The Financial Express

How Mark Zuckerberg’s brain-to-text AI model promises to outshine Elon Musk’s Neuralink

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging ...
Tech Times

Baidu OCR Breaks Long-Document Memory Wall: New Architecture Beats DeepSeek

Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...
Streaming Media

Multiview’s Vendor Landscape: How Streaming Architectures Determine Success

Multiview isn't a feature you bolt on. It's an architecture decision that shapes which devices you can reach, how much you pay to operate at scale, and how much control your product team has over the ...
IEEE

DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model

Abstract: Strong passwords are fundamental to the security of password-based user authentication systems. In the recent years, much effort has been made to evaluate the password strength or to ...
the-decoder

Open model Kimi K2.7 Code undercuts GPT-5.5 and Claude by up to 12x on price per token

Moonshot AI has released Kimi K2.7 Code, an open-source model designed specifically for complex programming tasks and agent-based workflows. Although the model falls behind Western competitors like ...
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 ...
InfoQ

Gemma 4 12B Enables On-Device, Multimodal Agentic Workflows with an Encoder-free Architecture

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

Encoder-Decoder With Cascaded CRFs for Semantic Segmentation

Abstract: When dealing with semantic segmentation, how to locate the object boundary information more accurately is a key problem to distinguish different objects better. The existing methods lose ...
GitHub

okunator/cellseg_models.pytorch

High level API to define cell/nuclei instance segmentation models. 6 cell/nuclei instance segmentation model architectures Flexibility to modify the components of the model architectures. Sliding ...
GitHub

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
note

Gemma 4 12B In-Depth: A New Model Bringing Full-Scale Multimodality to Laptops with an Encoder-Free Design

Gemma 4 12B is a new model in the Gemma 4 family announced by Google on June 3, 2026. It is positioned as an "encoder-free unified multimodal model optimized for laptops." The official blog (Google ...