projects into production after years of traditional Hollywood rejection. This deep dive explores the real-world implications of AI for independent creators.
The xkcd machine learning comic that went viral on Reddit captures a fundamental truth about AI development. In 2026, we explore why this comic remains painfully accurate and what it teaches us about building real-world ML systems.
A European PhD graduate with 10 publications at top ML venues like NeurIPS and ICML can't land interviews at big tech companies. This article explores the widening gap between academic excellence and industry hiring signals in 2026.
TensorTonic has been called "LeetCode for machine learning" across ML communities. After extensive testing, we explore whether this platform's unique approach to ML education through problem-solving and visualization actually delivers on its promises for 2026 learners.
In early 2026, the acting director of CISA accidentally uploaded sensitive cybersecurity files to a public version of ChatGPT, triggering a DHS damage assessment. This incident reveals critical vulnerabilities in how organizations handle AI tools with sensitive data.
An uncomfortable truth has emerged in AI research: senior researchers increasingly prioritize publications over mentorship, creating a systemic crisis that affects everything from conference quality to early-career development. This article explores the causes, consequences, and potential solutions.
TensorTonic has emerged as a groundbreaking platform for machine learning practitioners, offering hands-on implementation of 100+ algorithms from scratch. We explore whether it truly serves as the 'LeetCode for ML' and how it's changing how developers learn in 2026.
City2Graph is a Python library that simplifies converting geospatial datasets into graph representations for Graph Neural Networks. This guide explores its capabilities, practical applications, and how it bridges the gap between traditional GIS tools and modern machine learning frameworks.
The BBC's recent report reveals a surprising trend: Chinese open-source AI models are consistently outperforming their closed, proprietary counterparts from US tech giants. This isn't just about benchmarks—it's reshaping global AI development, accessibility, and innovation in ways few predicted.
When the White House posted a digitally altered image of an arrested protester in 2026, it sparked a crisis in AI ethics and digital authenticity. This analysis explores what happened, why it matters, and how we can navigate the new reality of synthetic media.