Super Bowl ads want you to stop worrying and learn to love AI

If there was an overriding message throughout the Super Bowl ads last night, it’s that artificial intelligence is your friend.
IEEE

A Novel Alzheimer’s Disease Classification Framework Integrating 3D CNN With Bidirectional Feature Pyramid Network and Vision Transformers

Abstract: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that severely affects memory and cognitive function, underscoring the need for accurate and early diagnostic tools. Deep ...
IEEE

State-of-the-Art Review of Deep Learning-based Computer Vision Waste Detection: R-CNN, YOLO, Transformers, and Hybrid Models

Abstract: Effective waste detection remains a pressing challenge due to the variability, clutter, and inconsistent visual characteristics of waste environments. This state-of-the-art review rigorously ...
Yahoo

CNN Boss Confronted by Staff Over MAGA Pundit’s On-Air Behavior

Add Yahoo as a preferred source to see more of our stories on Google. CNN boss Mark Thompson was pressed by staff about why the network has not reined in MAGA mouthpiece Scott Jennings’ on-air ...
IEEE

HyTran-CottonNet: A Hybrid Vision Transformer-CNN Architecture with Cross-Disease Attention for Robust Cotton Leaf Disease and Severity Classification

Abstract: Cotton crops are highly vulnerable to multiple leaf diseases, many of which exhibit cooccurring symptoms and varying severity levels-posing a significant challenge for accurate diagnosis in ...
IEEE

LFormer: A Lightweight CNN-Transformer Hybrid Network for Efficient Vision Tasks

Abstract: Lightweight models frequently face a difficult trade-off between parameter budget and performance. To address this issue, we proposed LFormer, a compact CNN-Transformer hybrid network that ...
The New York Times

How Computer Warfare Is Becoming Part of the Pentagon’s Arsenal

The military tested a new approach in Venezuela and during strikes on Iranian nuclear facilities. By Julian E. Barnes and Adam Sella Reporting from Washington The United States used cyberweapons in ...
IEEE

Impact of Pre-Training Dataset Selection on the Detection Performance of CNN-Based Vision Models for Safe UAS Package Delivery

Abstract: The landing phase is a safety-critical time period of autonomous unmanned aerial system (UAS) package delivery operations. Accurate detection of landing zones and nearby obstacles (e.g., ...
IEEE

Fusion of Multi Model Vision Transformers Features with Pre-Trained CNN Classifiers for Enhanced Brain Tumor Diagnosis

Abstract: Brain tumors are deadly diseases that are defined by abnormal and uncontrolled cell growth. These tumors are highly malignant and lethal. Thus, a precise diagnosis is necessary for effective ...
IEEE

Dual-Filter Based Deepfake Detection Using CNN and Vision Transformer

Abstract: This study introduces a novel deepfake detection framework that leverages Laplacian and Hessian image filters as a dual-channel input, shifting the focus from raw RGB pixels to structural ...