AI Technology & Industry Review
Global machine intelligence updates.
Researchers from Fudan University and Microsoft have proposed a novel seq2seq architecture that generates dance sequences for music clips running a minute or longer.
Facebook and Kaggle are facing an online backlash after the apparent winners of the Deepfake Detection Challenge (DFDC) were disqualified.
Advanced computer vision technology is supercharging virtual and augmented reality, one of the latest milestones in video game design.
A team of researchers from Facebook and UC Berkeley has proposed a new paradigm for computer vision.
Researchers from the University of Tokyo and Google Research have proposed a new metric for RL performance and novel BREMEN algorithm designed to manage the costs and risks of new policy deployment.
In a recent Google AI team blog post, researchers report on recent efforts and progress in the field of language translation, especially with resource-poor languages.
Toronto Machine Learning Society (TMLS) hosts MLOps, Production & Engineering 2020 through an interactive conference to enable attendees the opportunity to virtually engage with speakers and establish a stronger network within the AI community.
Alibaba today announced the establishment of an Intelligent Search Business Department under the Alibaba Innovation Business Group.
How AI is helping fight COVID-19?
DeepMind researchers have developed EATS, a generative model trained adversarially in an end-to-end manner that achieves performance comparable to SOTA models.
ACM SIGGRAPH has honoured MIT CSAIL postdoctoral researcher Li Tzu-Mao with its 2020 Doctoral Dissertation Award for his PhD thesis Differentiable Visual Computing.
In the seminal 1996 paper Light Field Rendering, Levoy and Hanrahan describe a representation for light fields that allows for both efficient creation and display.
A team of researchers from CMU and Technion recently introduced a new system, Penrose, that can turn complex mathematical notations into various styles of simple diagrams.
A team of researchers from the Chinese Academy of Sciences and the City University of Hong Kong has introduced a local-to-global approach that can generate lifelike human portraits from relatively rudimentary sketches.
Researchers from Katholieke Universiteit Leuven in Belgium and ETH Zürich in a recent paper propose a two-step approach for unsupervised classification.
DeepMind researchers introduce a framework that aims to solve the problem by enabling simple RL agent implementations to be run at different scales of execution.
Rather than simply treating AI as a tool to be leveraged, this approach reimagines AI as a collaborator that learns from a developer’s needs and subsequently proposes multiple design approaches with different trade-offs in order to enable a rapid and iterative approach to model building.
Today, organizers of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) announced extending the paper submission deadline by 48 hours.
23 respected machine learning researchers propose that personalized peer-to-peer contact tracing through mobile apps has the potential to shift the paradigm of Covid-19 community spread.
With AI models gaining power and momentum across a number of industries in recent years, meteorological researchers are now applying the tech in satellite data processing, nowcasting, typhoon and extreme weather forecasting and other business and environmental analytics areas.
Researchers add syntactic biases to determine whether and where they can help BERT achieve better understanding.
ACM SIGKDD Will Tap Cutting-Edge Technology to Bring Together the Leading Voices in Knowledge Discovery and Data Mining
OpenAI announced the upgraded GPT-3 with a whopping 175 billion parameters.
Facebook this week released Detection Transformers (DETR), a new approach for object detection and panoptic segmentation tasks that uses a completely different architecture than previous object detection systems.
Canadian education technology startup Korbit Technologies has introduced a personalized AI-powered learning experience that it says can help all students learn faster and better in a cost-effective way.
Google Research team proposes the automatic metric BLEURT which is based on the highly successful Google language model BERT.
Former Microsoft executive vice president of Artificial Intelligence and Research Harry Shum (Shen Xiangyang) has been appointed chairman of the board of the Silicon Valley startup News Break.
Paddle Quantum is developed based on Baidu’s deep learning platform PaddlePaddle, which has become the first and unique deep learning platform in China that supports quantum machine learning.
Zurich-based student and aspiring full-stack software engineer Vincent Dörig has taken LaTeX to the website level with his GitHub project LaTeX.css.
GameGAN, a generative model that learns to visually imitate video game environments by ingesting screenplay and keyboard actions during training.
The research team proposes that colourization performance can be improved dramatically at the instance level for a few reasons.
A new simple baseline for few-shot learning that achieves state-of-the-art performance.
A look at three ICLR papers to look at that fall under the topic of robustness
The team introduces photon sources fabricated in silicon that meet a variety of requirements for scalable quantum photonics: high purity, high heralding efficiency, and high indistinguishability.
We present a general framework for exemplar-based image translation, which synthesizes a photo-realistic image from the input in a distinct domain, given an exemplar image.
The 48-hour digital event kicked off yesterday, and the company wasted no time making impactful announcements that included a new supercomputer, a family of large AI models, and a Responsible ML on Microsoft Azure initiative.
Recent advances in deep learning, also known as using neural machine learning, has proven to achieve state of the art results in machine translation.
Organizers of the 58th annual meeting of the Association for Computational Linguistics (ACL) on Sunday announced the list of accepted papers for the world-leading natural language processing (NLP) conference.
Google AI researchers introduce Meta-Dataset, a large-scale and diverse benchmark for measuring the ability of few-shot classification models.
To deliver human-level voices to its platform’s billions of users while maintaining strict compute efficiency, Facebook AI researchers have deployed a new neural TTS system that works on CPU servers.