IEEE

Pineapples Health Detection Using Deep Learning Models

Abstract: Early detection of diseases in agricultural crops remains a significant challenge, especially for small producers who still rely on manual visual inspections—time-consuming, subjective ...
IEEE

A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data

Abstract: Traditional self-report personality assessments, such as detecting Big Five personality traits through the NEO-Five-Factor-Inventory, are personnel-, time- and cost-intensive approaches that ...
Harvard Business Review

AI Doesn’t Reduce Work—It Intensifies It

Right now, many companies are worried about how to get more employees to use AI. After all, the promise of AI reducing the burden of some work—drafting routine documents, summarizing information, and ...
marktechpost

NVIDIA AI Release VibeTensor: An AI Generated Deep Learning Runtime Built End to End by Coding Agents Programmatically

NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents under high-level human guidance. The system asks a ...
Nature

Weather Recognition Using Deep Learning Techniques

Recent advancements in deep learning have significantly transformed weather recognition, enabling more accurate and real‐time interpretation of meteorological conditions from visual data. Techniques ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...