ICCV 2021 Best Papers Announced
On October 13, ICCV 2021 announced its Best Paper Awards, honourable mentions, and Best Student Paper.
AI Technology & Industry Review
Global AI community updates.
On October 13, ICCV 2021 announced its Best Paper Awards, honourable mentions, and Best Student Paper.
A new BibTeX-normalizing tool dubbed Rebiber is gaining popularity in the AI research community. The creation of a PhD student, Rebiber addresses incomplete or confusing paper citation information.
Recent footage shows agricultural robot co-developed by National Research Institute Agricultural Research Organization, Ritsumeikan University, and automobile parts manufacturer Denso harvesting apples in Japan’s orchards.
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.
OpenAI’s 175 billion parameter language model GPT-3 has gone viral once again.
Genderify is an AI-powered tool designed to identify a person’s gender by analyzing their name, username or email address.
Researchers developed a novel deep learning method that reconstructs PET images using a cascading back-projection neural network (bpNet).
Researchers revealed a circuit mechanism, in which BNST modulated the NAc, exerting a direct effect on anxiety.
The post highlights perceived peer-review problems, the reproducibility crisis, and ethics and diversity issues.
Researchers from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences and their collaborators from Beihang University developed a novel vision-based algorithm to track the 6-DOF pose of a multi-rigid-body spacecraft in real time.
Researchers have addressed the challenge of comprehensive, dynamic manipulation of particles and cells in a microchannel by integrating acoustofluidics, physics and fabrication of phononic crystals on the microscale.
A research group from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences has developed a “smart” contact lens that can show real-time changes in moisture and pressure by altering colors.
Cruciform Thin-film Microrobot (CTM) could realize double-modal motion and environmental adaptive functions through a programmable external magnetic field.
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.
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.
The world’s biggest technical professional organization, the Institute of Electrical and Electronics Engineers (IEEE) issued a statement on May 22 that forbids its colleagues from Huawei and 68 of its affiliates from reviewing or accessing non-public papers submitted by other persons for publications.
Synced surveyed a number of 2019 AI residency programs that may be of interest to readers.
An AI-powered loan forecasting solution developed by Ryan Chen and Yupeng Zheng (Team Boston Power) topped the field at this year’s JDD (JD.com Discovery) 2017 Global Data Challenge, winning the first prize of US$45,000.
On November 6, JD Finance will launch the first JDD-2017 Global Data Challenge. Yes, we want you on board!
Toronto’s Vector Institute announced today that it is adding 10 new faculty members, effectively doubling its size.
Before TensorFlow, PyTorch and Caffe; Theano was the major library for deep learning development. However, the library’s development and support will end after the upcoming Theano 1.0 release.
The AI Frontiers Conference will be held in Nov in Santa Clara Convention Center.
This October, Ant Financial and Synced are co-hosting the ATEC Developer Creativity Challenge for developers to showcase creativity using Alipay Mini-program.
Some experts from different fields stated their concerns that with the rapid rise of artificial intelligence in the next few decades, intelligent robots would take over the human world and extinguish the entire human culture.
International Joint Conference on Artificial Intelligence (IJCAI) 2017 will be held in Melbourne, Australia from August 19 to August 25, summoning top researchers from around the world.
Synced sat down with Christopher Fabian, the co-founder of UNICEF’s for-profit Innovation Fund, in Geneva, where he took us through the Innovation Fund’s innovative mandate.
In his blog post “How Data Science Apply to Robotics” on Data Science Central, Dr. Ammar A. Raja points out that there are two major problems scientists have encountered while applying data science to robotics.
From LSTM deep learning technique to self-learning humanoid robot, Jürgen Schmidhuber’s research teams have won awards in various machine learning competitions, including medical image recognition.
On June 23-24, the first Global Artificial Intelligence Hackathon took place in Toronto at University of Toronto, alongside 14 otherContinue Reading
1000 Plan Startup Contest is going to hit Silicon Valley on June 10. As one of the most influential US-ChinaContinue Reading
RE•WORK is one of the top global Machine Intelligence industry conference/summit organizers. The aim of Rework: Combining entrepreneurship, technology & science to re-work the future.
With just one day remaining before the GMIS 2017 kicks off in Beijing, we’ll survey the industry applications of AI technologies.
For more than 2,500 years, humans have been playing and studying the incredibly complex game of Go. In a matter of months, AI learned how to do it better.
“There is going to be a revolution that’s 100 times the size of the mobile revolution,” claimed Saman Farid fromContinue Reading
On May 27-28, SYNCED will host the Global Machine Intelligence Summit 2017 (GMIS) at 898 Innospace in Beijing. This isContinue Reading
“We want to be able to train a machine learning model, like Google Translate, in a few hours,” said Prof. Hwu. Best known for enabling the parallelism capability of the GPU to solve scientific problems like AI.
AI companies require accurate data for specialized applications, and seemingly little things such as labelling and tagging demand accuracy. At present, only humans are up for the task.
Andrew Ng – former Baidu Chief Scientist, Coursera co-founder, and Stanford Adjunct Professor – gave a talk at the Stanford MSx Future Forum.
Dr. Eisaku Maeda, the director of NTT Communication Science Laboratories, was recently interviewed by The Huffington Post, sharing his opinions on AI.
Pittsburgh, “Silicon Valley of the East”, captures the attention of tech giants, talents and investors for the progressive movements in advanced technology and innovation.