Rate my AI teacher? Students’ perceptions of chatbots will influence how they learn with AI

What people think of their teachers is tremendously important for learning, and should inform how we analyze the potential ...
Communications of the ACM

When Images Fool AI Models

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...
Unite.AI

DINOv3 and the Future of Computer Vision: Self-Supervised Learning at Scale

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...
eLife

Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning

This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...
IEEE

Open Set Cross-Domain Hyperspectral Image Classification Based on Critical Reflective Learning Network

Abstract: Limited by the lack of supervisory information of unknown classes, the existing open set cross-domain hyperspectral image (HSI) classification methods often rely on threshold-based methods ...
IEEE

Diffusion-Augmented Cross-Domain Prototypical Knowledge Distillation for Few-Shot Learning in Hyperspectral Image Classification

Abstract: Cross-domain few-shot learning (CDFSL) has demonstrated remarkable new class recognition capabilities in hyperspectral image classification (HSIC) tasks. However, existing domain adaptation ...
The New York Times

Harvard Says Many of Its Foreign Students Are Seeking to Transfer

The Trump administration is trying to block Harvard from enrolling international students. A Harvard official said the move is already creating major disruptions. By Vimal Patel The Trump ...
Frontiers

Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification

Introduction: Breast cancer (BC) is a malignant neoplasm that originates in the mammary gland’s cellular structures and remains one of the most prevalent cancers among women, ranking second in ...
AOL

The Definition of Transfer learning

Transfer learning is a machine learning technique that allows a model trained on one task to be repurposed or fine-tuned for a related task, drastically reducing the amount of data and computational ...