Top news of the week: 20.09.2023.
Artificial Intelligence (AI) Utilizing Deep Learning Techniques to Enhance ADAS
Deep learning enhances ADAS with real-time sensor data for precise object detection, collision prediction, and proactive decision-making.
Sample-efficient multi-agent reinforcement learning with masked reconstruction
Deep reinforcement learning (DRL) is a powerful approach that combines reinforcement learning (RL) and deep learning to address complex decision-making problems in high-dimensional ...
Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT
Objectives The aim of the study is 18F-FDG PET/CT imaging by using deep learning method are predictive for pathological complete response pCR after Neoadjuvant chemotherapy (NAC) in locally ...
Images of simulated cities help artificial intelligence to understand real streetscapes
Recent advances in artificial intelligence and deep learning have revolutionized many industries, and might soon help recreate your neighborhood as well. Given images of a landscape, the ...
9 free AI tools that run locally on your PC
These clever AI tools can have a big impact by using elaborate models to tackle demanding tasks. The nine programs presented here have something in common besides AI: they are freely ...
Image generation technology for functional occlusal pits and fissures based on a conditional generative adversarial network
The occlusal surfaces of natural teeth have complex features of functional pits and fissures. These morphological features directly affect the occlusal state of the upper and lower teeth. ...
5 AI trends to look forward to in 2023 and beyond
Some have projected AI’s contribution to the global economy to rise to $15.7 trillion by 2030.
Large Language Models (LLMs) to train artificial intelligence (AI) tools such as ChatGPT
Learn about Large Language Models (LLMs) and how they are used to train artificial intelligence (AI) tools such as ChatGPT.