Autonomous Learning Library Simplifies Intelligent Agent Creation
The Autonomous Learning Library is a deep reinforcement learning (DRL) library for PyTorch that streamlines the building and evaluation of novel reinforcement learning agents.
Category: Technology
Technical review of the newest machine intelligence research.
New Large Aerial Image Database for Agricultural Pattern Analysis
AI systems are already helping farmers with soil analysis, planting, animal husbandry, water conservation and more.
Google Introduces Flax: A Neural Network Library for JAX
Google recently introduce Flax - a neural network library for JAX that is designed for flexibility.
3DPeople | First Dataset to Map Clothing Geometry
A team of researchers from Institut de Robòtica i Informàtica Industrial and Harvard University recently introduced 3DPeople, a large-scale comprehensive dataset with specific geometric shapes of clothes that is suitable for many computer vision tasks involving clothed humans.
Give Your Apps a New Interface With Neural Style Transfer!
To enable both content creators and end users to seriously restyle their apps’ interfaces while maintaining content detail clarity essential to their usability, researchers from Stanford have proposed ImagineNet, a novel and powerful new tool for interface customisation.
Do Mice Use Distributional RL? DeepMind Says Yes
DeepMind researchers have uncovered parallels between how brains react to dopamine and the trending AI theory of distributional reinforcement learning.
Three Papers in the Eye of the ‘AI Breast Cancer Detection’ Storm
A trio of AI detecting breast cancer papers from Google, NYU, and DeepHealth have triggered huge discussions. What are the breakthroughs? Is AI truly beating radiologists? Where exactly are we right now?
EmotionCues: AI Knows Whether Students Are Paying Attention
A research team from the Hong Kong University of Science and Technology and Harbin Engineering University has adopted facial recognition technology to analyze students’ emotions in the classroom through a visual analytics system called “EmotionCues.”
Building a Lie Detector for Images
Fake images and videos are giving AI a black eye — but how can the machine learning community fight back?
Fujitsu ‘Actlyzer’ Delivers AI-Powered, Video-Based Behavioural Analysis
The Fujitsu Laboratories and R&D Center behavioural analysis technology identifies suspicious activity by analysing complex combinations of human actions and movements — and does so with minimal training data.
AWS Introduces Open Source AutoML Toolkit ‘AutoGluon’
AutoGluon is designed to be an easy-to-use and easy-to-extend AutoML toolkit, suitable for both machine learning beginners and experts.
Introducing ‘DiffTaichi’ – A Differentiable Programming Language Tailored for Physical Simulation
Researchers have proposed DiffTaichi, a new differentiable programming language based on Taichi and specially tailored for building high-performance differentiable physical simulators.
AI Listens to Panda Love Sounds, Predicts Mating Success
Researchers trained a neural network, CGANet (Convolution module, bidirectional Gated Recurrent Unit module, Attention module), to automate the mating success prediction process for pandas based on their vocal sounds.
Facebook Open-Sources PySlowFast Codebase for Video Understanding
FAIR as now open-sourced PySlowFast, along with a pretrained model library and a pledge to continue adding cutting-edge resources to the project.
‘Brains Are Amazing’ – Neuroscientists Discover L2/3 Human Neurons Can Compute the XOR Operation
New research now suggests scientists may have severely underestimated the power and potential of our neurons.
PracticalAI 2.0 | ‘Learn, Explore and Build’ ML Models Online
PracticalAI recently released “practicalAI 2.0,” a platform that includes illustrative machine learning lessons in TensorFlow 2.0 + Keras and has garnered over 23k stars on GitHub.
SLM Lab: New RL Research Benchmark & Software Framework
In an effort to sustain RL’s momentum, a team of researchers from Machine Zone, Google Brain, and California Institute of Technology have introduced a new software framework and benchmark for reproducible reinforcement learning research.
Vroom! Vroom! New Dataset Rolls Out 64,000 Pictures of Cars
Recently, a dataset with 64,000 pictures of cars appeared on GitHub, the work of data scientist Nicolas Gervais.
Microsoft Releases NNI V1.3 for AutoML Algorithms and Training
To help users design and tune machine learning models, neural network architectures or complex system parameters in an efficient and automatic way, in 2017 Microsoft Research began developing its Neural Network Intelligence (NNI) AutoML toolkit, open-sourcing v1.0 version in 2018.
Microsoft & Peking University FaceShifter: High Fidelity, Occlusion Aware Face Swapping
A new study from Peking University and Microsoft Research Asia proposes a novel two-phase framework, FaceShifter, that aims for high-fidelity and occlusion-aware face exchange.
Facebook AI | Text-Based Generation of Interactive Worlds
Researchers recently proposed a new machine learning method for worldbuilding based on content from LIGHT, a research environment open-sourced by Facebook comprising crowd-sourced game locations, characters, and objects, etc.
Google & UC Berkeley ‘Reformer’ Runs 64K Sequences on One GPU
A recent paper accepted by ICLR 2020 proposes a new transformer model called “Reformer” which achieves impressive performance even when running on only a single GPU.
Gaussian Error Linear Unit Activates Neural Networks Beyond ReLU
Results of the various experiments show GELU consistently has the best performance compared with ReLU and ELU, and can be considered a viable alternative to previous nonlinear approaches.
Google Releases ALBERT V2 & Chinese-Language Models
Google has now released a major V2 ALBERT update and open-sourced Chinese ALBERT models.
‘SketchTransfer’ Draws Understanding From Detail Invariance
A team of researchers from Mila and Google Brain believe simple pencil sketches could help AI models generalize to a better understanding of unseen images.
Happy AI New Year! Global Researchers Reflect on 2019, Talk Trends for 2020
To welcome 2020 with some fresh AI perspectives, Synced spoke with global researchers from Google Brain, Sony AI, Alibaba affiliate Ant Financial (formerly known as Alipay) and other organizations.
Vision-Based AI Model Solves Sudoku at a Glance
Although “Sudoku“ grid-based number puzzles are no match for today’s artificial intelligence systems, a novel approach to the challenge is trending on GitHub due to its practical integration of computer vision technologies.
2019 in Review: 10 AI Papers That Made an Impact
As part of our year-end series, Synced spotlights 10 artificial intelligence papers that garnered extraordinary attention and accolades in 2019.
Tencent AI ‘Juewu’ Beats Top MOBA Gamers
In a recent paper Tencent AI Lab researchers present a deep reinforcement learning (DRL) approach to handle the complex action control of agents in MOBA 1v1 games.
2019 In Review: 10 Open-Sourced AI Datasets
In the conclusion to our year-end series, Synced spotlights ten datasets that were open-sourced in 2019.
Facebook PointRend: Rendering Image Segmentation
Facebook AI Research team has introduced a new “point-based rendering” neural network module with an iterative subdivision algorithm that can integrate SOTA image segmentation models.
CMU Senior Develops World’s First Classical Chinese Programming Language
Carnegie Mellon University computer science major Lingdong Huang has developed ‘Wenyan-Lang,’ a programming language based on Chinese hanzi characters and the wenyan classical Chinese grammar system.
2019 in AI | Year-End Recaps From Synced, Stanford, Reddit & More!
Synced Global AI Weekly December 22nd
ICLR 2020 Accepted Papers Announced
The ICLR 2020 conference programme chairs finally put the selection process behind them, announcing 687 out of 2594 papers had made it to ICLR 2020 — a 26.5 percent acceptance rate.
If Data is the New Oil, How to Determine Its Value?
A team of researchers from the University of California at Berkeley, ETH, Zhejiang University, and the University of Illinois at Urbana-Champaign set out to put a price on data in the context of machine learning in their 2019 research papers.
12-in-1: Facebook AI’s New Framework Tackles Multiple Vision-and-Language Tasks
The model reduces the number of parameters from some 3 billion to 270 million while improving task performance by an average of 2.05 points.
Visual Dialogue State Tracking Improves Question Generation
Researchers from Beijing University of Posts and Telecommunication have introduced a novel visual dialogue state tracking (VDST) model that’s got pretty good at the similar, visual dialogue guessing game “GuessWhat?!”
PyTorch Deep Learning Framework: Speed + Usability
A new paper from original PyTorch developers explores the inspiration behind the library, and makes the case for its unique marriage of speed and usability.
Attention Please! Remastering Vintage Films With Temporal Source-Reference Attention Networks
Researchers from the University of Tsukuba and Waseda University in Japan recently introduced a single framework designed to tackle an entire range of remastering tasks for films that have been converted to digital data.
Weekly Papers | Praising PyTorch; Improving Lip Reading; Generating Structured Text and More
Every Friday Synced selects seven recent studies that present topical, innovative or otherwise interesting or important research we believe may be of interest to our readers.