Key takeaways Developers can now write code for dApps and create complex and straightforward smart contracts using Linux architecture on Cartesi. This feature inducts conventional programmers into the ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

This requires the use of certain Python libraries, some of which are already built ... the FORECAST function feels the closest to actual magic because it's as if it's predicting the future. Of course, ...

Weather prediction systems provide critical information about dangerous storms, deadly heatwaves and potential droughts, ...

Crypto day traders are using AI tools like Grok and ChatGPT to build automated bots that execute trades and manage risk.

Terraform is no longer the default choice for Infrastructure as Code. What was once the go-to tool for managing cloud ...

Amid all the hype around prediction markets and gaming industry concerns about the future leadership of the CFTC, Polymarket ...

Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

ChatGPT-style models are being trained to detect what a news article really thinks about an issue – even when that stance is ...