Physical Distancing Boosts AI-Powered Online Education in China
Many artificial intelligent education institutions are offering free online courses and accounts to students.
Author: Synced
Machine Intelligence | Technology & Industry | Information & Analysis
‘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.
WFH Parents: Here’s an AI Toybox for Your Kids!
Synced looked into smart solutions that could help keep kids engaged and entertained, and might even be educational.
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.
China’s Autonomous Delivery Vehicles Navigate the Coronavirus Outbreak
In autonomous food and medicine delivery and beyond, the increasingly mature AI industry is actively engaged in countering the COVID-19 outbreak.
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.”
Beijing Self-Driving Vehicle Road Tests Topped One Million Km in 2019
A recent report suggests China has picked up speed, with Beijing emerging as a new self-driving vehicle hot spot.
Exploring Gender Imbalance in AI: Numbers, Trends, and Discussions
Women currently make up 24.4% of the computer science workforce and receive median salaries that are only 66% of the salaries of their male counterparts.
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.
Beyond Lipreading: Visual Speech Recognition Looks You in the Eye
A new study suggests that VSR models could perform even better if they used additional available visual information.
Chinese Researchers Use CNNs to Classify 3000-Year-Old Oracle Bone Scripts
The earliest evidence of China’s recorded history is found in the Shang dynasty (~1600 to 1046 BC), and this hasContinue Reading
Synthesized Paired Data Boosts Facial Manipulation
The model outperforms existing methods in image manipulation and offers researchers a possible solution to the scarcity of paired datasets.
ICLR 2020 Cancelled Over Coronavirus; Virtual Conference Arranged
Organizers announced today that the COVID-19 outbreak and associated travel restrictions have forced the cancellation of the “physical conference” ofContinue Reading
Augmented Training Scheme Fixes CNN Texture Bias
Researchers proposed a new training scheme that targets this bias by controlling and exposing textural information slowly through the training process.
‘Train Large, Then Compress’ – UC Berkeley BAIR Improves Large Transformer Model Training and Inference
Researchers from the Berkeley Artificial Intelligence Research (BAIR) Lab at UC Berkeley explored the effect of Transformer model size on training and inference efficiency.
AutoCompress: SOTA Automatic DNN Pruning for Ultra-High Compression Rates
Researchers proposed an automatic structured pruning framework, AutoCompress, which adopts the 2018 ADMM-based weight pruning algorithm and outperforms previous automatic model compression methods while maintaining high accuracy.
Google DeepMind Releases Structure Predictions for Coronavirus Linked Proteins
DeepMind released the structure predictions for six proteins associated with SARS-CoV-2, the virus that causes COVID-19, using the most up-to-date version of their AlphaFold system.
100M Masks/Day: Automated Production Lines Work Overtime to Stop COVID-19 Spread
Pushed by the coronavirus outbreak, in early March 2020 China’s face mask production hit 110 percent capacity, with daily output exceeding 100 million masks according to state agency statistics.
AI-Based Drug Discovery Pipeline Generates Novel Drug Compounds against Coronavirus
A new study leverages an established AI-based drug discovery pipeline to produce molecular structures as part of the widening fight against the 2019-nCoV outbreak.
Yoshua Bengio and Team Introduce GNN Benchmarking Framework
Researchers propose a flexible GNN benchmarking framework that can also accommodate the needs of researchers to add new datasets and models.
Former Microsoft AI Head Harry Shum Returns to Academia, Takes New Position With Tsinghua University
Shum will speak at China’s Tsinghua University in Beijing, where he will formally assume a Dual-Professorship position with the prestigious school’s Institute for Advanced Study.
Spotting Generated Images Just Got Much Easier
UC Berkeley and Adobe Research have introduced a “universal” detector that can distinguish real images from generated images regardless of what architectures and/or datasets were used for training.
CookGAN Generates Realistic Meal Images From an Ingredients List
Proposed by researchers from the Rutgers University and Samsung AI Center in the UK, CookGAN uses an attention-based ingredients-image association model to condition a generative neural network tasked with synthesizing meal images.
KaoKore: New Facial Dataset from Japanese Scrolls for ML
The KaoKore dataset includes 5552 RGB image files drawn from the 2018 Collection of Facial Expressions dataset of cropped face images from Japanese artworks.
CVPR 2020 Proceeding as Planned; Record 1470 Papers Accepted
The paper acceptance rate fell to approximately 22 percent from 25 percent in 2019 and 29.6 percent in 2018.
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Researchers propose a novel model compression approach to effectively compress BERT by progressive module replacing.
Robot Lovers Rejoice! Fei-Fei Li Stanford Team Crowd-Sources World’s Largest Robot Manipulation Dataset
The crowdsourcing produced 111.25 hours of video from 54 non-expert demonstrators to build “one of the largest, richest, and most diverse robot manipulation datasets ever collected using human creativity and dexterity.”
Leap in Second-Order Optimization: Shampoo Runtime Boosted 40%
A Google-led research team has introduced a new method for optimizing neural network parameters that is faster than all common first-order methods on complex problems.
AI Enables Doctors to Diagnose COVID-19 Infection in Seconds
Fast and accurate diagnosis is critical on the front line, and now an AI-powered diagnostic assessment system is helping Hubei medical teams do just that.