Communications of the ACM

When Images Fool AI Models

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram ...

Apple just dropped a research dataset to help train AI image editing models

Apple has released Pico-Banana-400K, a 400,000-image research dataset which, interestingly, was built using Google’s Gemini-2 ...

Adobe Firefly Image 5 brings support for layers, will let creators make custom models

Adobe said on Tuesday that it is launching the latest iteration of its image generation model, Firefly Image 5. The company ...

Distillation Can Make AI Models Smaller and Cheaper

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, more efficient way to build AI. But distillation, also called knowledge ...

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
TNO

Internship | Reliable Image Classification with Vision-Language Models

Modern image classification has made tremendous progress thanks to big data. Deep learning models like CLIP, trained on over 400 million images, can now easily distinguish between different cat ...
ascopubs.org

Efficient Augmented Intelligence Framework for Bladder Lesion Detection

Real-Time Identification of Pancreatic Cancer Cases Using Artificial Intelligence Developed on Danish Nationwide Registry Data We used four deep learning models (ConvNeXt, PlexusNet, MobileNet, and ...