Research & Knowledge Hub
2,243+ research articles, technical guides, and in-depth analyses authored by council members and industry experts.
Articles - Page 65
2,243 articles
Are World Models the Future of AI?
The AI industry has entered another turning point. After two years of being dominated by language models like GPT-5, Claude, and Gemini, a new conversation is rising: what if the future of intelligence isn’t about words at all, but about worlds? That’s the question sparked by two events making…
GPT 5.1
OpenAI has introduced GPT 5.1 as part of a staged rollout that first reached ChatGPT Plus, Pro, Go, Business, and Enterprise users. Free users will gain access once the release settles. This update arrives at a time when many people have asked for safer, clearer, and more reliable model behavior.…
Who Should Govern Artificial Intelligence?
Who should govern artificial intelligence? Compare the strongest arguments for governments, international bodies, AI companies, standards groups, civil society, and courts, with a 2026 snapshot of EU, US, state, Asian, and UN approaches.
zSpace, Inc. Introduces a New AR/VR Laptop
zSpace, Inc. has unveiled the Inspire 2 Laptop, a groundbreaking system that blends augmented and virtual reality with artificial Intelligence to create a truly immersive educational experience. Unlike traditional VR setups, this device eliminates the need for headsets or external glasses, making…
Agoda AI Developer Report 2025
Agoda’s AI Developer Report 2025 delivers one of the most detailed assessments yet of how artificial Intelligence is transforming software engineering across Southeast Asia and India. The findings show that AI has moved far beyond the experimental phase to become an essential tool for modern…
Wharton Study Finds Most Companies Profit from AI
For months, the conversation around artificial Intelligence has been split in two. On one side are the skeptics claiming AI is a bubble waiting to burst. On the other are the believers pointing to billion-dollar valuations and enterprise adoption. But according to a new study from the Wharton…
What Is Tabular Deep Learning?
Learn what tabular deep learning is, how it works, how it compares with XGBoost, and when neural networks and models like TabPFN make sense for table data.
What Is Causal Inference in Data Science?
Causal inference is the process of figuring out if one thing actually causes another, not just whether they are linked. It helps data scientists move beyond correlation and answer the question, “What will happen if we change something?” This concept is essential for making smarter…
What Is Data Drift in Machine Learning?
Data drift is when the data used by a machine learning model changes over time, causing the model’s performance to decline. These changes can happen gradually or suddenly and often go unnoticed until accuracy drops. Understanding data drift is essential for anyone deploying models in the real…
What Is Active Learning in AI?
Active Learning is a machine learning technique where models ask for labels only on the data they are most uncertain about. Instead of labeling everything, this method helps teams focus effort where it matters most. The result is higher accuracy with fewer labeled examples. This approach is…
What Is Data Centric AI?
Data Centric AI is the practice of improving data quality to get better AI results. Instead of focusing only on models, this approach fixes messy labels, fills missing data, and balances datasets. The goal is to make the data more accurate, so even simple models can perform well. This concept is…
Is Vibe Coding Dead?
When Google DeepMind’s Amar, Product and Design Lead, introduced Gemini’s new Vibe Coding experience in AI Studio, it felt like the beginning of something extraordinary. The promise was simple yet powerful. Describe your app idea, and Gemini would automatically connect the right models and APIs to…