Creating ‘Yuru-Chara’ and a New Class Conditional GAN Approach For Small Datasets
Researchers have proposed a new and inexpensive method for automatically generating yuru-chara characters.
Category: Research
Technical review of the newest machine intelligence research.
Landing AI ‘Social Distancing Detector’ Monitors Workplaces
Silicon Valley based Landing AI introduced a new AI-enabled social distancing detection tool designed to help monitor and enforce physical distancing protocols in workplaces.
Deflecting Adversarial Attacks
Researchers introduce the notion of deflecting adversarial attacks, which presents a step towards ending the battle between attacks and defenses.
Stephen Wolfram: The Path to a Fundamental Theory of Physics May Begin With a Hypergraph
Wolfram announced this week that he may have found a path that leads to a fundamental theory of physics, and that it is “beautiful.”
Unsupervised Image-to-Image Translation Turns Selfies Into Anime Characters
Anyone can simply upload a selfie to the ‘Selfie 2 Waifu’ website to create their own AI-generated waifu-style anime character in seconds.
OpenAI Puts CV Models Under Their Microscope
Just as biologists gain insights into organisms by putting model specimens under their microscopes, AI Microscope was designed to help researchers analyze the features that form inside leading CV models.
CMU, DeepMind & Google’s XTREME Benchmarks Multilingual Model Generalization Across 40 Languages
XTREME, a multi-task benchmark that evaluates cross-lingual generalization capabilities of multilingual representations across 40 languages and nine tasks.
Hi-Res Image-To-Image Daytime Translation Without Labels
In a bid to generate high-resolution images showing realistic daytime changes while keeping accurate scene semantics, researchers have proposed a novel image-to-image translation model, HiDT (High Resolution Daytime Translation).
‘Active Neural Slam’ Uses Classical and Learning Approaches to Explore 3D Spaces
Researchers have introduced Active Neural SLAM, a modular and hierarchical approach to learning policies for exploring 3D environments.
New NVIDIA and Heidelberg University Viewpoint Estimation Technique Learns From Unlabelled Images
A team of researchers from NVIDIA and Heidelberg University recently introduced an open-source self-supervised learning technique for viewpoint estimation of general objects that draws on such freely available Internet images.
AI Transforms RGB-D Images Into an Impressive 3D Format
Researchers from Virginia Tech, National Tsing Hua University and Facebook have introduced a game-changing algorithm that generates impressive 3D photos from a single RGB-D (colour and depth) image.
AI-Powered Digital People
Synced has identified some interesting AI-powered virtual humans to introduce to our readers.
It’s Time to Improve the Scientific Paper Review Process – But How?
In recent years however peer review processes have come under fire - especially from the machine learning community - with complaints of long delays, inconsistent standards and unqualified reviewers.
Use the Force! AI Predicts Human-Object Contact Points and Forces From Video
In a new study, researchers use a physics simulator to learn to predict physical forces in videos of humans interacting with objects.
Deep Fashion3D: Dataset & Benchmark for Virtual Clothing Try-On and More
Deep Fashion3D contains 2,078 3D garment models reconstructed from real-world garments in 10 different clothing categories.
Improving Image Matching: New Open-Source Benchmark with 30K Images
The new benchmark for wide-baseline image matching includes a 30k image dataset with depth maps and accurate pose information.
Facebook AI RegNet Models Outperform EfficientNet Models, Run 5x Faster on GPUs
Researchers from Facebook AI introduce a novel low-dimensional design space, RegNet, which produces simple, fast and versatile networks.
DarwinAI Open-Sources COVID-Net as Medical Imaging in COVID-19 Diagnosis Debate Continues
Researchers recently developed and open-sourced COVID-Net, a convolutional neural network for detecting COVID-19 through chest radiography.
Fei-Fei Li Proposes AI-Assisted Elder Care Solution at Stanford-Hosted Virtual Conference on COVID‑19 and AI
Fei-Fei Li, Stanford computer science professor and co-director of Stanford’s Human-Centered AI Institute (HAI), shared her thoughts on possible AI technologies that could help care for the seniors during the coronavirus pandemic
Google DeepMind ‘Agent 57’ Beats Human Baselines Across Atari Games Suite
Agent57 is the first deep reinforcement learning (RL) agent to top human baseline scores on all games in the Atari57 test set.
Synced Machine Intelligence Awards Recognize Innovation: 50 Industry Leaders and 60 Solutions
The Synced Machine Intelligence Awards 2019 focus is on “the power of industry,” and the selection process keyed in on AI products, application cases and industry landings, with choices based on verifiable industry performance.
New Fujitsu & Inria Tech Automatically Builds Anomaly-Detecting AI Models
Fujitsu has collaborated with Inria to develop a new technology that can automatically create AI models that detect anomalies by extracting the necessary information from time-series data.
Covid-Sanity Interface Elegantly and Efficiently Organizes Web COVID-19 Papers
Covid-Sanity, a web interface designed to navigate the flood of bioRxiv and medRxiv COVID-19 papers and make the research within more searchable and sortable.
Women in AI | Chelsea Finn: ‘I Certainly Feel Like a Minority’
As part of the Women in AI special project, Synced spoke with Chelsea Finn, an assistant professor in Computer Science and Electrical Engineering at Stanford University.
Westlake University Researchers Show How SARS-CoV-2 Binds to Human Cells
Respected journal Science Magazine has published COVID-19 research that identifies the viral entry attachment stage for the new coronavirus.
‘Front2Back’ AI Reconstructs 3D Shapes from 2D Images
Their proposed framework outperforms state-of-the-art approaches for 3D reconstructions from 2D and 2.5D data, achieving 12 percent better performance on average in the ShapeNet benchmark dataset and up to 19 percent for certain classes of objects.
UN, WHO & Mila Map the AI vs COVID-19 Battlefield
Researchers looks at current studies that are using AI to tackle the COVID-19 crisis and suggests some promising future research directions.
AI Deciphers Persian Cuneiform Tablets from 25 Centuries Ago
Researchers from the University of Chicago Oriental Institute (OI) and the Department of Computer Science have introduced an artificial intelligence tool called DeepScribe designed to read cuneiform tablets from 25 centuries ago.
Novel Hybrid Continual Learning Algorithm Counters Agent Forgetfulness
Researchers have introduced a novel hybrid continual learning algorithm, Adversarial Continual Learning, which aims to enable the persistent explicit or implicit replay of experiences by storing original samples
New Compression Method Enables Conditional GANs on Edge Devices
A research team from MIT, Adobe Research, and Shanghai Jiao Tong University have introduced a novel method for reducing the cost and size of Conditional GAN generators.
Google Introduces Neuroevolution for Self-Interpretable Agents
Researchers from Google Brain Tokyo and Google Japan have proposed a novel approach that helps guide reinforcement learning (RL) agents to what’s important in vision-based tasks.
Impact of ImageNet Model Selection on Domain Adaptation
Researchers investigate how different ImageNet models affect transfer accuracy on domain adaptation problems.
Google Brain Open-Sources EfficientDet: SOTA Performance, 28x Fewer Flops
Google Brain announced this week that it is open-sourcing its object detector EfficientDet, which achieves SOTA performance while requiring significantly less compute.
Folding@Home: How Your PC Can Help in the Fight Against COVID-19
The new goal of the Folding@home project is modelling the structure of SARS-CoV-2 spike protein to identify sites that can be targeted by a therapeutic antibody.
2019 Turing Award Honours Computer Graphics Pioneers Hanrahan and Catmull
The Association for Computing Machinery (ACM) this morning announced Patrick M. (Pat) Hanrahan and Edwin E. (Ed) Catmull as its 2019 Turing Award winners.
AI CT Scan Analysis for COVID-19 Detection and Patient Monitoring
A research team has proposed non-contrast thoracic chest CT scans as an effective tool for detecting, quantifying, and tracking COVID-19.
‘Semantic Generation Pyramid’ for Image Generation and Manipulation
Researchers have proposed a new image generative model that leverages the hierarchical space of deep features learned by pretrained classification networks and provides a unified and versatile framework for image generation and manipulation tasks.
White House & Partners Launch COVID-19 AI Open Research Dataset Challenge on Kaggle
The White House on Monday joined a number of research groups to announce the release of the COVID-19 Open Research Dataset (CORD-19) of scholarly literature about COVID-19, SARS-CoV-2, and the Coronavirus group.
Learning From the 1854 Cholera Outbreak: Tracking and Containing COVID-19 Using AI Spatiotemporal Analysis
“In epidemiology analysis, the relationship between people in space and time is very important,” explains Bao Jie, head of the JD Group city data management platform, “and human activity trajectories are a typical form of spatiotemporal data.”
BERTLang Helps Researchers Choose Between BERT Models
Researchers from Bocconi University have prepared an online overview of the commonalities and differences between language-specific BERT models and mBERT.