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2. LANDR - Wikipedia

   en.wikipedia.org/wiki/LANDR

   LANDR Audio is a cloud-based music creation platform developed by MixGenius, an artificial intelligence company based in Montreal, Quebec.Since launching with its flagship automated mastering service in 2014, LANDR has expanded its offerings to include distribution services, a music samples library, virtual studio technology (VSTs) and plug-ins, a service marketplace for musicians, and online ...

3. MuZero - Wikipedia

   en.wikipedia.org/wiki/MuZero

   MuZero (MZ) is a combination of the high-performance planning of the AlphaZero (AZ) algorithm with approaches to model-free reinforcement learning. The combination allows for more efficient training in classical planning regimes, such as Go, while also handling domains with much more complex inputs at each stage, such as visual video games.

4. Amuse (music company) - Wikipedia

   en.wikipedia.org/wiki/Amuse_(Music_Company)

   Amuse's proprietary technology platform uses the streaming data from digital music distribution services to partner with independent artists with momentum. [1] When the company discovers music it can help grow, Amuse's team offers the artist a tailor made licensing deal, including services like funding, artist marketing and rights management, in return of a revenue split.

5. Howie Weinberg - Wikipedia

   en.wikipedia.org/wiki/Howie_Weinberg

   Howie Weinberg is an American audio mastering engineer. Over the course of his career, he has received over 2,257 mastering credits, [1] three TEC Awards, [2] 21 Grammy Awards, [3] two Juno Awards, [4] [5] [6] and one Mercury Prize.

6. Mastering (audio) - Wikipedia

   en.wikipedia.org/wiki/Mastering_(audio)

   Mastering, a form of audio post production, is the process of preparing and transferring recorded audio from a source containing the final mix to a data storage device (the master), the source from which all copies will be produced (via methods such as pressing, duplication or replication).

7. AlphaGo - Wikipedia

   en.wikipedia.org/wiki/AlphaGo

   Decommissioned AlphaGo backend rack. Go is considered much more difficult for computers to win than other games such as chess, because its strategic and aesthetic nature makes it hard to directly construct an evaluation function, and its much larger branching factor makes it prohibitively difficult to use traditional AI methods such as alpha–beta pruning, tree traversal and heuristic search.

8. Prompt engineering - Wikipedia

   en.wikipedia.org/wiki/Prompt_engineering

   Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [ 1 ] A prompt is natural language text describing the task that an AI should perform. [ 2 ]

9. iTunes Store - Wikipedia

   en.wikipedia.org/wiki/ITunes_Store

   Mastered for iTunes (MFiT) is a procedure developed by Apple specifically for mastering engineers to follow. This set of tools allows engineers to audition Apple's proprietary encoding during the mastering process to take into account how music will eventually interact with Apple's encoding.