New LaTeX.CSS Library Enables Websites to Look Like LaTeX Docs
Zurich-based student and aspiring full-stack software engineer Vincent Dörig has taken LaTeX to the website level with his GitHub project LaTeX.css.
Category: Research
Technical review of the newest machine intelligence research.
NVIDIA’s GameGAN Uses AI to Recreate Pac-Man and Other Game Environments
GameGAN, a generative model that learns to visually imitate video game environments by ingesting screenplay and keyboard actions during training.
Breakthrough Colourization Technique Enables Instance-Aware Treatment of Multiple Objects
The research team proposes that colourization performance can be improved dramatically at the instance level for a few reasons.
Tsinghua & UC Berkeley | A New Meta-Baseline for Few-Shot Learning
A new simple baseline for few-shot learning that achieves state-of-the-art performance.
ICLR 2020 | A Look at Three Interesting Papers on the Robustness of Neural Networks
A look at three ICLR papers to look at that fall under the topic of robustness
Researchers Discover Near-Ideal Photon Sources in Silicon Quantum Photonics
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.
Cross-domain Correspondence Learning for Exemplar-based Image Translation
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.
Neural Network AI is the Future of the Translation Industry
Recent advances in deep learning, also known as using neural machine learning, has proven to achieve state of the art results in machine translation.
ACL 2020 Announces Its 779 Accepted Papers
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 Introduces ‘Meta-Dataset’ Benchmark for Few-Shot Learning
Google AI researchers introduce Meta-Dataset, a large-scale and diverse benchmark for measuring the ability of few-shot classification models.
Facebook’s Highly Efficient New Real-Time Text-To-Speech System Runs on CPUs
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.
Bringing Old Photos Back to Life
The proposed method outperforms supervised methods and unsupervised translation methods on restoring real photos.
Self-Supervised ‘Plan2Explore’ RL Agent Achieves SOTA Zero-Shot and Adaptation Performance
Enter Plan2Explore — a self-supervised RL agent designed to quickly generalize to unseen tasks in a zero or few-shot manner.
Google ‘Data Echoing’ Accelerates Neural Network Training
A “data echoing” technique that enables these time-consuming upstream training stages to also benefit from accelerators.
Nifty Online Tool Animates Your Actions in Real Time
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.
Google Brain’s DRL Helps Robots ‘Think While Moving’
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.
New Baidu Algorithms Boost mRNA Vaccine Development for SARS-COV-2
LinearDesign, an efficient algorithm for optimized mRNA sequence design.
Cooperation Instead of Competition: Harvard & Microsoft Research Optimizes AI-Human Teamwork
A new paper explores the potentially richer optimizations that could result from a spirit of human-machine teamwork built on complementarity.
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
This paper proposes a novel graph-constrained generative adversarial network, whose generator and discriminator are built upon relational architecture.
GitHub Announces ‘Codespaces’ for In-Browser Coding
Codespaces is an in-browser integrated development environment (IDE) that lets users type their code directly on a GitHub website page.
AI2 & UW Researchers Propose ‘TL;DR’ Paper Summarization Task
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.
Epic-Kitchens | Largest Egocentric Video Dataset Gets New Baselines
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.
New TTNet Table Tennis Model Accelerates DL in Sports Analysis
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 | Virtual Conference Openly Available Online; No Best Paper Awards This Year
ICLR 2020 accepted 687 out of 2,594 papers and drew over 5,600 participants from nearly 90 countries.
Consistent Video Depth Estimation: Generating HQ Depth Maps From Single Video Input
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.
Facebook Says Its ‘Blender’ Chatbot Is the Most Humanlike Ever
This is the first chatbot to blend a diverse set of conversational skills — including empathy, knowledge, and personality — together in one system.
VidPress: Baidu’s New AI Tool Creating Videos from a URL with One-Click
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.
AI21 Labs Asks: How Much Does It Cost to Train NLP Models?
How much is this going to cost? And what are the main factors affecting that price tag?
Samsung AI Uses WiFi Signals to Generate Consistent In-Home User Localization Data
In a recent paper, Chen and his colleagues with the Samsung AI Center utilized the WiFi signals to establish a submeter-level localization system that employs WiFi propagation characteristics as users’ location fingerprints.
Algorithms, Islands & Nook Miles: AI Workshop Will Be Held in ‘Animal Crossing’
Yesterday in the r/MachineLearning subreddit, a lighthearted announcement appeared from the “Animal Crossing Artificial Intelligence Workshop (ACAI)”calling for abstracts.
Clova AI Releases StarGAN v2 Code, Pretrained Models and Datasets
South Korea’s Naver Clova AI Research is one of the institutions behind the unsupervised generative network U-GAT-IT. The tech hasContinue Reading
New Study Tracks NLP Development and Direction Through a ‘World Scope’
Researchers “posit that the universes of knowledge and experience available to NLP models can be defined by successively larger world scopes: from a single corpus to a fully embodied and social context.”
YOLO Is Back! Version 4 Boasts Improved Speed and Accuracy
YOLOv4 is twice as fast as EfficientDet with comparable performance.
Turing Award | A Closer Look Into Edwin Catmull’s PhD Thesis
In this article, we take a look at Edwin Catmull’s doctoral dissertation published in 1974, which laid the groundwork for 3D computer graphics.
Amazon Introduces ResNeSt: Strong, Split-Attention Networks
The latest ResNet improvement comes courtesy researchers from Amazon and UC Davis, who unveiled their Split-Attention Networks, ResNeSt.
Who Invented Backpropagation? Hinton Says He Didn’t, but His Work Made It Popular
Hinton, University Professor Emeritus at the University of Toronto, responded on Reddit, “I have never claimed that I invented backpropagation.
New Hinton Nature Paper Revisits Backpropagation, Offers Insights for Understanding Learning in the Cortex
Turing awardee and backpropagation pioneer Geoffrey Hinton recently co-authored a paper that takes a look back at backpropagation and explores its potential to contribute to understanding how the human cortex learns.
Google & DeepMind Unify Normalization and Activation Layers, Discover ‘EvoNorms’
Researchers unify DNN normalization layers and activation functions into a single computation graph.
PyTorch 1.5 Released: New APIs, Updated C++ Frontend and More
The PyTorch Team yesterday announced the release of PyTorch 1.5, along with new and updated libraries.
IJCAI – PRICAI 2020 | Papers Announced; Record Low 12.6% Acceptance Rate
The accepted papers have been announced for IJCAI – PRICAI 2020.