Battle of Gangiri-Heavy Price paid by HM 6 Dragoon Guards for Gallantry Agha A
Battle of Gangiri-Heavy Price paid by HM 6 Dragoon Guards for Gallantry https://www.academia.edu/52632772/Battle_of_Gangiri_Heavy_Price_paid_by_HM_6_Dragoon_Guards_for_Gallantry via @academia
WHY PAKISTAN ARMY OR INDIAN ARMY CAN NEVER PRODUCE A MUSTAFA KAMAL- SOMETHING...Agha A
WHY PAKISTAN ARMY OR INDIAN ARMY CAN NEVER PRODUCE A MUSTAFA KAMAL- SOMETHING SERIOUSLY WRONG IN THE GENES
April 2020
DOI: 10.13140/RG.2.2.20723.27689
Project: MILITARY HISTORY
Agha H Amin
NAIB RISALDAR AKBAR COMMANDING LEFT TANK TROOP OF B SQUADRON 25 CAVALRY LOST HIS WAY IN THE EXCITEMENT OF BATTLE AND WENT TO GENERAL AREA MAHARAJKE ---CHASING WIND MILLS (WILD GOOSE CHASE) WHILE MAJOR AHMAD CONFRONTED AND CHECKED 16 CAVALRY WITH JUST TWO TANK TROOPS
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Battle of Gangiri-Heavy Price paid by HM 6 Dragoon Guards for Gallantry Agha A
Battle of Gangiri-Heavy Price paid by HM 6 Dragoon Guards for Gallantry https://www.academia.edu/52632772/Battle_of_Gangiri_Heavy_Price_paid_by_HM_6_Dragoon_Guards_for_Gallantry via @academia
WHY PAKISTAN ARMY OR INDIAN ARMY CAN NEVER PRODUCE A MUSTAFA KAMAL- SOMETHING...Agha A
WHY PAKISTAN ARMY OR INDIAN ARMY CAN NEVER PRODUCE A MUSTAFA KAMAL- SOMETHING SERIOUSLY WRONG IN THE GENES
April 2020
DOI: 10.13140/RG.2.2.20723.27689
Project: MILITARY HISTORY
Agha H Amin
NAIB RISALDAR AKBAR COMMANDING LEFT TANK TROOP OF B SQUADRON 25 CAVALRY LOST HIS WAY IN THE EXCITEMENT OF BATTLE AND WENT TO GENERAL AREA MAHARAJKE ---CHASING WIND MILLS (WILD GOOSE CHASE) WHILE MAJOR AHMAD CONFRONTED AND CHECKED 16 CAVALRY WITH JUST TWO TANK TROOPS
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
71. 71
71
strategic and operational
military failure in
Afghanistan.
We maintain that US failure
in Afghanistan was not
inevitable by any definition
, but US military failure
occurred because of
“ tangible” , “precise” , “
avoidable” political and
military failures.
FIRST STRATEGIC
FAILURE
73. 73
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STRATEGIC FAILURE NUMBER ONE
FAILURE TO ADDRESS PAKISTANI
STRATEGIC FEARS AND
APPREHENSIONS ABOUT US
PRESENCE IN AFGHANISTAN
US politically failed to address
Pakistani strategic fears and
apprehensions about US mission in
Afghanistan.
74. 74
74
Pakistans General Musharraf feared
being cracked like a nut between a
US and Indian set of pincers and
outwardly claimed that he was a US
75. 75
75
ally while secretly supporting
Taliban.
If Pakistani fears had been
addressed and generous US financial
and material incentives offered US
could have saved far more than the
losses that it later suffered in
Afghanistan.
Ambassador Chamberlain was
particularly a major failure. So was
the US DIA and CIA staff in Pakistan.
76. 76
76
STRATEGIC FAILURE NUMBER TWO-
FAILURE TO SECURE THE
SOUTHERN BORDER AND TO
CONTROL TALIBAN INFILTRATION
FROM PAKISTAN
77. 77
77
A simple combined with a 1000
metres deep surveilled by drones and
covered by a mobile divisional size
force could have most effectively
78. 78
78
checked Taliban infiltration.This was
however not done.Possible reasons
can be lack of strategic vision but as
per reports from US military sources
desire not to disturb the
contraband/drug smuggling mafia
which was seen as a US asset.
85. 85
85
STRATEGIC FAILURE NUMBER SIX
FAILURE TO CREATE A CLASS WITH
A VESTED INTEREST IN US VICTORY
IN THE SOUTH
A Border trade zone on both sides of
Af Pak Border would have created a
class of people who had a vested
interest in US victory .
The US politicians failed to push
through legislation to create Border
Trade Zones in the congress.