Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Embedr is an AI-powered Arduino-like IDE designed to simplify development for Arduino-compatible microcontrollers. It looks very similar to the Cursor code editor and uses Microsoft’s Monaco Editor ...

Fan et al. (2023) developed a deep-learning-based seedling weed detection and on-target spraying robotic system for cotton fields, which is capable of field weed detection and herbicide spraying, ...

Arduino is partnering with chip startup Axelera to bring machine learning out of the cloud and into IoT devices based on its Pro hardware.

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...

If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...

The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used ...