The document discusses artificial intelligence (AI) and its applications. It defines AI as computer systems that can perform human-like tasks such as problem-solving, reasoning, learning, and perception. It outlines the types of AI including narrow/weak AI that is specialized in single tasks, and general/strong AI with human-level cognitive abilities. The stages of AI development are also discussed ranging from reactive machines to theoretical self-aware AI. The document further explores machine learning, deep learning, neural networks, and their role in AI. It provides examples of how AI is used in daily life for tasks like virtual assistance, social media, healthcare, security, translation, smart homes, navigation, e-commerce, and entertainment. In conclusion
Artificial intelligence is the branch of computer science dealing with intelligent machines. There are two main methods of AI: symbolic AI which focuses on knowledge-based systems, and computational intelligence which includes neural networks, fuzzy systems, and evolutionary computing. Important early pioneers of AI included John McCarthy, Alan Turing, and researchers at Stanford. AI is being applied in many areas including cars, banking, phones, the internet, medicine, games, military, and more. While predicting the future is difficult, gradual advances will continue and AI may match human level intelligence in the coming decades, though jobs and work will continue to be impacted by intelligent technologies.
The document discusses various applications of artificial intelligence including in web technologies, medicine, transportation, heavy industry, and more. It provides definitions of AI and the Turing test. It also outlines several computer science applications of AI such as natural language processing, computer vision, knowledge representation, and data mining.
Artificial intelligence (AI) is the science of training systems to emulate human tasks through learning and automation. It has evolved from neural networks in the 1950s-1970s to today's machine learning, deep learning, and cognitive systems. AI can be both a threat and opportunity - it can help businesses gain competitive advantages through increased efficiency, customer insights, and reduced costs, but may also replace some human jobs. The document then provides examples of how companies in various industries like telecom, manufacturing, financial services, and conservation are using AI capabilities like machine learning, natural language processing, forecasting and optimization to solve problems. In general, humans are good at common sense, creativity and empathy while machines are good at processing large datasets,
Artificial intelligence refers to machines performing tasks that normally require human intelligence, such as recognizing speech, making decisions, and learning from experience. The field of AI was founded in 1956 and has experienced periods of intense research and reduced interest. John McCarthy is considered the father of AI for coining the term. There are several types of AI including machine learning, neural networks, expert systems, computer vision, and natural language processing. AI has many applications across industries like healthcare, finance, and transportation but also faces challenges regarding data privacy, bias, and limitations.
Advancement in artificial intelligence: Should Humans be Worried?Raymond Owusu
This document provides an overview of artificial intelligence (AI) including its history, types, technologies, applications, and concerns about its advancement. It defines AI as making intelligent machines through computer programs. It discusses weak AI which is designed for specific tasks, and strong AI which would have general human-level abilities. Key AI technologies explained include machine learning, deep learning, natural language processing, computer vision, and robotics. The document outlines many applications of AI in fields such as healthcare, transportation, education, business, manufacturing and more. It notes concerns from experts like Hawking, Musk and Gates that achieving super intelligent AI without proper oversight could potentially threaten humanity.
Artificial intelligence is the simulation of human intelligence by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision. The document discusses three types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines several advantages of AI such as low error rates, precision, and ability to complete dangerous tasks. The document explores fields where AI is used like machine translation, facial recognition, virtual assistants, and self-driving cars.
This document discusses artificial intelligence (AI) and defines it as making computers do intelligent tasks like humans. It explains that AI works using artificial neurons in artificial neural networks and scientific theorems. Neural networks are composed of interconnected artificial neurons that mimic biological neurons. The document also outlines the history of AI and some applications like medical diagnosis systems. It compares human and artificial intelligence, noting machines can process large data quickly while humans have intuition and common sense. Finally, it argues AI is important for supplementing human work and labor.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950
This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
Artificial intelligence (AI) is a growing field that aims to make machines intelligent like humans. There are two main types of AI: narrow AI, which focuses on single tasks like driving cars, and general AI, which aims for human-level cognition. The document outlines the history and categories of AI, as well as the knowledge and skills needed to work in the field. It also discusses many applications of AI in business, healthcare, transportation and more. While demand for AI talent is high, there is currently a lack of people with the right skills to work in AI.
This document provides an overview of artificial intelligence (AI), including definitions, a brief history, methods, applications, achievements, and the future of AI. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. The document outlines two categories of AI methods - symbolic AI and computational intelligence - and discusses applications of AI in domains like finance, medicine, gaming, and robotics. It also notes some achievements of AI and predicts that AI will continue growing exponentially and potentially change the world.
This document provides an introduction to artificial intelligence (AI) including definitions, goals, branches, and applications. It defines AI as computers with the ability to mimic human intelligence through learning from experience and handling complex problems. The main goals of AI are to better understand human intelligence by writing programs that emulate it and to create useful programs to do tasks normally requiring human experts. Branches of AI discussed include vision systems, learning systems, robotics, expert systems, and neural networks. The document also outlines some present and future aspects of AI as well as ethics and risks.
Artificial Intelligence
What is Intelligence?
Intelligence Composed of
Goals of AI
Philosophy of AI
Types of Intelligence
Contributes to AI
AI Fields of Study
Applications of AI
Advantages of Artificial Intelligence
Disadvantages / Limitation / Drawbacks of Artificial Intelligence
Issues of Artificial Intelligence
Artificial intelligence- The science of intelligent programsDerak Davis
Artificial intelligence (AI) involves creating intelligent computer programs and machines that can interact with the real world similarly to humans. AI uses techniques like machine learning, deep learning, and neural networks to allow programs to learn from data and experience without being explicitly programmed. While AI has potential benefits, some experts warn that advanced AI could pose risks if not developed carefully due to concerns it could become difficult for humans to control once a certain level of intelligence is achieved.
This document provides an overview of artificial intelligence (AI), including its history, languages, applications, and limitations. It defines AI as making computers think like humans through studying processes like reasoning, learning, and problem-solving. The document discusses pioneering AI languages like Lisp and Prolog and applications such as natural language understanding, expert systems, planning, robotics, and machine learning. It also notes some limitations of AI like its limited ability compared to humans, slow real-time response, inability to handle emergencies, difficulty of coding, and high costs.
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
This document provides an introduction to artificial intelligence, including its history, limitations of human intelligence, applications of AI, and advantages and disadvantages of AI. It discusses early attempts at creating artificial life in stories like Frankenstein. It also covers robotics research from Shakey the robot in 1970 to modern robots designed to work in colonies. Applications of AI mentioned include military, entertainment, healthcare, banking, and insurance. Advantages include improved medical diagnostics using expert systems. Disadvantages include potential issues from self-modifying and self-replicating systems. The conclusion discusses the evolving concept of artificial life and intelligence.
This presentation covers
- Introduction to Artificial Intelligence
- Philosophy of A.I
- Real-life Examples
- Major Applications Of A.I
- A.I.-: Need Of The Hour
- Drawbacks.
-Vigyanam RKGIT, Ghaziabad
Artificial intelligence refers to the simulation of human intelligence in machines. The goals of artificial intelligence include learning, reasoning, and perception. AI is being used across different industries including finance and healthcare.
9 Examples of Artificial Intelligence in Use TodayIQVIS
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Computer vision is the automation of human visual perception to allow computers to analyze and understand digital images. The goal is to emulate the human visual system through techniques like deep learning. Computer vision involves image acquisition, processing, and analysis to interpret images beyond just recording them. It has applications in areas like object detection, facial recognition, medical imaging, and self-driving cars. While it provides advantages like unique customer experiences, it also raises privacy concerns regarding how the data used is collected and stored.
Artificial intelligence (AI) is a branch of computer science that studies how to build intelligent systems and machines that can act like humans. It involves developing systems that can perceive their environment, reason about what they observe, and learn from experiences. Some key applications of AI include expert systems, natural language processing, computer vision, robotics, and automatic programming. In conclusion, while AI has made progress in understanding intelligence and providing useful applications, fully replicating human reasoning and intelligence remains an ongoing challenge.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950
This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
Artificial intelligence (AI) is a growing field that aims to make machines intelligent like humans. There are two main types of AI: narrow AI, which focuses on single tasks like driving cars, and general AI, which aims for human-level cognition. The document outlines the history and categories of AI, as well as the knowledge and skills needed to work in the field. It also discusses many applications of AI in business, healthcare, transportation and more. While demand for AI talent is high, there is currently a lack of people with the right skills to work in AI.
This document provides an overview of artificial intelligence (AI), including definitions, a brief history, methods, applications, achievements, and the future of AI. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. The document outlines two categories of AI methods - symbolic AI and computational intelligence - and discusses applications of AI in domains like finance, medicine, gaming, and robotics. It also notes some achievements of AI and predicts that AI will continue growing exponentially and potentially change the world.
This document provides an introduction to artificial intelligence (AI) including definitions, goals, branches, and applications. It defines AI as computers with the ability to mimic human intelligence through learning from experience and handling complex problems. The main goals of AI are to better understand human intelligence by writing programs that emulate it and to create useful programs to do tasks normally requiring human experts. Branches of AI discussed include vision systems, learning systems, robotics, expert systems, and neural networks. The document also outlines some present and future aspects of AI as well as ethics and risks.
Artificial Intelligence
What is Intelligence?
Intelligence Composed of
Goals of AI
Philosophy of AI
Types of Intelligence
Contributes to AI
AI Fields of Study
Applications of AI
Advantages of Artificial Intelligence
Disadvantages / Limitation / Drawbacks of Artificial Intelligence
Issues of Artificial Intelligence
Artificial intelligence- The science of intelligent programsDerak Davis
Artificial intelligence (AI) involves creating intelligent computer programs and machines that can interact with the real world similarly to humans. AI uses techniques like machine learning, deep learning, and neural networks to allow programs to learn from data and experience without being explicitly programmed. While AI has potential benefits, some experts warn that advanced AI could pose risks if not developed carefully due to concerns it could become difficult for humans to control once a certain level of intelligence is achieved.
This document provides an overview of artificial intelligence (AI), including its history, languages, applications, and limitations. It defines AI as making computers think like humans through studying processes like reasoning, learning, and problem-solving. The document discusses pioneering AI languages like Lisp and Prolog and applications such as natural language understanding, expert systems, planning, robotics, and machine learning. It also notes some limitations of AI like its limited ability compared to humans, slow real-time response, inability to handle emergencies, difficulty of coding, and high costs.
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
This document provides an introduction to artificial intelligence, including its history, limitations of human intelligence, applications of AI, and advantages and disadvantages of AI. It discusses early attempts at creating artificial life in stories like Frankenstein. It also covers robotics research from Shakey the robot in 1970 to modern robots designed to work in colonies. Applications of AI mentioned include military, entertainment, healthcare, banking, and insurance. Advantages include improved medical diagnostics using expert systems. Disadvantages include potential issues from self-modifying and self-replicating systems. The conclusion discusses the evolving concept of artificial life and intelligence.
This presentation covers
- Introduction to Artificial Intelligence
- Philosophy of A.I
- Real-life Examples
- Major Applications Of A.I
- A.I.-: Need Of The Hour
- Drawbacks.
-Vigyanam RKGIT, Ghaziabad
Artificial intelligence refers to the simulation of human intelligence in machines. The goals of artificial intelligence include learning, reasoning, and perception. AI is being used across different industries including finance and healthcare.
9 Examples of Artificial Intelligence in Use TodayIQVIS
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Computer vision is the automation of human visual perception to allow computers to analyze and understand digital images. The goal is to emulate the human visual system through techniques like deep learning. Computer vision involves image acquisition, processing, and analysis to interpret images beyond just recording them. It has applications in areas like object detection, facial recognition, medical imaging, and self-driving cars. While it provides advantages like unique customer experiences, it also raises privacy concerns regarding how the data used is collected and stored.
Artificial intelligence (AI) is a branch of computer science that studies how to build intelligent systems and machines that can act like humans. It involves developing systems that can perceive their environment, reason about what they observe, and learn from experiences. Some key applications of AI include expert systems, natural language processing, computer vision, robotics, and automatic programming. In conclusion, while AI has made progress in understanding intelligence and providing useful applications, fully replicating human reasoning and intelligence remains an ongoing challenge.
Computer vision analyzes visual data like images and videos to understand and interpret them similarly to humans. It works by training models on large datasets to recognize patterns and classify objects. Applications include face recognition for login, medical imaging analysis, and computer vision in autonomous vehicles. The future of computer vision may involve combining it with natural language processing for image captioning and visual assistance applications.
Computer vision lets machines see, understand, and act on visual data using AI—powering tech like self-driving cars, facial recognition, and smart healthcare.
Computer vision is a field of artificial intelligence that trains computers to interpret and understand visual images. Thanks to advances in deep learning and neural networks, computer vision has made great strides in recent years, surpassing humans in some tasks. The document discusses the history and applications of computer vision, including in areas like self-driving cars, facial recognition, and augmented reality. It also outlines some future directions for computer vision research and applications over the next decade, such as in medical imaging, surveillance, and helping to power virtual reality experiences.
This document discusses several applications of artificial intelligence (AI) that are expected to grow in the coming years. It outlines 7 key areas where AI will have an impact: 1) chatbots to enhance customer service, 2) using AI in ecommerce for image recognition, 3) improving workplace communication, 4) transforming human resource management, 5) advancing healthcare through medical applications, 6) strengthening cybersecurity, and 7) enhancing personalized retail experiences through customer data analysis.
This document provides an overview of computer vision presented by team 4BIT Coder. It begins with introductions and then covers the following key points in 3 sentences or less each:
- The goal of computer vision is to understand digital images like the human visual system and allow computers to interpret images.
- Computer vision works through pattern recognition, training on large visual datasets to identify and model objects.
- Applications include smartphones, web search, VR/AR, medical imaging, insurance, and self-driving cars through real-time video processing.
swetha(w)-av-presentation-How Computer Vision Has Changed Daily Life.pdf.pdfswethag283189
Computer Vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs. Based on this data, computers can take specific actions or make decisions.
Computer vision is a field of artificial intelligence that uses computer algorithms to analyze and understand digital images. It draws on engineering and science to develop technologies that can improve how machines perceive objects like humans. Computer vision has applications in self-driving cars, facial recognition, health technologies, and more. It works by training computer systems on large datasets of images to recognize patterns and classify objects.
Computer vision is the field of artificial intelligence that teaches machines to understand the visual world similarly to humans. It has progressed significantly in recent years due to advances in deep learning techniques. Computer vision algorithms are trained on large datasets to recognize patterns and identify objects. It is used in applications like smartphone cameras, web search, self-driving cars, medical imaging, and more. However, computer vision still faces challenges in matching human-level visual recognition abilities.
and misuse. As AI use grows, so does the need to keep it safe and just. With ...yelav67517
AI ethics is a set of ways to guide AI use. It helps make AI safe, just, and less biased. Its aim is to keep tech aligned with social needs.
Key ideas include safety, bias checks, and open use. AI ethics makes tech work well with human values.
Order Lepidoptera: Butterflies and Moths.pptxArshad Shaikh
Lepidoptera is an order of insects comprising butterflies and moths. Characterized by scaly wings and a distinct life cycle, Lepidoptera undergo metamorphosis from egg to larva (caterpillar) to pupa (chrysalis or cocoon) and finally to adult. With over 180,000 described species, they exhibit incredible diversity in form, behavior, and habitat, playing vital roles in ecosystems as pollinators, herbivores, and prey. Their striking colors, patterns, and adaptations make them a fascinating group for study and appreciation.
Here is the current update:
CURRENT CASE COUNT: 897
- Texas: 742 (+14) (55% of cases are in Gaines County). Includes additional numbers from El Paso.
- New Mexico: 79 (+1) (83% of cases are from Lea County)
- Oklahoma: 17
- Kansas: 59 (+3) (38.89% of the cases are from Gray County)
HOSPITALIZATIONS: 103
- Texas: 94 – This accounts for 13% of all cases in Texas.
- New Mexico: 7 – This accounts for 9.47% of all cases in New Mexico.
- Kansas: 3 – This accounts for 5.08% of all cases in Kansas.
DEATHS: 3
- Texas: 2 – This is 0.28% of all cases in Texas.
- New Mexico: 1 – This is 1.35% of all cases in New Mexico.
US NATIONAL CASE COUNT: 1,132 (confirmed and suspected)
INTERNATIONAL SPREAD
Mexico: 1,856(+103), 4 fatalities
- Chihuahua, Mexico: 1,740 (+83) cases, 3 fatalities, 4 currently hospitalized.
Canada: 2,791 (+273)
- Ontario, Canada: 1,938 (+143) cases. 158 (+29) hospitalizations
- Alberta, Canada: 679 (+119) cases. 4 currently hospitalized
Based in Wauconda, Diana Enriquez teaches dual-language social studies at West Oak Middle School, guiding students in grades 6-8. With a degree from Illinois State University and an ESL/Bilingual certification, she champions diversity and equity in education. Diana’s early experience as a special education paraprofessional shaped her commitment to inclusive and engaging learning.
Students will research and orally present a Colombian company using a visual tool, in order to develop their communication skills and intercultural understanding through the exploration of identity, innovation, and local culture, in connection with the IB global themes.
Pragya Champion's Chalice is the annual Intra Pragya General Quiz hosted by the club's outgoing President and Vice President. The prelims and finals are both given in the singular set.
How to Manage Orders in Odoo 18 Lunch - Odoo SlidesCeline George
The Lunch module in Odoo 18 helps users place their food orders, making meal management seamless and efficient. It allows employees to browse available options, place orders, and track their meals effortlessly.
The PDF titled "Critical Thinking and Bias" by Jibi Moses aims to equip a diverse audience from South Sudan with the knowledge and skills necessary to identify and challenge biases and stereotypes. It focuses on developing critical thinking abilities and promoting inclusive attitudes to foster a more cohesive and just society. It defines bias as a tendency or prejudice affecting perception and interactions, categorizing it into conscious and unconscious (implicit) biases. The content highlights the impact of societal and cultural conditioning on these biases, particularly within the South Sudanese context.
How to Use Owl Slots in Odoo 17 - Odoo SlidesCeline George
In this slide, we will explore Owl Slots, a powerful feature of the Odoo 17 web framework that allows us to create reusable and customizable user interfaces. We will learn how to define slots in parent components, use them in child components, and leverage their capabilities to build dynamic and flexible UIs.
How to Create a Stage or a Pipeline in Odoo 18 CRMCeline George
In Odoo, the CRM (Customer Relationship Management) module’s pipeline is a visual representation of a company's sales process that helps sales teams track and manage their interactions with potential customers.
How to Configure Add to Cart in Odoo 18 WebsiteCeline George
In this slide, we’ll discuss how to configure the Add to Cart functionality in the Odoo 18 Website. This feature enhances the shopping experience by offering three flexible options: Stay on the Product Page, Go to the Cart, or Let the User Decide through a dialog box.
"Hymenoptera: A Diverse and Fascinating Order".pptxArshad Shaikh
Hymenoptera is a diverse order of insects that includes bees, wasps, ants, and sawflies. Characterized by their narrow waists and often social behavior, Hymenoptera play crucial roles in ecosystems as pollinators, predators, and decomposers, with many species exhibiting complex social structures and communication systems.
Happy Summer Everyone. This is also timeless for future viewing.
You all have been upgraded from ‘Guest’ Students to ‘Graduate’ Students. Do Welcome Back. For new guests, please see our free weekly workshops from Spring ‘25’
Blessings, Love, and Namaste’.
Do Welcome to Summer ‘25’ for LDMMIA.
TY, for surviving our First Season/Term of our Reiki Yoga Workshops. These presentations/workshop are designed for your energy wellness.
Also, professional expansion for Summer ‘25’. All updates will be uploaded here and digital notes within our Merch Shop. (I am Completely, using the suggestions of AI for my Biz style. Its spooky accurate. So far, AI has been very helpful for office and studio admin. I even updated my AI avatars. Similar to my SL Meta avatar.)
Do take Care of yourselves. This is only a Bonus Checkin. The Next Workshop will be Lecture/Session 8. I will complete by Friday.
https://ldm-mia.creator-spring.com/
Search Engine Optimization (SEO) for Website Successmuneebrana3215
Unlock the essentials of Search Engine Optimization (SEO) with this concise, visually driven PowerPoint. Inside you’ll find:
✅ Clear definitions and core concepts of SEO
✅ A breakdown of On‑Page, Off‑Page, and Technical SEO
✅ Actionable best‑practice checklists for keyword research, content optimization, and link building
✅ A quick‑start toolkit featuring Google Analytics, Search Console, Ahrefs, SEMrush, and Moz
✅ Real‑world case study demonstrating a 70 % organic‑traffic lift
✅ Common challenges, algorithm updates, and tips for long‑term success
Whether you’re a digital‑marketing student, small‑business owner, or PR professional, this deck will help you boost visibility, build credibility, and drive sustainable traffic. Download, share, and start optimizing today!
"Orthoptera: Grasshoppers, Crickets, and Katydids pptxArshad Shaikh
Orthoptera is an order of insects that includes grasshoppers, crickets, and katydids. Characterized by their powerful hind legs, Orthoptera are known for their impressive jumping ability. With diverse species, they inhabit various environments, playing important roles in ecosystems as herbivores and prey. Their sounds, often produced through stridulation, are distinctive features of many species.
Odoo 18 Point of Sale PWA - Odoo SlidesCeline George
Progressive Web Apps (PWA) are web applications that deliver an app-like experience using modern web technologies, offering features like offline functionality, installability, and responsiveness across devices.
POS Reporting in Odoo 18 - Odoo 18 SlidesCeline George
To view all the available reports in Point of Sale, navigate to Point of Sale > Reporting. In this section, you will find detailed reports such as the Orders Report, Sales Details Report, and Session Report, as shown below.
2. Contents
01 Artificial intelligence Introduction
02 Types of AI
03 Goals of AI
04 Pro’s and Con’s
05 Major Subfields of AI
06 Introduction to Computer vision
07 Computer vision system methods:
08 Image Analysis Using Computer Vision
09 Applications and Challenges
10 Conclusion
3. • is composed of two words Artificial and
Intelligence, where Artificial defines "man-
made," and intelligence defines "thinking
power", hence AI means "a man-made thinking
power.“
• AI is a branch of computer science that refers to
the simulation of human intelligence in machines
that are programmed to mimic cognitive
functions such as learning, problem-solving, and
decision-making.
Artificial Intelligence Introduction
4. Why Artificial Intelligence ?
With the help of AI, we can create such as
● software or devices which can solve real-world
problems very easily and with accuracy such as
health issues, marketing, traffic issues, etc.
● personal virtual Assistant, such as Cortana,
Google Assistant, Siri, etc.
● can build such Robots which can work in an
environment where survival of humans can be
at risk.
● AI opens a path for other new technologies,
new devices, and new Opportunities.
8. Advantages and Disadvantages of AI
Pros
• It reduces human error.
• It never sleeps, so it’s
available 24x7.
• It never gets bored, so it
easily handles repetitive
tasks.
• It’s fast.
Cons
• It’s costly to implement.
• It can’t duplicate human
creativity.
• It will definitely replace some
jobs, leading to unemployment.
• People can become overly
dependent on it.
11. • is a subfield of artificial intelligence that deals with
acquiring, processing, analyzing, and making
sense of visual data such as digital images and
videos.
• Enables machine to learn and understand the
images at pixel level through training and
validation.
• capable of extracting meaningful information
from visual data ,handle it and interpret the result
by getting training from algorithms.
Computer vision in AI
17. • Variability in Lighting Conditions
• Occlusions
• Scale Variation
• Viewpoint Variation
• Deformations
• Adverse Weather Conditions
• Limited Data and Annotation
• Integration with Other Sensors and Systems
• Ethical and Privacy Concerns
18. • The future of computer vision is a journey into a world where
machines understand and interact with the visual reality in which that
were the domain of science fiction. From transforming healthcare and
transportation to revolutionizing retail and environmental monitoring,
computer vision is set to become a fundamental technology that
shapes our future.
• As we embrace these advancements, computer vision will not only
enhance machine capabilities but also enrich human lives, offering
new perspectives and solutions to the complex challenges of our
world.
