An international standard for a new video codec named (ISO MPEG) VVC or (ITU-T) H.266 has been released. Share related articles. Unlike HEVC, where most of the technologies were completed before the advent of deep learning technology, VVC is deep learning…
According to various statistics, the number of AI-related major conference participants increased 6 times over 5 years, and the number of AI startups increased 113% while non-AI startups increased 28% over 4 years. Venture investment for 5 years in non-AI field...
Share what you've recently enjoyed reading. In this article, we will introduce a form in which humans and AI work in different fields, and one side collaborates rather than replaces the other. Collective intelligence is an individual's intellectual…
We share the project page of “Learning Character-Agnostic Motion for Motion Retargeting in 2D”, a paper published at SIGGRAPH 2019. This paper extracts motion, skeleton, and camera angle from three (which may be different) images, and then…
Links are articles that cause a lot of concerns about the difference between Intelligence and Automation. Artificial Intelligence is known as a term that came into use with the advent of neural networks in the 1960s. Since then, special progress has been made through difficulties in securing computing power and data...
In the field of video compression, there are the same things as Moore's Law (the number of transistors doubles every two years), MPEG-1 in 1993, MPEG-4/AVC (H.264) in 2003, MPEG-H/HEVC in 2013 ( H.265). For reference, in the case of image compression,…
Text-to-SQL is a task that automatically converts natural language into SQL. The post I shared at the bottom was written by Aerin Kim of Microsoft, and it is well organized about Text-to-SQL. In the world, a lot of data is built as a relational database, and in this database...
It is thought that GPU is essential when learning deep learning algorithms, but when serving after model training is complete, CPUs are often used instead of GPUs. For example, after some optimization process...
In the field of prediction, Algorithm Aversion is used to mean that once you realize that an algorithm can make mistakes, you tend to avoid using it, even if it is better than human predictions. For example, AI interview, disease prediction, autonomous driving, AI…
