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Archive for the ‘open access’ category: Page 2

Sep 6, 2022

A 1,000,000,000 Particle Simulation! 🌊

Posted by in categories: open access, particle physics

❀ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers.

📝 The paper “A Fast Unsmoothed Aggregation Algebraic Multigrid Framework for the Large-Scale Simulation of Incompressible Flow” is available here:
http://computationalsciences.org/publications/shao-2022-multigrid.html.

Continue reading “A 1,000,000,000 Particle Simulation! 🌊” »

Aug 28, 2022

Did the Big Bang happen?

Posted by in categories: cosmology, mathematics, open access, physics

To try out our new course (and many others on math and science), go to https://brilliant.org/sabine. You can get started for free, and the first 200 will get 20% off the annual premium subscription.

Physicists have many theories for the beginning of our universe: A big bang, a big bounce, a black hole, a network, a collision of membranes, a gas of strings, and the list goes on. What does this mean? It means we don’t know how the universe began. And the reason isn’t just that we’re lacking data, the reason is that science is reaching its limits when we try to understand the initial condition of the entire universe.

Continue reading “Did the Big Bang happen?” »

Aug 16, 2022

New-and-Improved Content Moderation Tooling

Posted by in categories: education, open access, policy, robotics/AI

To help developers protect their applications against possible misuse, we are introducing the faster and more accurate Moderation endpoint. This endpoint provides OpenAI API developers with free access to GPT-based classifiers that detect undesired content — an instance of using AI systems to assist with human supervision of these systems. We have also released both a technical paper describing our methodology and the dataset used for evaluation.

When given a text input, the Moderation endpoint assesses whether the content is sexual, hateful, violent, or promotes self-harm — content prohibited by our content policy. The endpoint has been trained to be quick, accurate, and to perform robustly across a range of applications. Importantly, this reduces the chances of products “saying” the wrong thing, even when deployed to users at-scale. As a consequence, AI can unlock benefits in sensitive settings, like education, where it could not otherwise be used with confidence.

Jun 19, 2022

DeepMind Takes A Step Towards General AI! đŸ€–

Posted by in categories: open access, robotics/AI

Deepmind takes a step towards general AI!

Two Minute Papers

Continue reading “DeepMind Takes A Step Towards General AI! 🤖” »

Jan 6, 2022

OpenAI Plays Hide and Seek
and Breaks The Game! đŸ€–

Posted by in categories: open access, robotics/AI

❀ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers.
❀ Their blog post is available here: https://www.wandb.com/articles/better-paths-through-idea-space.

📝 The paper “Emergent Tool Use from Multi-Agent Interaction” is available here:
https://openai.com/blog/emergent-tool-use/

Continue reading “OpenAI Plays Hide and Seek
and Breaks The Game! 🤖” »

Nov 6, 2021

“The General Index”: New tool allows you to search 107 million research papers for free

Posted by in categories: computing, law, open access

A new database aims to make it easier than ever to access and search through the world’s massive trove of research papers.

Each year, millions of scientific and academic papers get published across thousands of journals. The majority of those papers lie behind paywalls, costing $9 to $30 (or more) to read. Finding them can be difficult: Tools like Google Scholar allow you to search for paper titles and keywords, but more specialized queries are difficult.

The General Index was designed to reduce those obstacles without breaking the law. Developed by the technologist Carl Malamud and his nonprofit foundation Public Resource, the free-to-use index contains words and phrases from more than 107 million research papers, comprising 8.5 terabytes when compressed.

Nov 9, 2020

OpenAI Plays Hide and Seek
and Breaks The Game! đŸ€–

Posted by in categories: open access, robotics/AI

Circa 2019 o,.o.


❀ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers
❀ Their blog post is available here: https://www.wandb.com/articles/better-paths-through-idea-space

Continue reading “OpenAI Plays Hide and Seek
and Breaks The Game! 🤖” »

Oct 12, 2020

The Coming Internet: Secure, Decentralized and Immersive

Posted by in categories: computing, disruptive technology, electronics, information science, internet, open access, supercomputing

The blockchain revolution, online gaming and virtual reality are powerful new technologies that promise to change our online experience. After summarizing advances in these hot technologies, we use the collective intelligence of our TechCast Experts to forecast the coming Internet that is likely to emerge from their application.

Here’s what learned:

Security May Arrive About 2027 We found a sharp division of opinion, with roughly half of our experts thinking there is little or no chance that the Internet would become secure — and the other half thinks there is about a 60% probability that blockchain and quantum cryptography will solve the problem at about 2027. After noting the success of Gilder’s previous forecasts, we tend to accept those who agree with Gilder.

Decentralization Likely About 2028–2030 We find some consensus around a 60% Probability and Most Likely Year About 2028–2030. The critical technologies are thought to focus on blockchain, but quantum, AI, biometrics and the Internet of things (IoT) also thought to offer localizing capabilities.

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Mar 19, 2020

Meet the Robin Hood of Science, Alexandra Elbakyan

Posted by in categories: open access, science

How one researcher created a pirate bay for science more powerful than even libraries at top universities.

Jan 11, 2020

IOT needs decentralized, long-range connectivity. It’s finally coming

Posted by in categories: computing, cryptocurrencies, economics, hardware, innovation, internet, open access

No matter how cheap or fast paid internet service gets, the Internet of Things (IOT) won’t take wings until we have ubiquitous access to a completely decentralized, open-standard network that does not require a provider subscription. This month, we may be a step closer.

Let’s talk about internet connected gadgets. Not just your phone or PC—and not even a microwave oven or light bulb. Instead, think of everyday objects that are much smaller and much less expensive. Think of things that seemingly have no need to talk with you.

Now think of applications in which these tiny things need to communicate with each other and not just with you. Think of the cost of this “thing” compared to the added cost of continuous communications. Do so many things really need to talk in the first place?

First, there were Trackers


Continue reading “IOT needs decentralized, long-range connectivity. It’s finally coming” »

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