Morning Overview on MSN

Patients under general anesthesia may still process spoken words, a study suggests

Researchers have recorded direct evidence that the human hippocampus continues to process spoken words, grammar, and meaning ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

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

Humans May Have Used These Mysterious Symbols to Encode Information Tens of Thousands of Years Before the First Writing Systems

The team analyzed 260 engraved objects discovered in caves in what is now southwest Germany, including this 40,000-year-old mammoth figurine. Universität Tübingen / Hildegard Jensen, CC-BY-SA 4.0 ...
TechNode

DeepSeek releases OCR 2 with new visual encoding architecture, targeting more human-like machine vision

Chinese AI startup DeepSeek on Tuesday released a research paper and open-sourced its latest optical character recognition (OCR) model, DeepSeek-OCR 2, aiming to improve how machines interpret and ...
IEEE

UHD Video Encoding in CPU Versus GPU: Quality and Performance Trade-Offs

Abstract: In the contemporary digital media environment, video encoding is of paramount importance for applications such as streaming and video conferencing. With the increasing demand for higher ...
TechSpot

AMD's RDNA 4 GPUs bring major encoding and ray tracing upgrades

The big picture: AMD finally revealed the specifications, pricing, and performance details of Radeon RX 9070 and Radeon RX 9070 XT graphics cards, with full reviews expected in the coming days. While ...
GitHub

The Music Encoding Initiative

The Music Encoding Initiative (MEI) is an open-source effort to define a system for encoding musical documents in a machine-readable structure. MEI brings together specialists from various music ...
IEEE

A Joint-Encoding Evolutionary Algorithm for Multimodal Multiobjective Feature Selection in Classification

Abstract: In multiobjective feature selection, different feature subsets with the same number of selected features can achieve identical classification accuracy, meaning that it is a multimodal ...
Hacker

The Concept Behind "Mean Target Encoding" in AI & ML

Categorical Encoding - Undoubtedly, is an integral part of data pre-processing in machine learning. Although the most common categorical encoding techniques are Label and One-Hot encoding, there are a ...