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.
Tag: technology
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 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.
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.
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.
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.
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.
Is Your Business Ready for the ‘Second Wave’? Lessons from the Chinese AI Industry’s Fight Against COVID-19
Synced presents 13 comprehensive case studies and 74 use cases in five main application scenarios to demonstrate how AI has assisted and can continue to assist in efforts to roll back COVID-19.
Princeton, DeepMind & NYU Research Distills Symbolic Representations of DL Models Using Inductive Biases
A team of researchers from Princeton, DeepMind and New York University have introduced a new method that extracts symbolic representations from deep learning models by introducing strong induction biases.
Deep Graph Contrastive Representation Learning
This paper presents a novel contrastive framework for unsupervised graph representation learning.
Stanford ‘SIRENs’ Apply Periodic Activation Functions to Implicit Neural Representations
The researchers introduce sinusoidal representation networks (SIRENs) as a method for leveraging periodic activation functions for implicit neural representations.
Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks
DeepMind researchers released several new models and a tutorial for their dm_control software stack for physics-based simulation and reinforcement learning environments using MuJoCo physics.
Fourier Feature Mapping Enables MLPs to Learn High-Frequency Functions in Low-Dimensional Domains
Researchers have proposed the use of Fourier feature mapping with MLPs in order to learn high-frequency functions in low-dimensional problem domains.
Google & DeepMind Researchers Revamp ImageNet
Google Brain in Zürich and DeepMind London researchers believe one of the world’s most popular image databases may need a makeover.
WWDC 2020 | Apple Will Replace Intel CPU With Its Own ‘Apple Silicon’ Chips
Apple CEO Tim Cook made the announcement today during his keynote speech opening the Apple Worldwide Developers Conference (WWDC 2020).
Google Brain’s SimCLRv2 Achieves New SOTA in Semi-Supervised Learning
Following on the February release of its contrastive learning framework SimCLR, the same team of Google Brain researchers guided by Turing Award honouree Dr. Geoffrey Hinton has presented SimCLRv2, an upgraded approach that boosts the SOTA results by 21.6 percent.
Answering Multi-Hop Open-Domain Questions With Graph-Based Recurrent Retrieval
Researchers from the University of Washington, Salesforce Research and Allen Institute for Artificial Intelligence have introduced a graph-based method that retrieves reasoning paths to boost multi-hop open-domain question answering.
GitHub Actions Facilitate MLOps on Repositories
GitHub recently introduced a series of free and open-source GitHub Actions that merge data science and machine learning workflows with a software development workflow.
From Texts to Kitties: OpenAI’s GPT Language Model Tackles Image Generation
Large transformer-based language models trained on pixel sequences can generate coherent images without the use of labels.
Google Brain Rethinks Pre-training and Self-training
A team of researchers from Google Brain have proposed a rethink of the dominant computer vision paradigm of pre-training.
Local Motion Phases Technique Boosts Basketball Animation Richness and Realism
Researchers have proposed a novel framework that learns fast and dynamic character interactions.
CVPR 2020 Underway, Best Papers Announced
The 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) has announced its best paper awards.
AI Startup Covariant.ai Building ‘Universal AI for Robots’
Covariant last month secured a US$40 million Series B funding round led by Index Ventures to push its total funding to US$67 million.
Dance to the Music! Stick Figures Groove With New ‘seq2seq’ Model & Curriculum Learning
Researchers from Fudan University and Microsoft have proposed a novel seq2seq architecture that generates dance sequences for music clips running a minute or longer.
Facebook and Kaggle Face Backlash After Disqualifying Apparent ‘Deepfake Detection Challenge’ Winner
Facebook and Kaggle are facing an online backlash after the apparent winners of the Deepfake Detection Challenge (DFDC) were disqualified.
AI Offers Video Game Design Possibilities Far Beyond Virtual Reality
Advanced computer vision technology is supercharging virtual and augmented reality, one of the latest milestones in video game design.
Toward Practical Real-World RL: New Criterion & Algorithm Enhance Deployment Efficiency
Researchers from the University of Tokyo and Google Research have proposed a new metric for RL performance and novel BREMEN algorithm designed to manage the costs and risks of new policy deployment.
A Look at Recent Advances in Google Translate
In a recent Google AI team blog post, researchers report on recent efforts and progress in the field of language translation, especially with resource-poor languages.
Toronto Machine Learning Society Presents MLOps: Production & Engineering 2020
Toronto Machine Learning Society (TMLS) hosts MLOps, Production & Engineering 2020 through an interactive conference to enable attendees the opportunity to virtually engage with speakers and establish a stronger network within the AI community.
Alibaba Launches Intelligent Search Business Department on Quark as Chinese Tech Giants Compete in the Search Space
Alibaba today announced the establishment of an Intelligent Search Business Department under the Alibaba Innovation Business Group.
AI and the Fight Against Disease and the Coronavirus
How AI is helping fight COVID-19?