Bulletin of the Atomic ScientistsOpinion

Division begets division in the age of algorithmic classification

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...
Vietnam Investment Review

WiMi researches hybrid quantum-classical learning for multi-class image classification

WiMi Hologram Cloud is studying a hybrid quantum-classical learning architecture for advanced multi-class image classification applications in artificial intelligence research worldwide.
TMCnet

WiMi Studies Hybrid Quantum-Classical Learning Architecture for Multi-Class Image Classification

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
Physics World

Generative AI model detects blood cell abnormalities

The CytoDiffusion classifier analyses the shape and structure of blood cells to detect abnormalities that may indicate blood ...
ExecutiveGov

Navy Awards JWCC Task Orders to Google, Oracle for Cloud Capabilities

Google and Oracle will provide the Navy access to cloud landing zones and advanced tools, such as generative AI.
XDA Developers on MSN

It's easy to train your own image classification model with an ESP32, and I did it in five minutes

Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...
Devdiscourse

Online sentiment toward ChatGPT shows strong wave of skepticism

The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
IEEE

Distributed Multi-Task In-Network Classification on Programmable Switches by Ensemble Models

Abstract: Offloading machine learning models for network classification on high-throughput programmable switches is a promising technology, enabling line-speed in-network classification. Existing ...
UroToday

Epithelial-mesenchymal transition classification based on machine learning for predicting prognosis and treatment response in clear cell renal cell carcinoma.

Renal cell carcinoma (RCC) is the third most common cancer in the genitourinary system. However, factors such as postoperative metastasis, recurrence, and advanced inoperable conditions contribute to ...
C&EN

Integrating Non-Targeted Mass Spectrometry and Machine Learning for the Classification of Organic and Conventionally Grown Agricultural Products: A Case Study on Tomatoes

State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China Sino-Danish Center for Education ...