Category: Machine Learning

Sign up now and see the future Don’t miss innovations from the cutting edge of science and technology Back in 2017, China’s State Council released the first draft of its long-term AI strategy in a comprehensive policy document. The report declares that by 2030, China needs to develop its “AI industry competitiveness” to “world-leading levels”, […]

to evidential deep learning (EDL), a framework for one-shot quantification of epistemic and aleatoric uncertainty. More specifically, we will focus on a subset: deep evidential regression (DER) as published in Amini et al. 2020. Don’t worry if these words are confusing, we will walk through them shortly. This article assumes some prior experience with machine […]

This study followed the Cross Industry Standard Process for Data Mining (CRISP-DM) as the main framework for project development. CRISP-DM is a well-structured methodology that has been widely used since the 1990s in both Knowledge Discovery in Databases (KDD) and modern data science projects23. Its popularity comes from its simplicity, repeatability, and effectiveness in guiding […]

Fig. 2 The alternative text for this image may have been generated using AI. L-shaped MA design representations47; (a) Three-dimensional perspective view and (b) Two-dimensional cross section. To validate the effectiveness of the proposed optimization algorithm, the structure previously fabricated and reported in Ref.  47 is selected for initial evaluation. The reported MA is composed […]

Raia Hadsell, VP of Research at Google DeepMind, recently took to the stage at AI Engineer Europe to discuss the evolving frontier of artificial intelligence and its impact on the future of intelligence itself. Hadsell, who has dedicated more than 13 years to bridging academia and industry in AI and is also a UK AI […]

Artificial intelligence increases the accessibility of learning. [Courtesy] You don’t have to be a cynic to question who wrote this. He is not a doubting Thomas, nor is he a jealous person who feels envy when he sees brilliance coming from places that are not his own. Because by the time you finish reading this […]

Introduced as a technology preview in late 2025, Tech Soft 3D has officially launched its HOOPS AI framework, aimed at integrating CAD data into machine learning (ML) pipelines. The product is now generally available based on a successful beta program with over 30 companies. This announcement addresses a problem that has long been a complex […]

Evaluation metrics To assess the performance of deep learning models for malaria parasite classification, several well-established evaluation metrics were employed. These include accuracy, precision, recall, F1-score, and AUC-ROC. Additionally, confusion matrix analysis was used to interpret classification results visually and quantitatively. Accuracy is the most intuitive metric, representing the proportion of correctly classified samples to […]

The proposed farmwork based on MSViT optimized with CPSO-SQP is examined on enhanced RCD (ERCD) for classification of seven endodontic diseases. Each disease class like VA, HD, IR, DAI, DWAI, NA and NWA have 250,220,230,300,200,220 and 280 images, respectively. However, the total number of images in ERCD are 1700. The training to testing ratio is […]

Study area The Najafabad Plain, located in Isfahan Province in central Iran, is a key agricultural region within the Zayandeh Rud Basin. It spans approximately 1,712 km², comprising a central alluvial aquifer of about 940.9 km², with the remaining 772.5 km² consisting of surrounding highlands. Geographically, the plain lies between longitudes 50°57′ and 51°44′26″ E and latitudes 32°20′13″ […]