As costs of developing AI and the limited amount of available hardware, DeepSeek has presented a new plan for developing and ...

DeepSeek's proposed "mHC" architecture could transform the training of large language models (LLMs) - the technology behind ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...

Chinese artificial intelligence start-up DeepSeek has ushered in 2026 with a new technical paper, co-authored by founder ...

This project implements a conditional Generative Adversarial Network (cGAN) for automatic grayscale image colorization, inspired by Pix2Pix. The goal is to predict chrominance (ab channels in Lab ...

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This project uses computer vision to predict PSA (Professional Sports Authenticator) grades (1-10) for collectible cards by analyzing both front and back images. The model achieves 0.76 Quadratic ...

Beans are a legume that is widely grown and consumed globally, being the staple food for humans in developing countries. Nitrogen (N) is the most limiting nutrient for yield and foliar analysis is ...

Abstract: Deep learning models have become indispensable in medical image analysis, particularly for detecting and classifying ocular diseases. Automated diagnostic systems are promising to improve ...

Background: Brain metastases (BM), originating from extracranial malignancies, significantly threaten patient health. Accurate BM identification is crucial but labor-intensive manually. This study ...