One thing: I have simplified the exposition of the Theory of Reproducibility introduced in this book.
There is a very accurate model for this, but unfortunately, it is in three dimensions. I didn't want to have a three dimensional model in the book because I was advised to avoid having too much by way of complex mathematics. So, I tried to introduce the idea using a two dimensional model.
The exact model is as follows: consider a two dimensional graph on which you plot each work of art pertaining to each artist of interest. On the X Axis is a measure of the virtuosity of the artist (thus, to the extreme right are artists with high levels of virtuosity such as Mirza Ghalib or Yo Yo Ma, and on the extreme left would be the really poor singers, such as an erstwhile neighbor of mine who used to sing in the bathroom.) On the Y Axis is a measure of the chances of the work of art appealing to the general population (on the top extreme are works of art with likely high levels of mass appeal such as Britney Spears' albums and on the extreme bottom are works of art with likely very low levels of mass appeal such as Ghalib's poetry). On the Z Axis for each work of art, plot an estimate for the audience number for the same.
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One can easily see that the smart move for artists who possess high levels of virtuosity is to move down the Y Axis.
When they do that, they can capture an extremely large market running into the millions, and they could become very rich indeed, even if, say, they only charged a dollar a song.
Blogger has been fun. But is time to move on to the other things. We are moving on to Twitter. I will post the URL to the Twitter feed in due course of time once I have it set up.
Here is where the previous editions of this blog have been hosted:
In the enchanting world of Bollywood music, certain melodies transport us to a realm of timeless beauty and romance, evoking the joy and splendor of spring. One such captivating gem is the exquisite "Jashn-E-Bahaara" from the epic movie Jodhaa Akbar (2008). Composed by the maestro A.R. Rahman and adorned with the soul-stirring lyrics of Javed Akhtar, this song is a mesmerizing ode to the enchanting beauty of nature and the awakening of love.
Melodic Splendor:
"Jashn-E-Bahaara" is a masterpiece of melodic splendor, with A.R. Rahman's composition weaving a tapestry of emotions that captures the essence of springtime bliss. The ethereal strains of the flute and the gentle rhythm of the tabla evoke the delicate beauty of blossoming flowers and the soft caress of a gentle breeze. The melody dances with a sense of joy and anticipation, inviting listeners to immerse themselves in the magic of the season.
Lyrically Enchanting:
Javed Akhtar's lyrics in "Jashn-E-Bahaara" are a poetic masterpiece, painting a vivid picture of love's awakening amidst the vibrant colors of spring. Each verse is a lyrical marvel, expressing the exhilaration of newfound love and the longing for union with the beloved. The imagery is rich and evocative, transporting listeners to a world of romance and passion that transcends time and space.
Iconic Rendition:
No discussion of "Jashn-E-Bahaara" would be complete without acknowledging the iconic rendition by the legendary playback singer Javed Ali. His soulful voice infuses the song with an unmatched emotional depth, capturing the ecstasy and yearning of love's tender embrace. Ali's emotive performance, coupled with Rahman's exquisite composition, elevates "Jashn-E-Bahaara" to the realm of timeless classics.
Everlasting Appeal:
Decades may pass, but the enchanting beauty of "Jashn-E-Bahaara" continues to captivate audiences, serving as a timeless reminder of the eternal allure of love and nature's boundless splendor. Its timeless melody and evocative lyrics resonate with listeners of all ages, inspiring a sense of wonder and reverence for the beauty that surrounds us. As we listen to this beloved song, let us celebrate the magic of spring and the joy of love's eternal dance.
In the rich tapestry of Bollywood music, there exist songs that transcend the boundaries of time and space, transporting listeners to realms of spiritual enlightenment and divine bliss. One such transcendent masterpiece is the mesmerizing "Khawaja Mere Khawaja" from the epic movie Jodhaa Akbar (2008). Composed by the maestro A.R. Rahman and adorned with the profound lyrics of Javed Akhtar, this song is a sublime invocation of the divine, celebrating the universal principles of love, devotion, and surrender.
Musical Majesty:
"Khawaja Mere Khawaja" is a symphony of spiritual majesty, with A.R. Rahman's composition weaving a tapestry of ethereal beauty and celestial grace. The haunting melody, punctuated by the mesmerizing strains of the Sufi qawwali, transports listeners to the inner sanctum of the soul, where the divine presence is felt in every note. The music envelops us in a state of meditative trance, inviting us to lose ourselves in the timeless rhythm of devotion and prayer.
Lyrically Transcendent:
Javed Akhtar's lyrics in "Khawaja Mere Khawaja" are a poetic tribute to the timeless wisdom of the Sufi saints, capturing the essence of mystical ecstasy and divine communion. Each verse is a prayerful invocation of the beloved Khawaja, whose divine presence permeates every corner of the universe. The words resonate with a sense of awe and reverence, inspiring listeners to surrender themselves completely to the divine will.
Iconic Rendition:
No discussion of "Khawaja Mere Khawaja" would be complete without acknowledging the iconic rendition by the legendary playback singer A.R. Rahman himself. His soul-stirring vocals infuse the song with a sense of transcendental fervor, elevating the listener to heights of spiritual ecstasy. Rahman's emotive performance, coupled with his masterful composition, makes "Khawaja Mere Khawaja" an unforgettable musical experience.
Eternal Reverence:
Decades may pass, but the reverence for "Khawaja Mere Khawaja" remains eternal. Its timeless melody and profound lyrics continue to inspire and uplift listeners, serving as a beacon of spiritual enlightenment in a world often fraught with turmoil and strife. As we immerse ourselves in the divine beauty of this sacred song, let us be reminded of the eternal truth that, in the presence of the divine, all worldly sorrows dissolve into the bliss of divine love.
Alaska's Iditarod Trail Sled Dog Race uses technology so organizers and
fans worldwide can monitor the sport in real time. This year's race has
51 contenders traveling between remote village checkpoints across the
1,000-mile (1,600-km) route, tracked electronically by operators in
Anchorage hotels. Volunteers and race contractors monitor the dog teams
via sleds outfitted with global-positioning system (GPS) trackers, which
let fans follow them online while organizers ensure no one is missing.
Some operators function as aircraft dispatchers for pilots who ferry
supplies, as well as competitors and dogs that drop out; others process
live video streamed from checkpoints, using satellite dishes. Still
others oversee race-standing updates broadcast through equipment first
tested last year, making it possible to activate a super-size hot spot
in the most remote locations with satellite links.
The U.S. National Security Agency (NSA) has chosen to open source the
cybersecurity tool Ghidra, a reverse-engineering platform that takes
"compiled," deployed software and "decompiles" it. Reverse engineering
allows malware analysts and threat intelligence researchers to work
backward from software discovered in the wild to understand how it
works, what its capabilities are, and who wrote it. Said NSA
cybersecurity advisor Rob Joyce, Ghidra was "built for our internal use
at NSA" and "helped us address some things in our work flow." Joyce
noted that the NSA views the release of Ghidra as a recruiting strategy,
allowing new hires to enter the agency at a higher level or contractors
to provide expertise without having to first come up to speed on the
tool. Added Dave Aitel, a former NSA researcher who is now chief
security technology officer at Cyxtera, "Malware authors already know
how to make it annoying to reverse their code. There's really no
downside [to releasing Ghidra]."
Researchers at the Georgia Institute of Technology (Georgia Tech) have
found that state-of-the-art object-detection systems, such as the
sensors and cameras used in self-driving cars, are better at detecting
people with lighter skin tones, meaning they are less likely to identify
black people and to stop before crashing into them. The researchers
examined eight image recognition systems and found the bias in each one,
with accuracy 5% lower on average for people with darker skin. The team
proved the hypothesis by dividing a large pool of pedestrian images
into groups of lighter and darker skin using the Fitzpatrick scale—a
scientific way of classifying skin color. “This behavior suggests that
future errors made by autonomous vehicles may not be evenly distributed
across different demographic groups,” the researchers wrote.
The New York Police Department (NYPD) is using pattern-recognition
software so analysts can compare robberies, larcenies, and thefts to
hundreds of thousands of crimes logged in the department's database,
finding matches faster than they would manually. The Patternizr
algorithm was launched in December 2016, and NYPD assistant commissioner
of data analytics Evan Levine said, "The more easily that we can
identify patterns in...crimes, the more quickly we can identify and
apprehend perpetrators." Levine and co-developer Alex Chohlas-Wood
trained Patternizr on 10 years of patterns that the department had
manually identified. Patternizr accurately reproduced old crime patterns
a third of the time, and matched parts of patterns 80% of the time. The
software compares factors like method of entry, type of goods stolen,
and distance between crimes, and reduces possible racial bias by not
counting the race of suspects when looking for patterns.
Employers across a spectrum of industries are welcoming applicants with
experience in making or playing videogames, believing such backgrounds
can help workers with online collaboration, problem-solving, and other
key workplace skills. For example, General Electric (GE) is hiring
people with game development expertise to train robots to inspect
hazardous areas via virtual reality technology, a role that GE's
Ratnadeep Paul said "came out of the gaming industry." Although some
people still regard gamers as socially maladroit, in recent years that
assumption has been dispelled, partly due to increasingly popular online
multiplayer games that encourage players to form teams and strategize
via online text or voice communication. Said the Rochester Institute of
Technology's Andrew Phelps, "What we used to stereotypically think of as
a weird thing some folks did in their basement is now part of everyday
life. Gaming has become a common touch point for people."