Synced Tradition and Machine Learning Series | Part 1: Entropy
This is the first in a special Synced series of introductory articles on traditionally theoretical fields of studies and their impact on modern day machine learning.
Tag: Computer Science
Do We Really Need Green Screens for High-Quality Real-Time Human Matting?
Researchers from the City University of Hong Kong and SenseTime propose a lightweight matting objective decomposition network (MODNet) that can smoothly process real-time human matting from a single input image with diverse and dynamic backgrounds.
Google, Heidelberg University & NEC Propose Human Feedback for Real-World RL in NLP Systems
A new study proposes using human feedback and interaction logs to boost offline reinforcement learning (RL) in natural language processing (NLP).
Google, OpenAI & DeepMind: Shared Task Behaviour Priors Can Boost RL and Generalization
In a new paper, researchers from Google, OpenAI, and DeepMind introduce “behaviour priors,” a framework designed to capture common movement and interaction patterns that are shared across a set of related tasks or contexts.
SJTU’s MedMNIST Classification Decathlon: Lightweight AutoML Benchmarking for Medical Image Analysis
A team of researchers from Shanghai Jiao Tong University (SJTU) has built a lightweight benchmark suite designed to help make life-saving models of medical image analysis even stronger.
Computer-aided Systems May Speed up New Anticancer Drug Development
Researchers analyzed different subareas of CADD process with a focus on anticancer drugs.
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
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.
Advancing Safety & Privacy for Trustworthy AI Inference Systems
Researchers from academia and industry offer input on the design, deployment, and operation of trustworthy AI inference systems.
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.
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.
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.
SIGKDD Community Impact Program Opens Call for Proposals
SIGKDD is announcing a funding opportunity through its Community Impact Program.
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.
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.
Stephen Wolfram: The Path to a Fundamental Theory of Physics May Begin With a Hypergraph
Wolfram announced this week that he may have found a path that leads to a fundamental theory of physics, and that it is “beautiful.”
2019 Turing Award Honours Computer Graphics Pioneers Hanrahan and Catmull
The Association for Computing Machinery (ACM) this morning announced Patrick M. (Pat) Hanrahan and Edwin E. (Ed) Catmull as its 2019 Turing Award winners.
CMU Senior Develops World’s First Classical Chinese Programming Language
Carnegie Mellon University computer science major Lingdong Huang has developed ‘Wenyan-Lang,’ a programming language based on Chinese hanzi characters and the wenyan classical Chinese grammar system.
R.I.P. Python 2: October 16, 2000 – January 1, 2020
In an official statement released today on python.org, the volunteer team that manages the programming language announced they will sunset Python 2 on January 1, 2020.
‘Snip’ Converts Math Screenshots Into LaTeX
A new math tool called “Snip” is creating a buzz on Twitter. Thousands of netizens are sharing the tool, which is being heralded as a “life changer” for scientific writing.
MIT Is Opening a $1Bn AI College
The Massachusetts Institute of Technology (MIT) today announced they will invest US$1 billion into a new college for artificial intelligence. The MIT Stephen A. Schwarzman College of Computing will “constitute both a global center for computing research and education, and an intellectual foundry for powerful new AI tools.”
Pedro Domingos Will Lead New D.E. Shaw Machine Learning Group
New York-based investment corporate D. E. Shaw Group yesterday announced that esteemed University of Washington Professor of Computer Science Pedro Domingos will join the firm as a Managing Director and lead its new Machine Learning Research Group.
Google Boosting its AI Research in Tokyo
Google is looking to expand its AI research activities in the Japanese capital. The company’s deep learning and AI research team Google Brain yesterday posted a “Tokyo job listing seeking talented experts to participate in cutting edge research on machine learning”.
Tomaso Poggio on Deep Learning Representation, Optimization, and Generalization
While Poggio the teacher has taught some extraordinary leaders in AI, Poggio the scientist is renowned for his theory of deep learning, presented in papers with self-explanatory names: Theory of Deep Learning I, II and III.
2017 Turing Award Goes to Computer Chip Pioneers
The Association for Computing Machinery (ACM) today announced John L. Hennessy, former Stanford University President and Chairman of the Board of Alphabet; and David A. Patterson, retired Professor at University of California, Berkeley, as winners of the 2017 Turing Award for their groundbreaking approach to computer architecture design and evaluation.