MOTION & MANIPULIATION IN ARTIFICIAL INTELLIGENCE
What is AI? Research Field AI? What is motion and manipulation? Present About AI How motion and manipulation. Future planning of AI with Motion & Manipulation. Explain With Eg in Detail Advantage Of motion & manipulation Perception Conclusion
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
Introduction to artifcial intelligence
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
Data science is an interdisciplinary field that uses algorithms, procedures, and processes to examine large amounts of data in order to uncover hidden patterns, generate insights, and direct decision making.
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.
6 use cases of machine learning in Finance Swathi Young
The use of Artificial Intelligence and Machine learning is increasingly adopted in multiple industries. Question is, does a regulated industry like Finance adopt AI/ML? the answer is a huge YES! Here we take a look at 6 different use cases:
* Chatbots
* RoboAdvisors
* Risk scoring
* Fraud Detection
* Insurance claims
* Underwriting
* regulatory compliance
Artificial Intelligence (A.I.) || Introduction of A.I. || HELPFUL FOR STUDENT...Shivangi Singh
Powerpoint Presentation on Artificial Intelligence which is helpful for students and anyone who want to gain information on A.I. . Helpful in college / school / university presentation on Artificial Student. Officials Personnel also use this for their use.
This Power Point Presentation is completely made by me.
If anyone want this ppt please email at : devashreeapplications@gmail.com
Or you can DM me on my Instagram Handle==> ID:: @theshivangirajpoot(SHERNI)
Thankyou for your interest:):)
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
Elements of artificial Intelligence.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Introduction to artifcial intelligence
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
Data science is an interdisciplinary field that uses algorithms, procedures, and processes to examine large amounts of data in order to uncover hidden patterns, generate insights, and direct decision making.
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.
6 use cases of machine learning in Finance Swathi Young
The use of Artificial Intelligence and Machine learning is increasingly adopted in multiple industries. Question is, does a regulated industry like Finance adopt AI/ML? the answer is a huge YES! Here we take a look at 6 different use cases:
* Chatbots
* RoboAdvisors
* Risk scoring
* Fraud Detection
* Insurance claims
* Underwriting
* regulatory compliance
Artificial Intelligence (A.I.) || Introduction of A.I. || HELPFUL FOR STUDENT...Shivangi Singh
Powerpoint Presentation on Artificial Intelligence which is helpful for students and anyone who want to gain information on A.I. . Helpful in college / school / university presentation on Artificial Student. Officials Personnel also use this for their use.
This Power Point Presentation is completely made by me.
If anyone want this ppt please email at : devashreeapplications@gmail.com
Or you can DM me on my Instagram Handle==> ID:: @theshivangirajpoot(SHERNI)
Thankyou for your interest:):)
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
Elements of artificial Intelligence.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Complete CHAPTER 3 Data Communication.pdfAmna Nawazish
CHAPTER 3
DATA COMMUNICATION
TERMINOLOGIES
DATA
COMMUNICATION
DATA COMMUNICATION
COMPONENTS OF THE COMMUNICATION SYSTEM
Message
Sender
Receiver
Medium
Protocol
STANDARDS
CHARACTERISTICS OF DATA TRANSMISSIONS
SIGNAL
TYPES OF SIGNAL
Analog Signals With Example
Characteristics Of Analog Signals
Amplitude
Frequency
Digital Signals With Examples
DIFFERENCE BETWEEN ANALOG AND DIGITAL SIGNAL
TRANSMISSION MODES (Asynchronous And Synchronous)
ASYNCHRONOUS TRANSMISSION WITH EXAMPLE
SYNCHRONOUS TRANSMISSION WITH EXAMPLE
DIFFERENCES BETWEEN SYNCHRONOUS AND ASYNCHRONOUS TRANSMISSION
DIRECTION OF TRANSMISSION
Simplex Mode With Example, Advantages And Disadvantages
Half-Duplex Mode With Example, Advantages And Disadvantages
Full-Duplex Mode With Example, Advantages And Disadvantages
DIFFERENCES BETWEEN THE TYPES OF TRANSMISSION MODES
DATA COMMUNICATION SPEED AND MEDIA
DATA COMMUNICATION SPEED
BANDWIDTH
Narrowband
Voice band
Broadband
DATA COMMUNICATION MEDIA
Twisted-Pair Cable With Reason for twisting
Coaxial Cable
Fiber Optics Cable With Advantages And Disadvantages
Microwaves
Terrestrial
Satellite
COMMUNICATION HARDWARE
MODEM
OSI MODEL
Application Layer
Presentation Layer
Session Layer
Transport Layer
Network Layer
Data Link Layer
Physical Layer
DATA
The collection of raw facts and figures is called data. The word data is derived from the Latin language and it is plural of Datum. The text, numbers, symbols, images, voice, and video which are processed by computers and digital devices are called data. Data can be considered as unprocessed information.
COMMUNICATION
Communication is the process of sharing a message. A conversation between two people is an example of communication.
DATA COMMUNICATION
Data Communication is the process of transferring data electrically from one place to another. It is the process of exchange of data and information between two parties such as humans and electronic or computing devices.
COMPONENTS OF COMMUNICATION SYSTEM
A Communication system has the following five components.
Message
It is the information or data to be communicated. Common forms of information include text, numbers, pictures, audio, and video.
Sender
It is the device that generates and sends a message. It can be a computer, telephone handset, etc.
Receiver
Any particular digital electronic device can receive data in form of a message. The location of receiving computer is generally different from the sending computer. Like the sender, it can also be a computer, telephone handset, etc.
Medium
It is the channel or path through which the message is carried from the sender to the receiver. Some examples include twisted-pair cable, coaxial cable, radio waves, etc.
Protocol
Protocols are the rules and procedures by which computers exchange data on the network. The sender and receiver follow the same protocols to communicate with each other. In other words, a protocol is an agreement between two parties or vendors, using communication devices.
STANDARDS
Standards are the set of rules for data communication that are needed for the exchange of information among devices. It is important to follow Standards that are created by various Standard Organizations like IEEE, ISO, ANSI, etc.
CHARACTERISTICS OF DATA TRANSMISSIONS
Data communication has several characteristics but some are discussed below:
1.Signal type
2.Transmission mode
3.Direction of transmission
1.SIGNAL
A signal is an electromagnetic or electrical current that carries data from one system or network to another.
TYPES OF SIGNAL
There are two types of signals discussed below:
Analog Signals
Analog signals are continuously varying signals or waves that change with time and are used to represent data.
Characteristics Of Analog Signals
Amplitude
The amplitude of a signal refers to the height of the signal. It is equal to the vertical distance from a given point on the waveform to the horizontal axis. It is measured in volts.
Frequency
Frequency refers to the number of periods in one second or the number of cycles per second. Frequency is measured in Hertz (Hz).
Digital Signals
A digital signal is an electrical signal that is converted into a pattern of bits to represent a sequence of discrete values, at any given time.
Element compound and mixtures element, Metal and non metal with example, Compound ith example, Mixture with example, Electric circuits, Types of electric circuits, What is an electric current?, How to measure current?, Symbols, Voltage, Measurement of voltage
Biography, Introduction, Early life, Acceptance of Islam, His Role in Prophet’s (S.A.W.) Migration to Madinah, His Marriage with Fatimah (R.A.), His Bravery and Struggle to Support Islam, Ali (R.A.) During Caliphate of Abu Bakr (R.A.), Ali (R.A.) During Caliphate of Umar ibn Al-Khattab (R.A.), Ali (R.A.) During Caliphate of Usman ibn Affan (R.A.), Ali Ibn Abi Talib (R.A.): The Fourth Caliph, His Martyrdom
Definition of routing information protocol, Details of routing information protocol, RIP's version, Advantages of routing information protocol, Disdvantages of routing information protocol, Features of routing information protocol, RIP updating algorithm, Topology, Ring topology
Definition of routing information protocol, Routing information protocol versions, Features of routing information protocol, Routing information protocol updating algorithm, Ring topology, Command line interface code
Floppy disk definition, Types of floppy disk, History of floppy disk, Parts of floppy disk, Major parts of floppy disk, Working of floppy disk, Advantages of floppy disk and Disadvantages of floppy disk, Introduction of floppy disk
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.”
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
3. NAME TOPICS
What is AI?
Resrch Field AI?
What is motion amd manipulation..?
Presnt About AI
How motion and manipulation.
Future plning of AI with Motion & Manipulation.
Expln With Eg in Detail
Advntage Of motion & manipulation
Preception
Conclusion
PROJECT PLANNING
Each person's search their own topic.All topics are compiled by group leader
4. ARTIFICIAL INTELLIGENCE
Artificial intelligence (AI) is intelligence demonstrated by
machines, unlike the natural intelligence displayed by humans
and animals, which involves consciousness and emotionality.
The distinction between the former and the latter categories is
often revealed by the acronym chosen. 'Strong' AI is usually
labelled as artificial general intelligence (AGI) while attempts
to emulate 'natural' intelligence have been called artificial
biological intelligence (ABI).
5. RESEARCH FIELD IN AI
The history of Artificial Intelligence (AI) began in antiquity,
with myths, stories and rumors of artificial beings endowed with
intelligence or consciousness by master craftsmen. The seeds of
modern AI were planted by classical philosophers who attempted
to describe the process of human thinking as the mechanical
manipulation of symbols. This work culminated in the invention
of the programmable digital computer in the 1940s, a machine
based on the abstract essence of mathematical reasoning.
6. MOTION & MANIPULATION
In physics, motion is the
phenomenon in which an object
changes its position over time.
Motion is mathematically
described in terms of displacement,
distance, velocity, acceleration,
speed, and time.
To control someone/situation
cleverly and skillfully for own
advantage or to control something
with hands. Psychological
manipulation is a type of social
influence that aims to change the
behavior or perception of others
through indirect, deceptive, or
underhanded tactics.
7. PRESENT ABOUT AI
In recent years, we have seen a significant surge in Artificial
Intelligence technologies, such as robotics being used for
surgeries and the third generation of AI – The Era of Deep
Learning.
8. PRESENT ABOUT AI
AI is already being used many
scale applications. The most
common examples are:
• Vacuum cleaners
• Smart cars
• Self-driving cars
• Personal assistant robots
9. MOTION & MANIPULATION IN AI
Intelligence is required for robots to be able to handle such
tasks as object manipulation & navigation, with sub problems
of localization(knowing where you are), mapping(learning
what is around you) & motion planning figuring out how to
get there.
10. FUTURE PLANNING OF AI WITH
MOTION & MANIPULATION
The motion of Artificial intelligence is impacting the future of
virtually every industry and every human being. Artificial
intelligence has acted as the main driver of emerging
technologies like big data, robotics and IoT, and it will
continue to act as a technological innovator for the foreseeable
future.
11. ADVATAGES & DISADVATGES
• Offer high precision.
• Do not depend on external
factors such as no. of cameras.
• Compute’s rotations directly.
• Portable, unlimited range.
• Less expensive.
• It requires particular hardware
and special software program
to produce and process data.
• The cost of software,
equipment and personnel
required can potentially be
prohibitive for the small
productions.
12. PERCEPTION
Machine perception is the
ability to use input from
sensors(such as cameras,
microphones, sonar and other
more exotic) to deduce aspects
of the world. -Computer is the
ability to analyze visual input.
13. CONCLUSION
AI is at the center of a new enterprise to build computational
models of intelligence so If we think positive and do few
research we can do a lot researches and a lot of creations
through motion and manipulation and every thing in this
world is inter connected with each other so we just have to
think that how we use it to solve our problems.