MicroCloud Hologram Inc. Proposes Quantum AI Simulator Adopting Hybrid CPU-FPGA Method, Achieving Efficient Image Classification Simulation Through Heterogeneous Computing

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

Hands-On With Nano Banana 2, the Latest Version of Google’s AI Image Generator

Google’s latest image model, Nano Banana 2, is a powerful AI photo editor that punctures reality. Well, sometimes.

Developing personalized vaccines for cancer via machine learning

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...
IEEE

Spine Image Reconstruction and Lesion Classification Based on Transfer Learning and Quantum Convolutional Neural Network

Abstract: Spine CT image reconstruction and lesion classification are crucial in diagnosing spine disorders, supporting treatment through automated lesion detection. Leveraging advancements in machine ...

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 ...
News-Medical.Net

Gut bacteria patterns help predict insulin resistance in type 2 diabetes, study finds

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...

Co-founders behind Reface and Prisma join hands to improve on-device model inference with Mirai

Companies like Apple and Qualcomm are in the early stages of making on-device AI more useful. Amid all that, the 14-person ...
IEEE

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

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

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...