ancora Software and New Arc Solutions Partner to Deliver AP Automation for Microsoft Dynamics 365 F&SCM Customers

“New Arc Solutions brings deep expertise in Microsoft Dynamics 365 F&SCM implementations,” said Nick Bova, VP of Sales & Marketing at ancora Software. “Together, we’re enabling Dynamics customers to ...
IEEE

Forest Tree Species Classification Based on Deep Ensemble Learning by Fusing High-Resolution, Multitemporal, and Hyperspectral Multisource Remote Sensing Data

Abstract: Forest tree species classification has great significance for sustainable development of forest resource. Multisource remote sensing data provide abundant temporal, spatial, and spectral ...

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Business MondaysOpinion

OPINION: Why ‘hallucinations’ mean putting too much trust in AI is a risky customs strategy

Bee Newboult, head of regional marketing and expansion at Customs Support Group, looks at the risks of placing too much trust ...
AZoRobotics

Detecting IoT Malware in EV Chargers with Deep Learning

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...
The Print

Neural Intelligence in IT and HR Launched Globally by Dr. Gunjan Singh & Dr. Viveak Ballyan

The global launch of “Neural Intelligence in IT and HR” marks a remarkable advancement in the field of Artificial Intelligence. Authored by Dr. Gunjan Singh and Dr. Viveak Ballyan, the book introduces ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
IEEE

Development of Deep Learning Methods for Visual Document Classification Using Hybrid Vision Transformer–EfficientNet Architecture

Abstract: The rapid expansion of digital archives and scanned document collections has underscored the importance of reliable and efficient document classification techniques. Traditional methods that ...