Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

AI World Models: What Are They And Why Should You Care

World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

‘State-of-the-art’ models can struggle with basic enterprise tasks: AI unicorn executive

Advanced AI can ace Olympiad maths yet falters in routine office tasks as enterprises turn to smaller models for everyday use ...

Why Structured Data May Be AI’s Next Enterprise Frontier

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data ...

Using the ocean to power data centers

The renewable energy company Panthalassa says it has a solution to the proliferation of AI data centers, which consume ...
The Manila Times

Cross-Modal Data Understanding Advances Through Bukun Ren’s Review of Visual Language Models

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By combining feature extraction, joint embedding, and advanced ...
Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Nature

AI models ‘subliminally’ transmit biases when training other systems

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
Unite.AI

The Critical Path to Automating Model Development

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

Frontier models are failing one in three production attempts — and getting harder to audit

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

Forecasting coasts may improve by combining AI, physics, and real-world data

Coastal landscapes are constantly being reshaped by natural forces, and as climate change causes more frequent storms and sea ...
Interesting Engineering on MSN

Breakthrough model helps robots learn unseen tasks, paves way for adaptive intelligence

A US robotics startup says its latest AI model can guide robots to perform ...