A reader’s project
Musicians have a hard time remembering what they played when they’re in the “groove”, which makes transcribing original music a tedious and difficult task. No one wants to interrupt a good jam session by writing every note they play as they go, which is why we created Mozart: a phone app that simplifies the song writing process by automatically writing the tabs for you as you play. Simply place your phone by your guitar, bass, or piano, and watch Mozart do its magic with yours.
The idea behind Mozart is to allow for musicians of any skill to create easily-understood notations of their music without the need of any additional effort (other than employing the app, that is). The user simply has to select the instrument they will be using and touch “Record” upon being prompted to do so. Using the phone’s mouthpiece as a microphone, the app utilizes its note-recognition feature to transcribe each note that’s played to it into tablature (tabs) and standard musical notation. A file containing both “sheets” is generated at the conclusion of the recording, and the user is given the ability to share, store, or save for editing later.
The availability of both tabs and standard notation is reflective of our hopes of Mozart being used as a tool for musical education and accessibility around the world. Tabs are easily read even by non-musicians, relying on simple and direct instructions to tell the musician what to be play. Complementing these tabs with their standard notation may allow users to become more comfortable with both.
23 May 2013
To cure a disease you need to first understand its cause. Cancers come in all shapes and sizes, but genetic mutations – a few small changes in pivotal DNA sequences – play a role in almost every case. Acute myeloid leukaemia (AML) is an aggressive cancer of the blood that kills thousands of people worldwide each year. In a bid to understand what genes might be sparking the disease, scientists sequenced the genomes of over 200 AML patients, comparing the genetic sequences in their cancerous cells with those in their healthy cells. The result? A list of which genes and pathways contribute to the cancer. In this interactive graphic each dark line represents a single patient, connecting the mutations that appear in their cancer and revealing which mutations are most common. By identifying the genes that commonly cause the cancer, the researchers hope to dig up new ways to fight AML.
Written by Anthony Lewis
Superman: The Movie, US roadshow lobby card. 1978