Vertebrate paleontology has a numbers problem. Computer vision can help

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...
Medscape

ChatGPT Excels at Classifying Ultraprocessed Foods

ChatGPT accurately classifies foods by processing level and detects ultraprocessed items, which may help automate and improve ...

Exploring electron microscopy and AI as key players for identifying pollen grains

Have you ever seen a hibiscus flower? Although its petals have a range of colors, what makes the trumpet-shaped flower more ...
IEEE

Recycle AId: Training an Artificial Intelligence Model Based on Computer Vision for Solid Waste Classification

Abstract: By 2030 and 2050, global solid waste generation is expected to reach 2.01 and 3.40 billion tons per year, respectively. Despite the continuous increase in solid waste production and growing ...
The Manila Times

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Redefining Deep Learning Across NLP, Image Classification and Beyond - Vision Transformers

Abstract: The self-attention technique was first used to develop transformers for natural language processing. The groundbreaking work “Attention Is All You Need” (2017) for Natural Language ...