The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

It might seem like an obvious move to deploy drones to help look for flood victims, but floods pose unique challenges that ...

The bias-variance trade-off is crucial for achieving an optimally performing supervised learning model. Bias is the difference between the average prediction of a model and the actual value. The model ...

A common AI fine-tuning practice could be unintentionally poisoning your models with hidden biases and risks, a new Anthropic study warns.

While Japan is renowned among mountaineers for its challenging mountain terrain, it is also known for its high number of ...

The bombardment of Gaza has left a toxic legacy of contaminated soil, blackened water and disease-spreading garbage that will last generations.

Every day millions of people ask ChatGPT and other AI chatbots for medical advice; but a new study finds that even the most ...

Data-driven algorithms can help planners make more informed decisions, but the technology comes with its own risks of error, ...

Before we dive in, here's the simple definition: ChatGPT is an artificial intelligence chatbot based on OpenAI's foundational GPT-4 large language model. It parses the user's natural-language prompts ...