Diffractive networks enable optical information transfer through random and unknown diffusers

The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...

Ripping Up The Enterprise Playbook: How To Realize AI Value At Scale

For GenAI decisioning systems to deliver sustained return on investment (ROI), they must be effective, trustworthy and fully ...
InfoWorld

How to improve the memory of AI agents

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
GitHub

Big Transfer (BiT): General Visual Representation Learning

Update 18/06/2021: We release new high performing BiT-R50x1 models, which were distilled from BiT-M-R152x2, see this section. More details in our paper "Knowledge distillation: A good teacher is ...
IEEE

A Deep Learning Approach to Ancient Egyptian Hieroglyphs Classification

Abstract: Nowadays, advances in Artificial Intelligence (AI), especially in machine and deep learning, present new opportunities to build tools that support the work of specialists in areas apparently ...
Hacker

How I Made Object Detection Smarter for Self-Driving Cars With Transfer Learning & ASPP

Self-driving cars can’t afford mistakes. Missing a traffic light or a pedestrian could mean disaster. But object detection in dynamic urban environments? That’s hard. I worked on optimizing object ...
GitHub

Breast Cancer Detection in Mammograms Using Deep Learning Techniques

I have been working since the end of my Master's in 2020 to publish this dissertation in journal. As of May 2023, this research is published in PLOS ONE, and can be ...
Frontiers

Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds

Quality of life is greatly affected by chronic wounds. It requires more intensive care than acute wounds. Schedule follow-up appointments with their doctor to track healing. Good wound treatment ...