At Carnegie Mellon University’s Next Manufacturing Center, researchers have developed an off-axial imaging system to capture ...

Beyond Anthropic and OpenAI, a new wave of AI startups is choosing Trainium to train models that simulate the physical world.

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Nvidia's Nemotron 3 Ultra and Google's Gemma 4 12B were released within days of each other in June 2026. Here is what makes them fundamentally different and why both matter for the future of open ...

Researchers from Donghua University and Yanshan University have developed an enhanced neural network called EF-YOLO, which ...

Image captioning is a cross-modal task that combines computer vision and natural language processing to generate natural language descriptions of visual content. Recent advances have explored the ...

We cross-validated four pretrained Bidirectional Encoder Representations from Transformers (BERT)–based models—BERT, BioBERT, ClinicalBERT, and MedBERT—by fine-tuning them on 90% of 3,261 sentences ...

Until recently, my understanding of AI was rooted in traditional machine learning : logistic regression, random forests, and classification models. Then the AI world exploded. Transformers, embeddings ...

Abstract: Semantic segmentation of remote sensing images is challenging due to complex scenes, substantial variations in object scales, and ambiguous boundaries. In this study, we propose a novel ...

The original Transformer architecture, crucial for tasks like machine translation, features a powerful Encoder and a Decoder working together. While some modern models (like GPT) are "decoder-only" or ...

ABSTRACT: To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net ...

Google has launched Gemma 3n, a powerful AI model that can run directly on phones without internet access, supporting advanced multimodal tasks using just 2GB of memory.