AI Technology & Industry Review
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.
Trump announced the 2021 fiscal year budget proposal on Monday, further flashing the budget for federally funded research projects, whereas research budgets of major scientific institutions have experienced double-digit cuts.
However, as Reddit users pointed out, the conference title is an acronym for International Conference on Robotics and Applications, which is one-word slip from the well-known top IEEE ICRA – International Conference on Robotics and Automation.
Researchers argue that “attention mechanism is the update rule of a modern Hopfield network with continuous states.”
The proposed algorithm is approximately 180 times faster than an automated random search of the parameter space.
Researchers from Stanford University, UC Berkeley and CMU review neuromechanical simulations and DRL, with a focus on modelling the control of human locomotion.
Researchers developed a head-neck combined HR-MRVWI technique that could potentially provide remarkable suppression of cerebrospinal fluid signals.
University of Zurich and ETH Zurich’s deep reinforcement learning agents have achieved superhuman performance in the time trials of popular racing simulator game Gran Turismo Sport.
Swiss air purification systems manufacturer aeris completed its series A funding of US$ 3.3 million.
Elon Musk tweeted that Tesla is recruiting AI or chip talents for the company’s neural network training supercomputer project “Dojo.”
DeepMind and McGill University researchers believe the problem could be solved through a strategic “divide-and-conquer” approach.
Bengio and researchers from Université de Montréal and the École Normale Supérieure in Paris have introduced a new curriculum learning algorithm based on the notion of mastering rate.
Google Research released a paper tackling this issue with a new open-source analytic platform: the Language Interpretability Tool (LIT).
Industry and Information Technology Bureau of Shenzhen Municipality announced that as of August 14, Shenzhen had built 46,480 5G base stations.
On August 15th, Elon Musk tweeted that Tesla is recruiting AI or chip talents for a neural network training computer project named “Dojo”.
Talks, panels and papers dedicated to addressing social inequities and improving inclusivity in data science and artificial intelligence
To adapt conventional deep models to real scenarios, a research work carried by a team (XPixel) from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences investigated the use of additional branches to tune imagery effects.
Researchers from academia and industry offer input on the design, deployment, and operation of trustworthy AI inference systems.
Germany announced that it has setup a federal agency to combat cyber threats and safeguard the country’s digital sovereignty.
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has opened for admission for the first academic year commencing in January 2021.
New Prizes Recognize Innovation, Service, Rising Stars and Enduring Research Papers Ahead of the 26th Annual Conference.
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.
Huawei’s Wuhan Research Institute has established a LiDAR research team aimed to produce 100m/200m ranging products at the cost of US$500 and lower.
Researchers dive deep into the large language model to discover how it encodes the structured commonsense knowledge it leverages on downstream commonsense tasks.
Researchers proposed a novel and effective automatic segmentation method by using Generative Adversarial Networks with dual discriminators.
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.
The UK government is investing approximately £200m over the next four years in public sector AI procurement, which facilitates the purchase of a wide range of AI services from various suppliers.
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).
US President Donald Trump released two executive orders to ban the Chinese messaging app WeChat.
Huawei states that as of July this year, 92 5G commercial networks have been deployed worldwide and China owns the most 5G spectrum and physical sites.
Japanese electronics giant Toshiba announced the investment of US$321 million to set up a new AI centre.
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.