This document provides an overview of artificial intelligence, including a brief history and current projects. It discusses the goals of AI as building intelligent systems and understanding intelligence. The history outlines early work in neural networks in the 1940s-1950s and the 1956 Dartmouth Conference that coined the term "artificial intelligence". Enthusiasm in the field grew from 1952-1969 but challenges emerged from 1966-1974. From 1969-1979, the focus shifted to knowledge-based expert systems. Current projects in AI include robotics like Mars rovers and humanoids, machine learning using large data sets, language translation and speech systems, and computer vision applications.
This is powerpoint on" ARTIFICIAL INTELLIGENCE".
AI is a Shining field of future technology.
Artificial intelligence,Machine Learning,and Robotics is a major advance technology of coming soon" ERA".
AI and Healthcare: An Overview (January 2024)KR_Barker
Use this presentation to:
- learn about the historical roots of AI
- learn about major events in the AI timeline
- get an overview of some of the ways that AI is being used now in healthcare to facilitate provider-patient communication, mine medical records, assess patients, predict illness, suggest treatments, enable patient monitoring
This presentation is updated for early 2024 and addresses AI's use in the creation of dis/misinformation and deepfakes, as well as the bias inherent in AI, brought on by the data sets used to train it.
Lectures on Silicon Valley at Beijing and other cities in China - September 2014 - excerpted from my book http://www.amazon.com/History-Silicon-Valley-Almost-3rd/dp/1500262226/ref=sr_1_3_bnp_1_pap?ie=UTF8&qid=1405191978&sr=8-3&keywords=scaruffi+silicon+valley
Big Data - Yesterday, Today and Tomorrow by John Mashey, TechviserAngela Hey
A history of Big Data by Dr John Mashey. It discusses 1890 census data, IBM mainframes, DEC minicomputer clusters, Silicon Graphics (SGI) applications and a history of Open Source computing.
This is powerpoint on" ARTIFICIAL INTELLIGENCE".
AI is a Shining field of future technology.
Artificial intelligence,Machine Learning,and Robotics is a major advance technology of coming soon" ERA".
AI and Healthcare: An Overview (January 2024)KR_Barker
Use this presentation to:
- learn about the historical roots of AI
- learn about major events in the AI timeline
- get an overview of some of the ways that AI is being used now in healthcare to facilitate provider-patient communication, mine medical records, assess patients, predict illness, suggest treatments, enable patient monitoring
This presentation is updated for early 2024 and addresses AI's use in the creation of dis/misinformation and deepfakes, as well as the bias inherent in AI, brought on by the data sets used to train it.
Lectures on Silicon Valley at Beijing and other cities in China - September 2014 - excerpted from my book http://www.amazon.com/History-Silicon-Valley-Almost-3rd/dp/1500262226/ref=sr_1_3_bnp_1_pap?ie=UTF8&qid=1405191978&sr=8-3&keywords=scaruffi+silicon+valley
Big Data - Yesterday, Today and Tomorrow by John Mashey, TechviserAngela Hey
A history of Big Data by Dr John Mashey. It discusses 1890 census data, IBM mainframes, DEC minicomputer clusters, Silicon Graphics (SGI) applications and a history of Open Source computing.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
Artificial intelligence is purported to improve workplace productivity. But does it really? This presentation takes a hard look at where AI is today and which aspects can truly help today's Digital Workplace improve productivity.
Learn why today almost everyone is a computer operator
Learn about the predecessors of modern computer hardware and software
Trace the development of computer hardware and software through several generations
Learn that sometimes good ideas flop and bad ones survive
Meet some interesting figures—some famous, some infamous, some wealthy, and some obscure
See some issues facing modern computing
From traffic routing to self-driving cars, Alexa to Siri, AI’s reach is extending into all areas of life, including healthcare. Join Kimberley to learn more about how AI is being used now, and will be used in the near future, to facilitate provider-patient communication, mine medical records, assess patients, predict illness, suggest treatments, and so much more. This class is freshly updated for 2023 and also includes a section on the bias inherent in AI, which impacts the kind of treatment that patients receive.
From traffic routing to self-driving cars, Alexa to Siri, AI’s reach is extending into all areas of life, including healthcare. Join Kimberley Barker, MLIS, to learn more about how AI is being used now, and will be used in the near future, to facilitate provider-patient communication, mine medical records, assess patients, predict illness, suggest treatments, and so much more. This class is freshly updated for 2023 and also includes a section on the bias inherent in AI, which impacts the kind of treatment that patients receive.
History of machine learning and basic and types of machine learning are covered in this presentation it is simple to understand and very much easy most of the content is taken from javatpoint you can learn from that site it is simple for school, college university and other student in fututre it will be updated soon for now it is the beggining.
Artificial intelligence - (A seminar on Emerging Trends of Technology) ileomax
This presentation got the first prize for the competition at a seminar Emerging Trends of Technology @ MGM Indore.
Please leave your comments if you like/unlike it..
2017: The Many Faces of Artificial Intelligence: From AI to Big Data - A Hist...Leandro de Castro
This set of slides briefly reviews the history of artificial intelligence from its origins in the early 1950's to the new trend of Big Data. It goes from AI, passing to Machine Learning, Natural Computing and finally reaching Big Data.
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.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
Artificial intelligence is purported to improve workplace productivity. But does it really? This presentation takes a hard look at where AI is today and which aspects can truly help today's Digital Workplace improve productivity.
Learn why today almost everyone is a computer operator
Learn about the predecessors of modern computer hardware and software
Trace the development of computer hardware and software through several generations
Learn that sometimes good ideas flop and bad ones survive
Meet some interesting figures—some famous, some infamous, some wealthy, and some obscure
See some issues facing modern computing
From traffic routing to self-driving cars, Alexa to Siri, AI’s reach is extending into all areas of life, including healthcare. Join Kimberley to learn more about how AI is being used now, and will be used in the near future, to facilitate provider-patient communication, mine medical records, assess patients, predict illness, suggest treatments, and so much more. This class is freshly updated for 2023 and also includes a section on the bias inherent in AI, which impacts the kind of treatment that patients receive.
From traffic routing to self-driving cars, Alexa to Siri, AI’s reach is extending into all areas of life, including healthcare. Join Kimberley Barker, MLIS, to learn more about how AI is being used now, and will be used in the near future, to facilitate provider-patient communication, mine medical records, assess patients, predict illness, suggest treatments, and so much more. This class is freshly updated for 2023 and also includes a section on the bias inherent in AI, which impacts the kind of treatment that patients receive.
History of machine learning and basic and types of machine learning are covered in this presentation it is simple to understand and very much easy most of the content is taken from javatpoint you can learn from that site it is simple for school, college university and other student in fututre it will be updated soon for now it is the beggining.
Artificial intelligence - (A seminar on Emerging Trends of Technology) ileomax
This presentation got the first prize for the competition at a seminar Emerging Trends of Technology @ MGM Indore.
Please leave your comments if you like/unlike it..
2017: The Many Faces of Artificial Intelligence: From AI to Big Data - A Hist...Leandro de Castro
This set of slides briefly reviews the history of artificial intelligence from its origins in the early 1950's to the new trend of Big Data. It goes from AI, passing to Machine Learning, Natural Computing and finally reaching Big Data.
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.
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.”
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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.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
2. Today we’ll discus:
• Intelligence
• Artificial Intelligence
• A brief history of AI
• Cool current projects in AI
3. What’s involved in
Intelligence?
• Ability to interact with the world (speech,
vision, motion, manipulation)
• Ability to model the world and to reason
about it
• Ability to learn and to adapt
4. Goals in AI
• To build systems that exhibit intelligent
behavior
• To understand intelligence in order to
model it
6. A Brief History of AI
• 1943: McCulloch and Pitts propose a model
of artificial neurons
• 1956 Minsky and Edmonds build first
neural network computer, the SNARC
7. The Dartmouth Conference
(1956)
• John McCarthy organizes a two-month
workshop for researchers interested in
neural networks and the study of
intelligence
• Agreement to adopt a new name for this
field of study: Artificial Intelligence
9. 1966-1974 Reality:
• AI problems appear to be too big and
complex
• Computers are very slow, very expensive,
and have very little memory (compared to
today)
11. 1980-1988 AI in industry:
• R1 becomes first successful commercial
expert system
• Some interesting phone company systems
for diagnosing failures of telephone service
12. 1990s to the present:
• Increases in computational power
(computers are cheaper, faster, and have
tons more memory than they used to)
• An example of the coolness of speed:
Computer Chess
13. Computer Chess
• 2/96: Kasparov vs Deep Blue
– Kasparov victorious: 3 wins, 2 draws, 1 loss
• 3/97: Kasparov vs Deeper Blue
– First match won against world champion
– 512 processors: 200 million chess positions per
second
How do you think it works???
19. Vision Systems
Face recognition and enhancement
http://www.ri.cmu.edu/labs/lab_51.html
Automated driving - No Hands across
America
Visual tracking systems
http://www1.cs.columbia.edu/CAVE/research/de
mos/.index.html