This research investigates the potential of deep learning in accurately identifying diseases in potato leaves, a critical aspect in enhancing agricultural productivity and sustainability. The study introduces a novel convolutional neural network (CNN) model, distinguished by its reduced complexity and ...
from theFacebook AI Research (FAIR) lab, releasedpre-trained vectors in 294 languages, which represents a great work and contribution to our community. Besides the wide number of languages, this is very useful because fastText uses character n-grams as features...
Last year, I wrote aboutthe importance of word embeddings in NLPand the conviction that it was a research topic that was going to get more attention in the near future. Anyone who has utilized word embeddings knows that once the initial excitement of checking via compositionality (i.e. King...
Predicting semantic features from CT images of liver lesions using deep learning Driven by the technological advancements in imaging, the usage of medical imaging data is also increasing in research as well as in the clinical setting an... V Agarwal,D Odgers⇤ 被引量: 0发表: 0年 Part 1:...
power of data, adult learning theory and artificial intelligence to better meet the needs of veterinary professionals, providing valuable learning when time is limited. Through in-depth extensive research,Royal Caninhas been able to gain deep insights into future needs to he...
This survey covers the emerging role of deep learning in the area of NLP, across a broad range of categories.The research presented in [18] is primarily focused on architectures,with little discussion of applications.On the other hand, this paper describes the challenges,opportunities, and evaluat...
autonomous AI agents that learn new tasks faster, and neural networks that calculate complex physics,” said Jan Kautz, vice president of learning and perception research at NVIDIA. “These projects, often done in collaboration with leading minds in academia, will help accelerate developers of virtua...
Almahasneh H, Chooi WT, Kamel N et al (2014) Deep in thought while driving: An eeg study on drivers’ cognitive distraction. Transportation research part F: traffic psychology and behaviour 26:218–226 Ameyoe A, Mars F, Chevrel P et al (2015) Estimation of driver distraction using the ...
This research demonstrates how XRI could effectively monitor the dynamic development of porosity in materials (such as Ti-6Al-4V) enhanced with foaming agents like titanium hydride (TiH2) and sodium carbonate (Na2CO3). The study revealed that the average pore size and distribution could be ...
TheInternational Conference on Machine Learning (ICML 2023)serves as a global platform where researchers, academics, and industry professionals gather to share their pioneering work and advancements in the field of machine learning. As a supporter of machine learning research, Microso...