Chinese AI Startup SenseTime considers IPO on STAR Market
Chinese AI start-up SenseTime is considering IPO on Shanghai Stock Exchange’s STAR Market.
Advertisements
Category: Technology
Technical review of the newest machine intelligence research.
Applying Linearly Scalable Transformers to Model Longer Protein Sequences
Researchers proposed a new transformer architecture called “Performer” — based on what they call fast attention via orthogonal random features (FAVOR).
Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch Users
PFRL succeeds ChainerRL as comprehensive library with cutting-edge deep reinforcement learning algorithms and features.
MLPerf Training v0.7 Results Released: Google & NVIDIA Lead the Race
The industry-standard MLPerf benchmark today released the results of the third round of its ongoing ML Training Systems competition.
Google Proposes Lasso Algorithm Variant for Learning Convolutions: ‘Bridging the Gap Between Fully-Connected and Convolutional Nets’
Unlike previous work that suggested fully-connected networks can only deliver subpar performance, Neyshabur’s experiments showed a significant performance jump.
About Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
SIAT aims to enhance the innovative capacity of the equipment manufacturing and service industries in the Guangdong-Hong Kong region, promote the development of emerging industries possessing their own proprietary intellectual property, and become a world-class industrial research institute.
SIAT Researchers Propose Novel Correction Method for Gas Sensor Drift Problem
Researchers developed a subspace learning-based domain adaptation method, which could potentially alleviate the gas sensor drift problem.
New White-Box Framework Will Cartoonize Your World
This framework can generate high-quality cartoonized images with much-improved controllability.
Alibaba and Accenture Report Share Insights on Post-COVID AI Development in China
On July 27, 2020, Alibaba Cloud Research Center and Accenture jointly launched the “The Penetrative and Explosive Power of AI Dividend” white paper, as part of the “China Enterprise 2020” series report.
Adobe and Stanford Unveil SOTA Method for Human Pose Estimation
The researchers say the approach produces motions that are visually and physically much more plausible than state-of-the-art methods.
Medical Image Computation and the Application
The process of applying machine learning methods in medical image analysis is called medical image computation. This post will introduce SIAT’s work in medical image synthesis, classification, and segmentation.
DeepMind’s AlignNet Learns Stable Object Representations Across Time
New research from UK based AI company and research lab DeepMind is enabling AI agents to perceive dynamic real-world environments more like humans do.
Microsoft & MIT Apply Adversarially Robust Models for Better Transfer Learning
Despite being less accurate on ImageNet, adversarially robust neural networks can match or improve their standard counterparts’ transfer performance.
Joint Spatial-Temporal Transformation Learning Boosts Video Inpainting Performance
Researchers introduce a joint Spatial-Temporal Transformer Network (STTN) to tackle such video inpainting challenges.
U of Florida Receives Us $50 Million From Nvidia to Build a 700-Petaflops AI Supercomputer
The University of Florida (UF) and Nvidia University announced on Tuesday the plan to build the world’s fastest AI supercomputer in academia, providing 700 petaflops of AI performance.
Facebook & Inria Propose High-Performance Self-Supervised Technique for CV Tasks
Researchers have developed a new technique for self-supervised training of convolutional networks used for image classification and other computer vision tasks.
Automating Machine Learning: Google AutoML-Zero Evolves ML Algorithms From Scratch
Google researchers propose an “AutoML-Zero” approach designed to automatically search for machine learning (ML) algorithms from scratch, requiring minimal human expertise or input.
Meet ByteDance AI’s Xiaomingbot: World’s First Multilingual and Multimodal AI News Agent
Researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot, a multilingual and multimodal news reporter.
Fujitsu Develops World’s First AI technology to Accurately Capture Characteristics of High-Dimensional Data Without Labeled Training Data
Fujitsu has developed the world’s first AI technology that accurately captures the characteristics of high-dimensional data without labeled training data.
SIAT Researchers Propose Novel Deep Learning Method for Positron Emission Tomography
Researchers developed a novel deep learning method that reconstructs PET images using a cascading back-projection neural network (bpNet).
Google releases 2020 academic indicators; CVPR rank first among AI academic conferences
Google officially released the 2020 Scholar Metrics list.
Google Bridges Domain Gaps in Semantic Segmentation of LiDAR Point Clouds
A team of Google researchers recently proposed a novel “complete and label” domain adaptation approach.
Grounded Language Learning: A Look at the Paper ‘Understanding Early Word Learning in Situated Artificial Agents’
This paper carefully engineers artificial-language learning experiments to replicate sources of information infants learn from and under what conditions.
NVIDIA Novel vid2vid Framework Synthesizes Realistic World-Consistent Videos
NVIDIA researchers propose a novel vid2vid framework that utilizes all past generated frames during rendering.
ProtTrans Delivers SOTA Pretrained Language Models for Proteins
Researchers launched the ProtTrans Project, which provides an outstanding model for protein pretraining.
PLATO-2: The State-Of-The-Art Open-Domain Chatbot in Chinese and English
PLATO-2, a open-domain chatbot model, can talk about anything in Chinese and English and engage in deep conversations.
Chinese Scientists Reveal Brain Circuit Mechanism Under Anxiogenic Situations
Researchers revealed a circuit mechanism, in which BNST modulated the NAc, exerting a direct effect on anxiety.
Facebook & CMU Introduce TaBERT for Understanding Tabular Data Queries
TaBERT-powered neural semantic parsers showed performance improvements on the challenging benchmark WikiTableQuestions and demonstrated competitive performance on the text-to-SQL dataset Spider.
Introducing TayPO, a Unifying Framework for Reinforcement Learning
Researchers proposed a Taylor Expansion Policy Optimization (TayPO) framework that combines two leading algorithmic improvement methods.
ICML 2020 Announces Outstanding Paper Awards
The acceptance rate of 21.8 percent is slightly lower than 2019’s 22.6 percent (774 accepted papers from 3,424 submissions).
DeepMind Explores Generalization and Efficiency in Algorithm Design
DeepMind introduced a new approach designed to improve the generalizability and efficiency of algorithms represented by neural networks.
New Google Research Incorporates Societal Context in ML Systems
To promote fairer ML systems, the team introduced a collaborative causal theory formation that incorporates diverse stakeholder perspectives for discovering and considering societal context.
DeepMind Explores Deep RL for Brain and Behaviour Research
DeepMind researchers call attention to another “fundamentally novel” development in AI research — deep reinforcement learning (deep RL) — which they believe also has vital implications for neuroscience and deserves more attention from neuroscientists.
Grand Theft Auto Scene Context Data Boosts Human Motion Prediction
A team of researchers proposed a novel three-stage learning framework that includes scene context to generate long-term 3D human motion prediction when given a single scene image and 2D pose histories.
Researchers Propose ‘Neuro-Symbolic’ Approach for Generative Art
Researchers propose a neuro-symbolic hybrid approach to address the challenge of creativity in generative art.
ACL 2020 Announces Best Paper & Test-Of-Time Awards
Organizers of the 58th Annual Meeting of the Association for Computational Linguistics (ACL) today announced their Best Paper Awards.
Novel Vision-based Algorithm to Track Pose of Spacecraft in Real Time
Researchers from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences and their collaborators from Beihang University developed a novel vision-based algorithm to track the 6-DOF pose of a multi-rigid-body spacecraft in real time.
‘Beyond the ConvNet’ -Stanford & MIT Neural Network Learns Physical Graph Representations from Video
Researchers introduce a novel Physical Scene Graphs (PSG) approach designed to obtain a better structured understanding of visual scenes.
Facebook Introduces Integrated Eye & Face Model for 3D Immersion in Remote Communication
The proposed method generalizes well across various degrees of eye openness, different identities, and combinations of eye and lower facial expressions.
“Smart” Polymers Design Empowers Actuators With Biological Characters
Interactive sensors and actuators, with the “intelligence” of sensing the environment and responding accordingly, are essential for human-machine interaction. However, it remains a critical challenge for a long time.