From “human-in-the loop” to human-centred design, a mindset shift that emphasises designing for users rather than simply using users to validate machine output.

Dive deep into the challenges of measuring and mitigating bias in machine learning models, the trade-offs between fairness metrics.

OpenAI could be developing chips for rollout in 2026. This isn't just supply chain diversification, but the end of open AI for all.

Discover gradient descent and its variants, including Adam optimizer. Learn how Adam simplifies machine learning optimization with efficiency and adaptability!

Explore the causes of GAN mode collapse, including catastrophic forgetting and discriminator overfitting, to enhance the diversity of AI-generated outputs.

Let's explore the world of ethical and legal web scraping, uncovering the new factors to consider in the age of AI.

HackerNoon's Startups of the Year 2024 Nominee, AI Verse transforms AI training with scalable synthetic image generation for industries worldwide.

The future of data isn't just about TransformerModels or BigDataTransformations - it's about their powerful integration!

Explore how automated scoring and ML-driven decisions shape small business lending, from cost optimization to navigating 'hard cuts' in credit approvals.

This section highlights the challenges of building a reliable text corpus for QAnon authorship analysis due to deleted accounts and limited archival data.