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 ...
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 ...
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 ...
Moody Moving Faces: NVIDIA’s SPACEx Delivers High-Quality …
WEBNov 22, 2022 · The realistic, high-resolution human portraits generated by AI systems in recent years have wowed the Internet. While speech-driven portrait animation techniques designed to bring these faces to life have emerged as a new focus in the research community, existing approaches tend to struggle with issues such as pose variations, emotional control, and facial landmarks.
Meet TQP: The First Query Processor to Run On Tensor …
WEBMar 4, 2022 · A research team from the University of Washington, UC San Diego and Microsoft prototypes Tensor Query Processor (TQP), a query processor that runs atop tensor computation runtimes (TCRs) such as PyTorch, TVM, and ONNX Runtime, improving query execution time by up to 20x over CPU-only systems and up to 5x over specialized GPU solutions.
LSTM Is Back! A Deep Implementation of the Decades-old …
WEBMay 10, 2022 · A research team from Rikkyo University and AnyTech Co., Ltd. examines the suitability of different inductive biases for computer vision and proposes Sequencer, an architectural alternative to ViTs that leverages long short-term memory (LSTM) rather than self-attention layers to achieve ViT-competitive performance on long sequence modelling.
Tree Boosting With XGBoost – Why Does XGBoost Win “Every” …
WEBOct 22, 2017 · Introduction Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting method of choice. But a starting from 2015, a first to try, always winning algorithm surged to the surface: XGBoost. This algorithm re-implements the tree
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 ...
200+ World-Class AI Experts at BAAI 2022: ‘AI Life’, Multimodal …
WEBJun 7, 2022 · The BAAI Conference 2022 kicked off at 9:00 am on May 31 in Beijing and ran through June 2. AI experts, industry leaders, young talents and international delegates joined the virtual gathering and live stream for three busy days of high-level keynotes, tech talks, parallel forums and networking. The conference addressed a variety of contemporary
A Brief History of Deep Learning Frameworks | Synced
WEBDec 14, 2020 · Bronze Age (~2012) In 2012, Alex Krizhevsky et al. from the University of Toronto proposed a deep neural network architecture later known as AlexNet [1] that achieved the state-of-the-art accuracy on ImageNet dataset and outperformed the second-place contestant by a large margin.This outstanding result sparked the excitement in deep neural networks and since then various deep neural network ...
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