New Apple model combines vision understanding and image generation with impressive results

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

WiMi Achieves Coexistence of Lightweight Design and High Performance by Efficiently Embedding Quantum Modules into U-Net

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) focuses on holographic cloud services, primarily concentrating on professional fields such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, ...
marktechpost

Google AI Releases EmbeddingGemma: A 308M Parameter On-Device Embedding Model with State-of-the-Art MTEB Results

EmbeddingGemma is Google’s new open text embedding model optimized for on-device AI, designed to balance efficiency with state-of-the-art retrieval performance. At just 308 million parameters, ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
Frontiers

AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images

Background: Abdominal ultrasonography is a primary diagnostic tool for evaluating medical conditions within the abdominal cavity. Accurate determination of the relative locations of intra-abdominal ...
Computerworld

Is Microsoft’s new Mu for you?

Call it the return of Clippy — this time with AI. Microsoft’s new small language model shows us the future of interfaces. Microsoft announced this week a new generative AI (genAI) system called Mu, ...
GitHub

layer sizes to compare iTransformer vs Vanilla Transformers

I want to compare iTransformer's encoder only approach to Vanilla Transformer's encoder-decoder type. I used 2 encoder layer for iTransformer and 1 encoder, 1 decoder layer for Transformer with the ...
IEEE

Computationally Efficient Single Layer Transformer Convolutional Encoder for Accurate Price Prediction of Agriculture Commodities

Abstract: Predicting the accurate future price of the agricultural crops is important to avoid overproduction or shortages in the food supply chain. To obtain accurate predictions, the process usually ...