Artificial intelligence (AI) is defined as intelligence demonstrated by machines in contrast to the natural intelligence displayed by humans. AI is the study of ideas that enable computers to be intelligent by learning new concepts and tasks, reasoning and drawing useful conclusions, and understanding natural language. The evolution of AI has progressed slowly over time with advances in technology. There are different approaches to creating AI systems and various applications of AI in fields such as computer science, aviation, finance, and more.
The following presentation is about the artificial intelligence and its future,scope and growth. It also discuses about the history and various applications of AI in current industry.
The following presentation is about the artificial intelligence and its future,scope and growth. It also discuses about the history and various applications of AI in current industry.
A Seminar Report on Artificial IntelligenceAvinash Kumar
This is a seminar report on Artificial Intelligence. This is mainly concerned for engineering projects & reports. This is actually done for presentation purpose.
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.
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.
Artificial intelligence is purported to improve workplace productivity. But does it really? This presentation takes a hard look at where AI is today and which aspects can truly help today's Digital Workplace improve productivity.
This was our ppt which was created by us for the 1st time to participate in an a paper presentation that was conducted in our college. I know that there will be some mistakes but we apologize for all those things. We think that this was one of the colorful PPT for artificial intelligence as said by the judges in the hall :P lol, but even we will feel the same thanks to all of u guys Support us for our development thanks :)
An overlook of artificial intelligence with a quick insight of its definitions and know-hows.
History, applications and various usage of artificial intelligence in real life.
A Seminar Report on Artificial IntelligenceAvinash Kumar
This is a seminar report on Artificial Intelligence. This is mainly concerned for engineering projects & reports. This is actually done for presentation purpose.
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.
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.
Artificial intelligence is purported to improve workplace productivity. But does it really? This presentation takes a hard look at where AI is today and which aspects can truly help today's Digital Workplace improve productivity.
This was our ppt which was created by us for the 1st time to participate in an a paper presentation that was conducted in our college. I know that there will be some mistakes but we apologize for all those things. We think that this was one of the colorful PPT for artificial intelligence as said by the judges in the hall :P lol, but even we will feel the same thanks to all of u guys Support us for our development thanks :)
An overlook of artificial intelligence with a quick insight of its definitions and know-hows.
History, applications and various usage of artificial intelligence in real life.
Building Cognitive Applications with Watson APIs Dev_Events
Sandhya Kapoor, Senior Software Engineer, IBM @sandhyakapoor9
Frank Greco, Chairman, NYJavaSIG @frankgreco
The more we interact with “smart apps,” the more we hear the word cognitive being thrown around. But what does it actually imply? What is a cognitive application? Can you make your app cognitive? This session covers what these buzzwords mean and how to enhance your application with Watson APIs. The presenters build an application from scratch, using the Watson Java SDK, and discuss how to integrate Watson into your existing application.
this ppt includes what is a goal?
steps to remember while establising goals
Goal setting and types of goals
what is smart goals
dos and donts about goal setting
obstacles faced by goal setting
benefits of goal setting.
Artificial Intelligence in Project Management by Dr. Khaled A. HamdyAgile ME
Video recording of the Dr. Khaled's session can be found at https://youtu.be/TFNhvAXNU5E.
The presentation explores how Artificial Intelligence (AI) can be used in the Project Management field. The origins and history of AI are discussed followed by a brief simplified explanation of the theories behind its application. The actual utilization of AI tools in the Project Management domain is discussed covering diverse areas such as Engineering Design, Cost Estimating and Bidding, Planning and Scheduling, Risk Management, Performance Prediction as well as Project Monitoring and Control. The presentation concludes by a brief discussion about Data Management and Knowledge Engineering and how they are used today to simplify (or complicate) our lives.
10 Revealing Statistics About Compensation & Benefits You should KnowElodie A.
Discover the real secrets to compensation and benefits, and see what employees really want from their companies.
Learn more on Officevibe, the simplest tool for a greater workplace:
https://www.officevibe.com/
Download this slideshare for later:
http://bit.ly/2mbvfvM
Download your free guide about the ONE perk guaranteed to increase job satisfaction:
http://bit.ly/2mbuId2
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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/
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
2. What Is Artificial Intelligence???
Artificial Intelligence (AI) is
usually defined as the science
of making computers do things
that require intelligence when
done by humans.
A.I is the study of ideas that
enable computers to be
intelligent
3. Ways of thinking
• Two Ways:
• Conventional artificial intelligence
• Computational Intelligence
4. Artificial Intelligence
• AI is the study of how to make computers do things which, at the
moment, people do better
• AI is a branch of computer science concerned with teaching
computers to think
• The capability of a device to perform functions that are normally
associated with human intelligence, such as reasoning and
optimization through experience
• AI is the branch of computer science concerned with the study and
creation of computer systems that exhibits some form of
intelligence-
– Learn new concepts and tasks
– Can reason and draw useful conclusion
– Can understand a natural language
5. History
• The evolution of A.I. Has come slowly over
time with the progression of technology.
• A.I. Was only a philosophy before a
conference at Dartmouth College
• John McCarthy, Marvin Minsky, Allen Newell
and Herbert Simon became the lead
researchers
6. History
• MAVEN was created in 1987 to play Scrabble.
No person has been able to win.
• 1992. Dr. Marion Tindley beat Chinook (A.I.
Computer) in Checker’s 4-2 with 33 draws.
• 1997 Deep Blue plays the world’s best Chess
player and wins.
7. Artificial Intelligence Systems
• There are four categories:
• Systems that think like humans
• Systems which act as humans
• Systems that think rationally
• Systems that act rationally (ideally)
8. How Does AI Works??
Artificial intelligence works with the
help of
1> Artificial Neurons (Artificial
Neural Network)
And
2> Scientific theorems(If-Then
Statements, Logics)
9. Artificial intelligence & Our society
Why we need AI??
To supplement natural intelligence for e.g. we are building
intelligence in an object so that it can do what we want it to do, as for
example-- robots, thus reducing human labour and reducing human
mistakes .
10. •MyPerspective
For Humans Intelligence is no more than
TAKING a right decision at right time
And
For Machines Artificial Intelligence is no
more than CHOOSING a right decision at
right time
I think Artificial intelligence is the Second
intelligence ever to exist
12. Artificial Difference Vs
Human Intelligence
AI
• AI, when given the information can
be exact, every time with speed.
• AI are digital
• AI uses byte-addressable memory.
• There is a appealing
hardware/software distinction
obscures in AI
• Processing and memory are performed
by the different components.
• AI could do this if it was program to
do so, but this would be counter-
productive.
HI
• When HI is given the same
information, it can not be as exact,
and is slower.
• HI are analogue
• The HI uses content-addressable
memory
• No hardware/software distinction
can be made with respect to the
brain or mind
• Processing and memory are
performed by the same components
in the brain
• Human intelligence can forget and
lose information
18. Disadvantages:-
It will take long time to build
Small amount of information
Can’t provide a human feel
No emotional understanding
19. Most relevant inventions
• In 1964 Raphael Bertrand builds SIR.
• In 1973 Alain Colmenauer creates PROLOG.
• In 1997 Deep Blue beat Kasparov
• In 2009 therapeutic intelligence is being
developed.
22. Conclusion:-
• A.I. is something that has been achieved only to a
very limited degree and it remain a very difficult
problem and a long term goal of computer science.
• Since we are having some limitation or
disadvantages of A.I. but still there is a bright future
of Artificial Intelligence.
Thank you