私たちが「著作権フリー」と表現する時、それは文字通りの意味です。SOUNDRAWで生成されるすべての音楽は、実際のプロデューサーが社内でオリジナルビートを作成し、それに基づいてAI学習をしたものです。他のアーティストの音楽やデータでAIをトレーニングすることは決してありません。つまり、SOUNDRAW上のすべてのコンテンツが100%私たちのオリジナルであり、他者からの剽窃・盗用ではないことが保証されます。 したがって著作権の問題が発生した場合でも、心配する必要はありません。
We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3. We talk about connections to ChatGPT, which has taken the world by storm. We watch GitHub Copilot, itself a GPT, help us write a GPT (meta :D!) . I recommend people watch the earlier makemore videos to get comfortable with the autoregressive language modeling framework
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang*, Han Zhang*, Jarred Barber†, AJ Maschinot†, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein†, Yuanzhen Li†, Dilip Krishnan† *Equal contribution. †Core contribution. We present Muse, a text-to-image Transformer model that achieves state-of-the-art image generation performance
Magic3D is a new text-to-3D content creation tool that creates 3D mesh models with unprecedented quality. Together with image conditioning techniques as well as prompt-based editing approach, we provide users with new ways to control 3D synthesis, opening up new avenues to various creative applications.
みなさん、こんにちは。 こちらは「ABEJAアドベントカレンダー2020」の23日目の記事です。 はじめに 私は、弁護士として法律事務所に所属しつつ、ABEJAで法務のサポートなどをしています。 また、JDLAのE資格を取得したので、機械学習エンジニアを名乗って少しだけエンジニア的な活動をしたりもしています。 仕事柄、AIと法律の話をすることが多いのですが、その際に私がよく質問されるのが、 ① 所有権とか著作権とか特許権とか、権利がいろいろあってAIとの関係で何が問題になるかよくわからない ② データの利用が法的にOK/NGってどういう観点から検討してるのかよくわからない ③ AI開発の委託・受託のときのモデルの権利問題がよくわからない といったものです。 そこで今日は、この3つの問題をできるだけわかりやすく、一気に解説してしまおう!という記事を書きました。 経産省の「AI・データの利用に
Published as: Noor Shaker, Julian Togelius, and Mark J. Nelson (2016). Procedural Content Generation in Games: A Textbook and an Overview of Current Research. Springer. DOI: 10.1007/978-3-319-42716-4 Initial drafts of the chapters were posted online on this website in 2013, as they were written. They went through a number of revisions in 2013–2016; the PDFs above are the final authors' versions as
In this blog post I will talk about: Why we believe that AI is the most important project to undertake What this AI project is about How our approach differ from others What have we achieved so far What are our short-term and long-term goals Video talk How our R&D team works What’s next Why is AI so important? We believe that general AI is the technology with the greatest potential to help people.
Disclaimer: Sirius is not produced by Apple and is in no way derived from Apple's Siri. Sirius has been renamed to Lucida. The new project page is at www.lucida.ai. This website and the content made available is to reproduce results from the ASPLOS 2015 publication [1]. Sirius [1] is an open end-to-end standalone speech and vision based intelligent personal assistant (IPA) similar to Apple’s Siri,
An always-on Siri: MindMeld listens to you talk, finds what you need Expect Labs is a technology company based in San Francisco. We are building a technology platform to enable applications to pay attention continuously and better anticipate our needs. As a first exploration of the potential for this technology, we are launching an iPad app called MindMeld. MindMeld is the first voice and video ca
Welcome to Legacy Pandorabots AIML 1.0 Platform! Pandorabots is a free open-source-based community webservice enabling you to develop and publish chatbots on the web (Read more details here). Pandorabots is the largest chatbot community on the internet. 166,000 registered bot masters have chosen to create more than 206,000 pandorabots ("chatbots") in multiple languages. Through June 2012, over 1.5
Please talk to me! Just type something, then click Say it!, or press Return. Say It! twice only if no response for more than a minute. Logs may be lost. Jabberwacky 16-2 - Learning Artificial Intelligence - AI Software Applications Bots for Entertainment, Marketing, Robots & Robotics, Digital Pets, Gadgets & Games © Copyright 1997-2011 Rollo Carpenter DISCLAIMER: Jabberwacky learns the behaviour a
About CleverbotThe site Cleverbot.com started in 2006, but the AI was 'born' in 1988, when Rollo Carpenter saw how to make his machine learn. It has been learning ever since! Things you say to Cleverbot today may influence what it says to others in future. The program chooses how to respond to you fuzzily, and contextually, the whole of your conversation being compared to the millions that have ta
Bungie Publications is a broad examination of topics ranging from networking techniques in our online games to the behavior of enemy and friendly AI in our game worlds. This section contains transcripts, papers and presentations on matters artistic and technical in Bungie games. Composed by members of Bungie, these papers are solely the work of Bungie and its employees and may not be distributed
My name is Björn Knafla. I am parallelizing computer and video games with a strong focus on artificial intelligence (AI). What is a behavior tree? How does it work and what is its role in game AI? Welcome to a series of blog articles about my experiment (read: stumbling around) of marrying data-oriented, memory-streamlined behavior trees with a second representation to ease creation and modificati
This is my attempt at a Mario AI using a path-finding algorithm called A*. The bot won both Mario AI competitions this year! You can see the path it plans to go as a red line, which updates when it detects new obstacles at the right screen border. It uses only information visible on screen. At the "close call" situation: In this version of Mario, when you're jumping while sliding on a wall, you
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