New White-Box Framework Will Cartoonize Your World
This framework can generate high-quality cartoonized images with much-improved controllability.
Category: AI
Global machine intelligence updates.
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.
Chinese Search Specialist Sogou Receives Tencent Buyout Offer
Chinese tech giant Tencent has proposed to acquire all of the Sogou’s outstanding ordinary shares for a cash price of US$9 per share.
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.
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.
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.
Popular Microsoft Chatbot XiaoIce Gains Independence as a New Company Led by Di Li and Harry Shum
Microsoft announced it would spin off its chatbot business XiaoIce, with all associated technologies licensed to a newly formed independent company.
Poorly-Explained NeurIPS 2020 Desk-Rejects Peeve ML Researchers
NeurIPS desk-rejects (papers passed over without review) has become “a super noisy process,” complains a post in the Reddit Machine Learning group.
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.
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.
Insilico Medicine Announces the Spin-Off of Deep Longevity
Insilico Medicine announced a spin-off of its aging biomarker and deep aging clock business.
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.
Microsoft Will Divest XiaoIce as an Independent Business
Microsoft today announced it will divest its XiaoIce business into an independent company, with Harry Shum appointed as the Chairman of the board.
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.
Viral Post Highlights ‘Toxicity Problems’ in the Machine Learning Community
The post highlights perceived peer-review problems, the reproducibility crisis, and ethics and diversity issues.
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.
‘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.
Nature Paper Puts An Eye on China’s New Generation of AI
The paper looks at the New Generation Artificial Intelligence (NGAI) Development Plan of China (2015– 2030), which was published in 2017 as a blueprint for the rapid construction of a complete Chinese AI ecosystem.
“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.
Will Artificial Brain Synapses & Neuromorphic Computing Open the Next AI Hardware Frontier?
There are one trillion synapses in a cubic centimeter of the brain. If there is such a thing as General AI, it would probably require one trillion synapses.
ICML 2020 Announces Test of Time Award
Organizers of the 37th International Conference on Machine Learning (ICML) have announced this year’s Test of Time award, which goes to a team from the California Institute of Technology, University of Pennsylvania, Saarland University.
Semantic Segmentation Boosts Kiwifruit-Harvesting Robot Performance
Facing a shortage of seasonal workers and rising labour costs, kiwifruit growers may get some relief from robots equipped with a new AI-powered fruit detection system.
Top US AI Research Institutes and Tech Companies Support National AI Research Cloud
Leading US universities engaged in AI research have joined tech giants in backing legislation aimed at establishing a roadmap for the creation of a national AI research cloud.
NetHack: Fast & Complex Learning Environment For Testing RL Agent Robustness & Generalization
NLE is a procedurally generated environment for testing the robustness and systematic generalization of RL agents.
Yann LeCun Quits Twitter Amid Acrimonious Exchanges on AI Bias
Turing Award Winner and Facebook Chief AI Scientist Yann LeCun has announced his exit from Twitter after getting involved in a long and often acrimonious dispute regarding racial biases in AI.