By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...

DeepSeek’s proposed ‘mHC’ design could change how AI models are trained, but experts caution it still needs to prove itself ...

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

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.

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 ...

Abstract: Lung and colon cancers are among the leading causes of cancer-related deaths worldwide. Early detection significantly enhances survival rates, but traditional diagnostic methods, which rely ...