VentureBeat

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory ...
IEEE

Parallel Attention Mechanisms in Neural Machine Translation

Abstract: Recent papers in neural machine translation have proposed the strict use of attention mechanisms over previous standards such as recurrent and convolutional neural networks (RNNs and CNNs).
IEEE

Seismic Facies Segmentation via a Segformer-Based Specific Encoder–Decoder–Hypercolumns Scheme

Abstract: Seismic facies classification plays an important role in oil and gas reservoir interpretation. In the past few years, convolution neural network (CNN)-based models have been widely used in ...
note

Multimodal LLMs That Ditched the Encoder — Reading the "Direct Projection" Architecture of Gemma 4 12B

On June 3, 2026, Google DeepMind released Gemma 4 12B (where 12B = 12G = 12 billion parameters). It is a model capable of handling images, audio, and video, making it an AI that can process multiple ...