Thomas Alva Edison was an American inventor born in 1847 in Ohio. He showed an early aptitude for invention and worked on telegraph equipment as a young man. In 1876, Edison established Menlo Park Laboratory, the first industrial research lab, where he invented the phonograph in 1877 and made breakthroughs in developing an affordable and long-lasting incandescent light bulb during the late 1870s. By the late 1880s, Edison's research laboratory had helped establish both electric power generation and the foundations of industrial research. Edison received over 1,000 patents for his inventions and innovations.
A presentation on a great American scientist Thomas Edison (1847 - 1931) who gave fascinating concepts to the world, particularly in the field of Electrical Engineering
A presentation on a great American scientist Thomas Edison (1847 - 1931) who gave fascinating concepts to the world, particularly in the field of Electrical Engineering
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
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.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
1. Key points to be discussed
Who was ThomasAlva Edison?
Early Life of Edison.
Edison’s emergence as a leading inventor.
Edison’s innovations with Electric Light
2.
3. Role of this adipocytokine in beta-
thalassaemia.
7. Thomas Alva Edison
Thomas Alva Edison was an American
inventor and entrepreneur who has
been described as America's greatest
inventor. He developed many devices
in fields such as electric power
generation, mass communication,
sound recording, and motion pictures.
He was one of the first inventors to
apply the principles of organized
science and teamwork to the process
of invention, working with many
researchers
researchers
established
and
employees
He
The
first
industrial
research laboratory
.
8. Early Life of Edison
Thomas Edison was born in
1847
in
Milan, Ohio
.
He was the seventh and last child of
Samuel Ogden Edison Jr. and Nancy
Matthews Elliott
.
Edison was taught reading, writing,
and arithmetic by his mother who
used to be a school teacher
.
When he was just
12
,
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.
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.
9. Emergence as a Leading Inventor
From 1870 to 1875, Edison worked at
New Jersey, where he developed
telegraph-related products for both
Western Union Telegraph Company
and its rivals.
In 1876, His major innovation was the
establishment of an famous industrial research lab which was
named as Menlo Park Laboratory.
phonograph
notable as
the
first
In 1877, He invented the carbon
telephone transmitter for the Western
Union Telegraph Company.
His phonograph (patented 1878) was
successful instrument of its kind.
10. Innovations with Electric Light
In 1878, Edison set up the Edison Electric
Light Company and began research and
development.
He made a breakthrough in October 1879
with a bulb that used a platinum filament.
In
1880,
hit
on
carbonized
bamboo
as
a
viable
alternative
for
the
filament,
which
proved to be the key to a long-lasting and
affordable light bulb.
In 1881, he set up an electric light company in Newark, and the
following year moved his family to New York.
By 1889, AC current would come to dominate the field, and the
Edison General Electric Co. merged with another company in
1892 to become General Electric Co.
11. Conclusion
In 1931, Edison succumbed to complications from diabetes. He was
survived by his second wife and their three children, as well as his
three children by his first wife. By the time he died on October 18,
1931, Edison had amassed a record 1,093 US patents in his name, as
well as patents in other countries.
Everyone had heard of the "Wizard" and looked up to him. The
whole world called him a genius. But he knew that having a good
idea was not enough. It takes hard work to make dreams into reality.
That is why Edison liked to say,