Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents".
Robotics is the interdisciplinary branch of engineering and science that includes mechanical engineering, electrical engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots,[1] as well as computer systems for their control, sensory feedback, and information processing.
Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents".
Robotics is the interdisciplinary branch of engineering and science that includes mechanical engineering, electrical engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots,[1] as well as computer systems for their control, sensory feedback, and information processing.
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
This presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
This presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
PowerPoint Presentation on the topic "Artificial Intelligence" including the brief history,information about the founders and pioneers of the concept and the varied applications and future of Artificial Intelligence.
Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
JyotPrakash Gugnani, Student of sem 2 from department of journalism and mass communication, JIMS Vasant Kunj II talk about Areas of Artificial Intelligence. Have a Look!! For more updates: visit: jimssouthdelhi.com
Contents:
Introduction
History
Definition
Examples
New Related Literature
Advantage
Disadvantage
Summary
Conclusion
HISTORY
The idea of AI as far back as ancient Greece. Greek myths speak of Hephaestus, a blacksmith who created mechanical servants.
Fast forward to 1935, when the earliest substantial work in this field was done by Alan Turing, a logician and compter pioneer.
-TURING MACHINE
1951: Christopher Strachey wrote the first successful AI program
- COMPUTER CHECKERS PROGRAM
1956: John McCarthy coined the term Artificial Intelligence
1963: ANALOGY, a program created by Thomas Evans, proved that computers can solve IQ test analogy problems
1967: First successful knowledge-based program in science and mathematics
1972: SHRDLU created by Terry Winograd
- Robot arm responded to commands
1987: Marvin Minsky publishes The Society of Mind, which portrays the brain as a series of cooperating agents
1997: A chess program, Deep Blue, beats the current world chess champion, Gary Kasparov
2000’s: Interactive robot smart toys are made commercially available
Define an Artificial Intelligence……. ?
EXAMPLES
1. Google Maps and Ride-Hailing Applications
2. Face Detection and Recognition
3. Text Editors or Autocorrect
4. Chatbots
5. Online-Payments
NEWS RELATED LITERATURE
ADVANTAGE
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
5. What is AI?
Programs that behave externally like humans?
Programs that operate internally as humans do?
Computational systems that behave intelligently?
Rational behavior?
6. ARTIFICIAL INTELIGENCE
INTELIGENCE
Intelligence: “The capacity to learn and solve problems”
Artificial Intelligence: Artificial intelligence (AI) is the simulation of human
intelligence by machines.
• The ability to solve problems
• The ability to act rationally
• The ability to act like humans
7. • Human beings are
intelligent
• To be called
intelligent, a
machine must
produce responses
that are
indistinguishable
from those of a
human
8. 8
Program has common sense
if it automatically deduces for
itself
our ultimate objective is to
make programs that learn
from their experience as
effectively as humans do.
HISTORY
9.
10. The overall research goal of artificial intelligence is to
create technology that allows computers and machines
to function in an intelligent manner
11.
12. The overall research goal of artificial intelligence is to create technology that allows computers and
machines to function in an intelligent manner. The general problem of simulating (or creating)
intelligence has been broken down into sub-problems.
13. Reasoning, problem solving :
Researchers developed algorithms that imitated step-
by-step reasoning that humans use when they solve
puzzles or make logical deductions.
Knowledge representation :
Knowledge representation and knowledge
engineering are central to AI research. Many of the
problems machines are expected to solve will require
extensive knowledge about the world.
14. Planning :
Intelligent agents must be able to set goals and achieve them. This calls for an
agent that can not only assess its environment and make predictions, but also
evaluate its predictions and adapt based on its assessment.
Learning :
Machine learning, a fundamental concept of AI research since the field’s
inception, is the study of computer algorithms that improve automatically through
experience. Unsupervised learning is the ability to find patterns in a stream of input.
Social intelligence :
Affective computing is the study and development of systems that can recognize,
interpret, process, and simulate human affects.
Creativity :
A sub-field of AI addresses creativity both theoretically and practically .
General intelligence :
Many researchers think that their work will eventually be incorporated into a
machine with artificial general intelligence, combining all the skills mentioned above
and even exceeding human ability in most or all these areas.
17. 17
Artificial intelligence as
become a crucial part of
daily human lives today and
it assists in almost every
scenario whether you realize
it or not
Automated customer support
18. 18
The online shopping platform you use collects and
stores lots of information about your usage — whether
you like it or not.
Healthcare Intelligence
healthcare, artificial intelligence has already
proved to be a game-changer, improving every
part of the industry virtually.
19. 19
Collaboration of finance industry and artificial
intelligence is a perfect match.
Smart cars and drones
When it comes to AI applications, you can hardly get a
more prominent and better demonstration of the
technology than what smart cars, as well as drone
manufacturers, are accomplishing with it.
23. 23
• The positive impact AI research can
have on humanity will start to be
across many walks of life -much of
it behind the scenes
• Improved speech, voice, image
video recognition will change the
way interact with our
24. • AI has demonstrated
unprecedented growth. Sophia
the AI Robot, is the
quintessential
• Improved speech, voice, image
video recognition will change
the way interact with
ourdevices
• Personal assistants will
become more personal and
context aware
• More and more systems will
run autonomously to a point
25.
26. • Definition of robotics
• Robotics’ relevance to AI
• Current developments in the
field
• Current implementations
• Past successes in robotics
• Roadblocks to robotics research
• Future of robotics
Presentation Overview
27. Definition of Robotics
A robot is…
“An active artificial agent whose environment is the
physical world”
--Russell and Norvig
“A programmable, multifunction manipulator designed
to move material, parts, tools or specific devices
through variable programmed motions for the
performance of a variety of tasks”
--Robot Institute of America
28. Effectors
Sensors
Architecture
Integration of various inputs
◦ Hierarchy of information representation
Emotions
29. Effector vs. Actuator
Degrees of freedom (d.f.)
6 d.f. for free body in space
Locomotion
Statically stable vs.
Dynamically stable
Manipulation
Rotary vs. Prismatic motion
End Effector
Effectors
Four-finger Utah/MIT hand
31. Classical architecture
◦ shortcomings
Behavior-based architecture
Sensors
Reason about behavior of objects
Identify objects
Build maps
Avoid objects
Actuators
Design for a behavior-based mobile robot
(adapted from Fig 25.10 in AIMA)
32. Emotions
Energy-efficiency
Integration
◦ Hierarchy of information representation
Control structures
◦ Synthesis of neural nets and fuzzy logic
Robotic surgery
◦ Telepresence
Robot perception
◦ Face and object recognition
33. Emotions help prevent people from repeating
their mistakes (decisions that resulted in
negative feelings)
Recognizing emotions would allow robots to
become more responsive to users’ needs
Exhibiting emotions would help robots
interact with humans
34. Decides proper emotional
response to stimuli and
exhibits corresponding
facial expression, body
posture, and vocal quality
Behavioral response
serves either social or
self-maintenance
functions
Kismet smiling
35. Small electric pump
transfers 100cm3 of
oil from an external
bladder to its
reservoir, making
Seaglider dense
enough to sink
To dive, small motor
pushes battery pack
into nose
Process is reversed to
ascend
Seaglider’s diving process
36. Industrial robots
◦ used in factories to
manufacture boxes and
pack and wrap merchandise
Car manufacturers own
50% of today’s robots
Robots used in hazardous
situations
◦ Nuclear power plants
◦ Response to bomb threat
◦ Outer space exploration Robotic arm arranging
chocolates
37. Honda’s Asimo (Advanced
Step in Innovative Mobility)
Able to walk freely (can
change stride speed)
Able to balance on one foot
Able to climb stairs
Able to manipulate objects
Space- & cost-efficient
Honda’s Asimo
38. Based on visual cues
such as the angle and
distance at which it
perceives an object
Can map an object's
contour and compare it
to a database of
prototypes for different
expressions and actions
Is currently limited to
pre-registered people ASIMO making measurements
40. Sensing
◦ Cost of tactile sensors
very high
◦ Range Limits
Light – 2 meters
Required(factory) – 10
meters
Vision
◦ Two methods
Corner recognition
Edge recognition
◦ Overlap of objects
◦ Visibility of local
features
41. Control
◦ Simulation is not
accurate to real world
interaction
◦ Based on
mathematical and
numerical
computations
Reasoning
◦ AI (an essential
component of
robotics) has slowly
been introduced into
industrial world
◦ Further refinement in
this field before faster
progress of robotics
42. Downsizing
◦ Reduction in power
needs and size
Synergism
◦ Greater integration of
technologies
Greater intelligence
◦ More user-friendly
interface
More environmentally
friendly
◦ Robots easy to
disassemble and
destroy
◦ Easily reusable or
degradable parts
43. Design robots to
recognize presence,
posture, and gaze
Develop viable social
exchange between
robots and humans
Design systems that
can learn via
reinforcement