AI Technology & Industry Review
Technical review of the newest machine intelligence research.
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.
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.
OpenAI announced the upgraded GPT-3 with a whopping 175 billion parameters.
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.
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.
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.
The proposed method outperforms supervised methods and unsupervised translation methods on restoring real photos.
Enter Plan2Explore — a self-supervised RL agent designed to quickly generalize to unseen tasks in a zero or few-shot manner.
A “data echoing” technique that enables these time-consuming upstream training stages to also benefit from accelerators.
The delightful program can animate a 2D avatar in real-time from a webcam video stream input and has garnered 3,700 GitHub stars since its release.
The proposed concurrent DRL algorithm enables robots to take a broader and more long-term view of tasks and behaviours, and decide on their next action before the current one is completed.
LinearDesign, an efficient algorithm for optimized mRNA sequence design.
A new paper explores the potentially richer optimizations that could result from a spirit of human-machine teamwork built on complementarity.
This paper proposes a novel graph-constrained generative adversarial network, whose generator and discriminator are built upon relational architecture.
Codespaces is an in-browser integrated development environment (IDE) that lets users type their code directly on a GitHub website page.
A team from the Allen Institute for Artificial Intelligence and the University of Washington this week introduced TLDR generation, a new automatic summarization task for scientific papers.
Researchers from the University of Bristol, the University of Toronto and the University of Catania explain how they created Epic-Kitchens and introduce new baselines that emphasize the multimodal nature of the largest such egocentric video benchmark.
A team of researchers from Russian AI startup OSAI recently introduced the real-time neural network TTNet, designed for processing high-resolution table tennis videos with both temporal and spatial data.
ICLR 2020 accepted 687 out of 2,594 papers and drew over 5,600 participants from nearly 90 countries.
Researchers from the University of Washington, Virginia Tech and Facebook have introduced an algorithm that can reconstruct dense, geometrically consistent depth for all pixels in monocular videos.
This is the first chatbot to blend a diverse set of conversational skills — including empathy, knowledge, and personality — together in one system.
VidPress is an AI-powered video synthesis tool Baidu Research recently developed in an effort to churn out sleek, professional video content in one click.
How much is this going to cost? And what are the main factors affecting that price tag?