In the News
The 13 ‘Must-Read’ AI Papers of 2021
13 of the most important AI papers of the year, as selected by the experts in the RE•WORK community who will be speaking at the Deep Learning Hybrid Summit in San Francisco in February 2022.
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In The News
TechScape: how China became an AI superpower ready to take on the United States
Review of a book by Kai-Fu Lee on how China became a "AI powerhouse" - keeping in mind that by year’s end, China accounted for nearly half of all AI venture funding globally.
Top 7 Artificial Intelligence Trends In 2022
It is said to be the most advanced language model ever created, comprising of 175 billion parameters – comprising of variables and data points. Metaverse & Artificial Intelligence Metaverse is a terminology coined for an environment, a digital environment to be more specific, where multiple users...
The Myth of Artificial Intelligence
Review of a book entitled "The Age of AI" by Henry A. Kissinger, Eric Schmidt and Daniel Huttenlocher. The book takes the debate about artificial intelligence off the table by obscuring the relevant technologies and the political economy behind them.
Applied use cases
NVIDIA brings collaborative AI to healthcare
NVIDIA is making it easier than ever for researchers to harness federated learning by open-sourcing NVIDIA FLARE, a software development kit that helps distributed parties collaborate to develop more generalizable AI models.
How do you solve a problem like misinformation?
Understanding key distinctions between misinformation/disinformation, speech/action, and mistaken belief/conviction provides an opportunity to expand research and policy toward more constructive online communication.
Clever Compression of Some Neural Nets Improves Performance
MIT researchers find an efficient way to prune speech-recognition AIs while still boosting accuracy
Ethics
Recognition of bias in AI continues to grow
This week, the Partnership on AI (PAI), a nonprofit committed to responsible AI use, released a paper addressing how technology — particularly AI — can accentuate various forms of biases.
AI-DR Program Automated Decision-Making and the Law Clearinghouse Project
Below we highlight the seminal or topical articles in the following sensitive areas: (A) AI and Administrative Work, (B) AI and Criminal Justice, (C) AI and Education, (D) AI and Employment, (E) AI and Financial systems, (F) AI and Health, (G) AI, Immigration, and Human Rights, (H) AI Regulation,...
From self-regulation to legal compliance: the end of an era
Professor Luciano Floridi, Professor of Philosophy and Ethics of Information at the University of Oxford, sets out his perspective on the future of AI Governance.
Robotics
Italian researchers have built a humanoid robot that may one day fly like Iron Man
"Aerial Humanoid Robotics unifies aerial manipulation and humanoid robotics. By doing so, aerial humanoid robots overcome the lack of terrestrial locomotion of aerial manipulators and extend the locomotion capabilities of humanoid robots to the flight case.
A Quadruped Humanoid Robot Might Be Able To Do It All
While we’ve seen several examples of legged robots leveraging wheels, the best example of this strategy almost certainly comes from ETH Zürich’s Robotic Systems Lab.
LEADOR: A Method for End-To-End Participatory Design of Autonomous Social Robots
In this article, we present LEADOR (Led-by-Experts Automation and Design Of Robots), an end-to-end PD methodology for domain expert co-design, automation, and evaluation of social robot behaviour.
Research
10 Popular Machine Learning Algorithms In A Nutshell
In this article we've decided to share in-depth articles, video tutorials and python codes of some of the most popular machine learning algorithms.
Simulation Intelligence: Towards a New Generation of Scientific Methods
The original "Seven Motifs" set forth a roadmap of essential methods for the field of scientific computing, where a motif is an algorithmic method that captures a pattern of computation and data movement. We present the "Nine Motifs of Simulation Intelligence", a roadmap for the development and...
AI needs massive data sets to work. Meta is testing a way to do more with less.
At the time, Meta said there wasn’t enough video data to train its artificial intelligence systems to detect and remove violent content, so it hoped the body cam project would produce more of that scarce AI training data. A dearth of training data can plague AI systems that need large amounts of...
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