Classification Model Example

When Images Fool AI Models

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

Business and Financial Times on MSNOpinion

Logged in, left out: the fight for fair classification in Ghana’s gig economy

Introduction Although commercial transportation in Ghana was previously limited to paratransit vehicles like trotro and local ...

Devdiscourse

AI models hallucinate because they’re rewarded for guessing

While pretraining introduces unavoidable statistical errors, the study argues that post-training and evaluation practices ...

Electronics For You

Compact AI Health Monitoring And Anomaly Detection Device

This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...

US-based Neurologist Dr Rohit Das Highlights role of AI in advancing Neurology at IANCON 2025 in Varanasi

To raise public awareness, the Indian Academy of Neurology's runner group will organize a special run titled "Run for Brain." On Friday, a T-shirt launch ceremony for the event was held in Hall No. 7, ...

Unite.AI

DINOv3 and the Future of Computer Vision: Self-Supervised Learning at Scale

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

TMCnet

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

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...