A new 3D image projection system marks a major step toward overcoming a longstanding problem for holographic technology.

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

Miri Technologies Inc. has signed a distribution agreement with Midwich to expand availability of its products in the United States and Canada, the companies said Tuesday. The deal aims to … The post ...

Abstract: Encoder-decoder networks have become the standard solution for a variety of segmentation tasks. Many of these approaches use a symmetrical design where both the encoder as well as the ...

In the study titled MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer, a team of nearly 30 Apple researchers details a novel unified approach that enables both ...

Abstract: With the development of convolutional neural networks, the semantic segmentation of remote sensing images has been widely developed, but there are still some unsolved problems in this field ...

A screenshot of Mu performing real-time question answering. Image: Windows YouTube channel The Mu small language model enables an AI agent to take action on hundreds ...

H.267 should be finalized between July and October 2028. If history holds, this means H.267 won’t see meaningful deployment until 2034–2036, long after I hang up my keyboard. Here's a brief ...

The AI research community continues to find new ways to improve large language models (LLMs), the latest being a new architecture introduced by scientists at Meta and the University of Washington.