3325 high so far #apollohospital

VEDIC COSMOLOGY, also known as Hindu Cosmology, and cosmography are both interesting and inspiring. Today’s “modern” Vedic texts originated around 3,000 B.C.E. This is the oldest scientific and the oldest religious doctrine known to the human race.

Our current astronomy of the solar system and universe has its roots in Vedic knowledge. It only shows that man had advanced knowledge of astronomy way before our current civilization came into existence.
We are here to talk about the Vedic version of the planetary system,

starting at the top from the eternal planets to the temporary planetary system within innumerable universes in the material world.

Talking about “cosmic manifestation,” we need to incorporate both spiritual and material existence.

The spiritual realm of the planets is everlasting, and this will forever be beyond what the material universe can encapsulate. The spiritual realm belongs to the “super dimensional” or “anti-material” dimension. It means that it is beyond what we can perceive,

beyond time as a linear dimension, and the space of our vision and perception.

There are innumerable planets, all indestructible and forever lasting. That is what the Vedas say about the spiritual planets. Our concentration here is more towards the material side of things.

1/Just had an interview scheduled with @goddeketal, Dr Simon Goddek, the post-doctoral researcher at the Faculty of Mathematics and Statistics in the field of biotechnology, at an unnamed Dutch university. This researcher has been publicly pointing out that the paper that...

2/ the PCR test as the gold standard underlying global "lockdowns" was passed after maximum ONE day of peer review, as opposed to the average at that same journal of 172 days in 2019. Also that several authors have conflicts of interest. Unfortunately we were forced to cancel..

3/ because he was strongly advised by his university to maintain silence and not speak publicly -- to step back from this issue. I learned from a source that his university was heavily assailed by many complaints. Other scientists who have signed the review criticizing the PRC..

4/test, the "Retraction Request Letter", a critique that got worldwide attention, have also been bombarded with attacks, their relatives are being called at night, and their universities assailed. Some are at risk of losing jobs. Even former employers are being harassed. I..

5/ Note : scientists around the world are being silenced and harassed if they speak up in normal criticism of the scientific methods or conclusions used to advance the lockdown agenda and COVID testing. This is not post-enlightenment scientific discourse, this is how scientists

ADI SHANKAR AND SRI TOTAKACHARYA

Adi Shankaracharya chose his disciple Totakacharya to be the first head of the Math at Joshimath.
The Narsingh Mandir (Mandir of Sri Narasimha) in Joshimath is one of the 108 Divyadesams and also the home of Badrinath during the winter months.

Totakacharya was earlier a boy named ‘Giri’ and a devout disciple of Adi Shankaracharya. Unlike others, he was not known to be an expert in Shastras but his dedication to his Guru was complete and he used to listen to His discourses with utmost faith and devotion.
@SriRamya21

One morning as Adi Shankara and his disciples were getting ready for the discourse, Giri was delayed. The other disciples urged their Guru to commence the lesson on Bramhsutra Bhashya telling him that Giri would anyway not be able to comprehend its deep meaning.
@RajeAiyer

Adi Shankar responded “नायमात्मा प्रवचनेन लभ्यो न मेधया” – Atman cannot be attained through discourses or mere intellect.
He,then, awakened the supreme knowledge in Giri.
Giri spontaneously composed: श्री शङ्करदेशिकाष्टकम् extolling his Guru’s grace.

Adi Shankaracharya granted sanyasa to Giri and gave him the name Totakacharya.
The story of how Giri became Totakacharya is a great example of the importance of faith and devotion in your Guru and not the mere knowledge of the Shastras.
@DetheEsha

@FionaPearman @ScottMorrisonMP Morrison is our statue of unempathic neoliberalism - erected by evangelical and corporate Australia to celebrate their victory over compassion, equality and secular humanism. 

Hopefully it gets pulled down like the statues of dubious heroes of oppression from an earlier age.

@ScottMorrisonMP The two-party-preferred system in 
Australia politics isn’t working for people, and it sure isn’t working for the planet.

@ScottMorrisonMP My collapse of faith in our democracies isn’t an accident. It’s one of the central victories of the neoliberal project, delivered through two generations of privatisation, outsourcing and deregulation, underfunding of government services (locked in by tax cuts),...

@ScottMorrisonMP restricting freedom of information, targeting whistleblowers and raiding the media who report on them, delegitimising and gagging public interest advocacy, and criminalising protest.

@ScottMorrisonMP Politics in Australia today relies hugely on the fact that most people don’t know most of what’s going on so as to get away with stuff that couldn’t be done under real scrutiny we have seen a clear example of this with the National Coronvirus Cabinet.

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.