AI Technology & Industry Review
Global machine intelligence updates.
This paper is the first to systematically study the security of Multi-Sensor Fusion (MSF) based localization in high-autonomy Autonomous Vehicles (AVs). Researchers design FusionRipper, a novel and general attack that opportunistically captures and exploits take-over vulnerabilities.
Researchers from Drexel University, Northeastern University and IT University Copenhagen explore how humans interact with AI in such contexts, with a focus on computer games.
In a new paper, Stanford University researchers dispel the assumption that boosting deep learning model performance on ImageNet translates to better performance on medical imaging tasks.
Synced invited Dr. Linchao Zhu, a lecturer at the ReLER lab, University of Technology Sydney whose works focus on video representation learning, to share his thoughts on the paper Text-to-Image Generation Grounded by Fine-Grained User Attention.
According to reports on January 20, South Korea’s Gwangju is adopting integrated AI technology to help with city governance.
On January 18, in efforts to understand and manage extreme weather events, McGill University announced a new interdisciplinary project to combine deep learning (DL) with social network analysis (SNA).
A Nepalese machine learning (ML) researcher has introduced a handy browser extension that lets users directly access videos related to research papers published on the popular preprint platform arXiv.
Kuzi is using satellite data, soil sensor data, ground meteorological observation and machine learning technology trained on predict the locusts’ breeding, appearance and migration routes.
Researchers from the City University of Hong Kong and SenseTime propose a lightweight matting objective decomposition network (MODNet) that can smoothly process real-time human matting from a single input image with diverse and dynamic backgrounds.
A new study proposes using human feedback and interaction logs to boost offline reinforcement learning (RL) in natural language processing (NLP).
Shenzhen launched the construction of the Automatic Testing Center for Metro Center which is scheduled to be put into operation in June 2021.
ABB announced an investment of RMB 1 billion to build a new robot super factory in Shanghai, which began construction in 2019.
MIT, UChicago, Harvard and Diffeo *Bayesian Delegation* multi-agent learning mechanism enables agents to coordinate behaviour on the fly
DeepMind and Universidade de Lisboa introduce graph-based toolkit for analyzing and comparing multiplayer games
A new AI Expert Roadmap developed by German software company AMAI is garnering keen interest from aspiring AI professionals around the world.
Cornell and Facebook AI “Correct and Smooth” high-accuracy graph learning method is fast to train and outperforms big Graph Neural Network (GNN) models
In a new paper, researchers from Google, OpenAI, and DeepMind introduce “behaviour priors,” a framework designed to capture common movement and interaction patterns that are shared across a set of related tasks or contexts.
A team of researchers from Shanghai Jiao Tong University (SJTU) has built a lightweight benchmark suite designed to help make life-saving models of medical image analysis even stronger.
NeurIPS 2020 Institute of Automation CAS and Microsoft Research Asia paper presents an attention-based decoder that integrates CV object representations
Facebook researchers introduced a new research platform for dynamic data collection and benchmarking called Dynabench, which will offer a more accurate and sustainable way for evaluating progress in AI.
On September 13th, NVIDIA announced the acquisition of UK-based semiconductor startup ARM for US$40 billion, unveiling the largest acquisition dealContinue Reading
Facebook has introduced a model that turns common two-dimensional pictures into 3D photos.
Jingxiong highway, a highway with designated lanes for unmanned vehicles, is expected to be completed by the end of this year and open to traffic in June 2021.
On August 28, China’s Ministry of Commerce and Ministry of Science and Technology released the new updated version of the Catalogue of Technologies Prohibited and Restricted from Export.
Last Wednesday, Elon Musk caught the AI community’s attention with a tweet announcing an upcoming “Live webcast of working @Neuralink device…” On Friday, the billionaire tech entrepreneur delivered. With pigs.
The 16th European Conference on Computer Vision (ECCV) kicked off on Sunday as a fully online conference. In the Conference Opening Session this morning, the ECCV organizing committee announced the conference’s paper submission stats and Best Paper selections.
Researchers from The Chinese University of Hong Kong, Facebook Reality Labs, and Facebook AI Research have unveiled a state-of-the-art monocular 3D hand motion capture method, FrankMocap, which can estimate both 3D hand and body motions from in-the-wild monocular inputs with faster speed and better accuracy than previous approaches.
A Stanford University research team has responded with an AI-powered model capable of realistically simulating a Wimbledon final and more.
The NeurIPS 2020 paper reviews were sent out last Friday, starting the author response phase.
Researchers dive deep into the large language model to discover how it encodes the structured commonsense knowledge it leverages on downstream commonsense tasks.
HoliCity, a city-scale dataset and all-in-one data platform for research into learning abstracted high-level holistic 3D structures derived from city CAD (computer-aided design) models.
Google researchers have introduced a series of extensions to the SOTA view-synthesis method Neural Radiance Fields (NeRF) that enable it to produce high-quality 3D representations of complex scenes with only unstructured image collections as input.
Thanks to the rapid development of artificial intelligence (AI) techniques and Internet of things (IoT) devices, many additional functions have been added to make the parent-pet connection stronger.
Open-source library for machine learning now gives the ability to evaluate which hyperparameters most affect performance.
MediaPipe Iris, a novel machine learning model designed to deliver accurate iris estimation without using depth sensors.
Researchers from Penta-AI and Tel-Aviv University introduce a generic image-to-image translation framework dubbed Pixel2Style2Pixel (pSp).
Researchers introduced an ensemble-based deep learning pipeline to automatically assess the distal radius and ulna (DRU) maturity from left-hand radiographs.
ArXiv announced that all of its research papers are now available on Kaggle.
Researchers conducted a thorough empirical study of hyperparameter selection for offline RL, aiming to identify and develop more reliable and effective approaches.
“Unselfie,” a novel photographic transformation model that can automatically translate selfies into neutral-pose portraits.