Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...

Abstract: In this letter, we propose a fully trainable graph neural network (GNN) decoder for short polar codes, underpinned by a novel graph attention network (GAT)-aided message-passing (GAT-MP) ...

The Blackmagic Streaming Encoder HD is a streaming processor with H.264 for streaming in HD via SRT or RTMP protocols to services such as YouTube. Includes USB webcam, 12G‑SDI input with built-in ...

HYVE is a hybrid neural implicit representation that encodes 3D geometry into a latent grid via a hybrid graph and grid neural network encoder and decodes it at specified positions into a signed ...