NVidia unveiled a cloud-based video communication platform called Maxine. Maxine's feature is the full introduction of AI technology. Specifically, it detects facial landmarks rather than compressing and sending facial images with image coding technology such as H.264...
The first stable version 1.0 of the Huggingface Datasets library has been released, making it easy to use NLP datasets and evaluation metrics. Currently, we support about 100 datasets and evaluation metrics (about 10) for each dataset.
The performance improvement shown by Transformer-based language models is surprising, but as the model size increases exponentially, concerns about service costs are also becoming important. Bert-base or GPT-2 has about 100 million parameters, so the model size, memory bandwidth,...
The link is a review of a paper published by Sony and ETH Zurich, which shows that the reinforcement learning was applied to the famous car game Gran Turismo, which exceeded the human record. The technology used is already well known...
Scatterlab (https://scatterlab.co.kr/), which stands out in everyday conversational research, is an article on the Ping-Pong team blog. I still see GPT-3 as a'eye of doubt', but it's curious when I see it again...
There have been many attempts to convert code written in one programming language into another, and there are many types of commercial tools. The main purpose of use is to ensure compatibility, for example FORTRAN or BASIC, or...
Imagenet-1K (1000 class image classification problem) is a task that has been optimized with the development of CNN. AlexNet's TOP-5 error, which announced the beginning of the deep learning era, was about 17%. At that time, the TOP-5 error of the existing top technology (SIFT+FV) was about 26%...
This is an AR Glass concept video created by a designer named Iskander Utebayev. Even if it is a concept video, it is quite fancy and once implemented, I think there is a potential to significantly change the Human-Machine Interface that uses smart devices. Apply AI technology…
In the case of large-scale language models, there was always a difficulty because there was no Korean model. Following SKT's KoBERT, Naver released KcBERT, which was learned from the ground up with data reflecting Naver comment data and new words. Not only the trained model…
