IBM Closes China Research Laboratory | Synced
WEBJan 25, 2021 · IBM has closed off its Beijing-based China Research Laboratory (CRL) after 25 years of operation. Insiders familiar with the matter posted confirmations on Chinese social media sites on January 23. In an official response released today, IBM explained that the move aimed to “transform the R&D layout in China, as to support Chinese clients ...
China’s GPT-3? BAAI Introduces Superscale Intelligence Model …
WEBMar 23, 2021 · The BAAI research team summarizes some of Wu Dao 1.0’s key contributions: Wu Dao – Wen Yuan introduces the open-source Chinese pretraining model (CPM). Based on CPM, the CPM-Distill model reduces language confusion by 38 percent and achieves better results on downstream tasks. Wu Dao – Wen Lan is the first Chinese generic multimodal ...
A Look at Recent Advances in Google Translate | Synced
WEBJun 10, 2020 · Incorporating these new advances, Google’s latest model scores an average five-point increase on BLEU compared to the previous GNMT model — with the class of 50 low-resources languages achieving an average seven-point boost. The researchers note that there is still much room for improvement in the quality of automatic translation for ...
Peng Cheng Laboratory & Baidu Release PCL-BAIDU Wenxin: The …
WEBDec 9, 2021 · On December 8, Peng Cheng Laboratory (PCL) and Baidu held a press conference to announce the release of PCL-BAIDU Wenxin (version Ernie 3.0 Titan), the world's first knowledge-enhanced 100-billion-scale pretrained language model and largest Chinese-language monolithic model. PCL-BAIDU Wenxin achieves state-of-the-art results on more than 60 natural language processing (NLP) tasks and ...
Alibaba’s New AI Chip Can Process Nearly 80K Images Per Second
WEBSep 25, 2019 · Given an inference image classification benchmark test on ResNet-50, Hanguang 800’s peak performance is 78,563 images per second (IPS). Zhang says the Hanguang 800 is 15 times more powerful than the NVIDIA T4 GPU, and 46 times more powerful than the NVIDIA P4 GPU. The chip’s peak efficiency is 500 IPS/W. The Pingtouge chip development team ...
CMU’s DensePose From WiFi: An Affordable, Accessible and …
WEBJan 17, 2023 · DensePose was introduced in 2018 and aims to map human pixels in an RGB image to the 3D surface of the human body. Synced has previously covered additional research on the use of WiFi signals for human pose and action recognition through walls and the associated risks of such technologies. This new paper focuses on a …
The Staggering Cost of Training SOTA AI Models | Synced
WEBJun 27, 2019 · Synced took a look at cost estimates for training other large AI models: University of Washington’s Grover-Mega — total training cost: US$25,000. Grover is a 1.5-billion-parameter neural net tailored for both the generation and detection of fake news. Grover can generate the rest of an article from any headline, and outperforms other fake ...
Microsoft’s FocalNets Replace ViTs’ Self-Attention With Focal ...
WEBMar 25, 2022 · In the five years since their introduction, transformer architectures have come to dominate the natural language processing research field. Recently, vision transformers (ViT) have also demonstrated their power and potential across a wide range of computer vision tasks. While the success of transformers is largely attributed to their unique self-attention (SA) mechanism, SA’s quadratic ...
CMU Senior Develops World’s First Classical Chinese Programming ...
WEBDec 23, 2019 · A fan of classic Chinese literature, Huang came up with the idea of programming in Chinese in order to shed light on the beauty of wenyan and to inherit the historical imprint left by generations of eminent figures in Chinese history. But most importantly, Huang believes the goal of communication is to go beyond the limits of language: “My project still has a lot of room for improvement, but ...
Geoffrey Hinton’s Forward-Forward Algorithm Charts a New Path …
WEBDec 8, 2022 · The FF algorithm is inspired by Boltzmann machines (Hinton and Sejnowski, 1986) and Noise Contrastive Estimation (Gutmann and Hyvärinen, 2010). It aims to replace the forward and backward passes of backpropagation with two forward passes: a positive pass that operates on real data and adjusts weights “to …