Archives: Bookmarks

suno-ai/bark: ? Text-Prompted Generative Audio Model

Saved on October 12, 2024

Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio – including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying. To support the research community, we are providing access to pretrained model checkpoints, which are ready for inference and available for commercial use.

Wikipedia:WikiProject AI Cleanup – Wikipedia

Saved on October 9, 2024

To identify text written by AI, and verify that they follow Wikipedia’s policies. Any unsourced, likely inaccurate claims need to be removed.

To identify AI-generated images and ensure appropriate usage.

To help and keep track of AI-using editors who may not realize their deficiencies as a writing tool

The purpose of this project is not to restrict or ban the use of AI in articles, but to verify that its output is acceptable and constructive, and to fix or remove it otherwise.

Insecure Deebot robot vacuums collect photos and audio to train AI – ABC News

Saved on October 8, 2024

Ecovacs robot vacuums, which have been found to suffer from critical cybersecurity flaws, are collecting photos, videos and voice recordings – taken inside customers’ houses – to train the company’s AI models.

The Chinese home robotics company, which sells a range of popular Deebot models in Australia, said its users are “willingly participating” in a product improvement program.

When users opt into this program through the Ecovacs smartphone app, they are not told what data will be collected, only that it will “help us strengthen the improvement of product functions and attached quality”.

Users are instructed to click “above” to read the specifics, however there is no link available on that page.

Data and Visual Analytics | CSE6242OAN,O01,O3,AO Fall 2024 | Georgia Tech

Saved on October 7, 2024

This course can be very tough for many!
WARNING! You are expected to quickly learn many things simultaneously, and for some materials you will need to learn them on your own (e.g., Linux commands, for working with MS Azure/Amazon AWS). This can be very intimidating for many students.
The amounts of time students spend on this class greatly vary, based on their backgrounds, and what they may already know. Some former students told us they spent about 40-60 hours on each homework assignment (we have 4 big assignments, and no exams), and some reported much less. For example, for the homework assignment covering D3 visualization programming students who are completely new to javascript, css, and html likely will spend significantly more time than those of their peers who have prior experience with these technologies. Some former students lacking a strong computer science background report having found the homework assignments quite challenging and demanding of significant time and effort. But they also report having found them rewarding, fun, and “do-able.”

Students have at least 3 weeks to complete each homework assignment. In the past, some students have waited until the last week to begin, and could not finish. It is critical to plan ahead and prepare for the significant time required to complete the homework assignments.