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.
AI Technology & Industry Review
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.
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.
A new study proposes using human feedback and interaction logs to boost offline reinforcement learning (RL) in natural language processing (NLP).
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.
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.
Researchers analyzed different subareas of CADD process with a focus on anticancer drugs.
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.
Researchers from academia and industry offer input on the design, deployment, and operation of trustworthy AI inference systems.
Zurich-based student and aspiring full-stack software engineer Vincent Dörig has taken LaTeX to the website level with his GitHub project LaTeX.css.
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.
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 is announcing a funding opportunity through its Community Impact Program.
In this article, we take a look at Edwin Catmull’s doctoral dissertation published in 1974, which laid the groundwork for 3D computer graphics.
The PyTorch Team yesterday announced the release of PyTorch 1.5, along with new and updated libraries.
Wolfram announced this week that he may have found a path that leads to a fundamental theory of physics, and that it is “beautiful.”
The Association for Computing Machinery (ACM) this morning announced Patrick M. (Pat) Hanrahan and Edwin E. (Ed) Catmull as its 2019 Turing Award winners.
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.
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.
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.
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.”
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 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”.
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.
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.