Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

Are Students Ready? Instructure Rethinking Readiness For The AI Future

Instructure’s Melissa Loble explains why readiness beats buzzwords, and how AI, tech fluency, and safe failure can prepare ...
IEEE

Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework

Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...
IEEE

A Custom Reinforcement Learning Environment for Hybrid Renewable Energy Systems: Design and Implementation

Abstract: We present HybridEnergyEnv, an open-source, Gym-style simulation environment designed for reinforcement learning (RL) research in hybrid renewable energy systems (HRES) combining wind, solar ...