For many years researchers have said that DNA and RNA do not fluoresce without help from other chemicals. But now some researchers are discovering how to make DNA (and RNA) to fluoresce naturally.
I just started learning Python (a computer programming language) two years ago when I look an Artificial Intelligence Class. It was required to program to Tensor Flow, one of the top AI programming frameworks by Google.
Now I hear that Python is considered the number three in popularity among current computer programmers.
Sometimes a better strategy can win over more intelligence. For example, making a smarter wagon wheel is nice, but is it practical? Having a better strategy and a broader set of mental models can help discover something new or help to solve a mathematical or scientific puzzle.
To a person who uses hammers and nails to solve most problems, this person will use this model for almost any problem. Someone expert in mathematics will try to apply mathematics to solve a social issue, but this may not work.
These are some of my comments from an article: Mental Models: How to Train Your Brain to Think in New Ways. This article takes many examples from how Richard Feynman solved hard problems.
“This is the power of music. And as you’ve now seen, it goes far beyond an ability to enhance our moods. In fact, research has also shown it can reduce everyday stress, boost memory and creativity, enhance blood vessel function and even give an added boost to your immune system.” — from https://www.tonyrobbins.com/mind-meaning/music-brain
wow, look at the ability for Machine Learning and Artificial Intelligence to learn your music rhythm and melody and play a duet on it.
It is here based on Google’s TensorFlow Machine Learning open source software. Check out this link about “Make Music and Art Using Machine Learning” at magenta.tensorflow.org Then look at Learning from A.I. Duet . Some real possibilities for expanding music and allowing software to help accompany the musician. Yes this will not make one a better musician, but it sure helps to make more music. The software is part of the work of the Google Brain team who work on Magenta project in collaboration with the Google Creative Lab team.
Now to take this to the next level, consider this note on
Style-conditioned music generation
To be creative, one must start somewhere. Creativity is bringing things together. But just brain-storm and consider things even outside the box, things that are impossible to achieve (so we think). Try a different mathematical solution, a different marketing or engineering solution. Success sometimes comes by just tweaking things just a little.
Consider the configuration of artificial intelligence and deep learning neural networks. There are so many ways to configure and initialize them. So many different types of neural nodes and ways to mathematically connect the nodes also called Perceptrons.
A person who never made a mistake never tried anything new — possibly said by Albert Einstein
Here is a great set of project results to consider for stimulating creativity in Machine Learning…
Higgs Boson Machine Learning Challenge
Some organizations and companies at some stage need a paradigm breakthrough.
Apple is(was) a computer company, now cell phones? Can you imagine if the culture at Apple 6 years ago was against a paradigm shift to move to cell phones. The next normal path in bringing a user friendly computer to people is: computer, then music then the personal beautiful cellphone. Apple is a great example of a company that knows when to make a positive successful paradigm shift. Financially, consider what Apple would be today if the iPhone was not released.
Google a search company, now cell phones? (Financially, Google is an advertising company.)
My guess is 15 years ago some marketing person or engineer suggested adding a camera to a cell phone, and maybe lost his job over the crazy idea. Today it’s hard to find a phone without a camera.
Drew a software engineer, entrepreneur, blog writer, on camera person, now songwriting, now back to electronics and mathematics?
Some of us have stopped dreaming, we like predictable, stable and it has always worked, so why change it.
It is hard for a company culture to accept a new possibility, when the existing seems to be going well. Change is difficult and must be done slowly and carefully. People do like change, but want it slowly.
But one has to consider: when is the proper time for a paradigm shift!
December 10, 2014
Many great articles on making music from your brain waves:
We need to just keep going when near the finish line: The last 10%: How to push through when the finish line is near