Imagine this exercise: you take a homing pigeon out of its roost, put it in a cage, cover the cage with a blanket, put the cage in a box and then place the box into a closed truck cab.
Goal-based agent is capable of thinking beyond the present
moment to decide the best actions to take in order to achieve its
goal. It has a model based basic purpose and has knowledge of
the past. Its main purpose is searching and planning. It has
flexibility to adjust its actions based on successfully reaching a
goal.
Summer of Tech
Have you ever wondered how you can hack your brain to accelerate your learning?
This talk will explain how the brain works and two techniques that you can use to accelerate and focus your learning.
7TH DAY OF 40 HOURS NLP WORKSHOP for the TRAINING OF TRAINERS Neuro-Linguistic Programming is a model about human behavior. It is not a theory because a theory must be proved. On the other hand a model merely has to be tested and if the model yields consistent results; it qualifies as a working model.
Every model is based on pre-suppositions which are assumed to be true. The presuppositions
for any given model are fine tuned till such time that the model yields
consistent results.
1. Everyone lives in and operates from his/her own unique model of the world.
2. People always make the best choices available to them, given their unique model of the world and the situation.
3. There is a desirable solution/possible outcome to every problem.
4. Each person is equipped with everything he/she needs to solve his/her
problems.
5. It is important to separate and distinguish a person from his/her behavior.
When someone is learning something new, it is useful to evaluate the
behaviors while holding constant a positive evaluation of self.
6. All behaviors that people exhibit are motivated by a positive intention or purpose.
In doing big things or setting and achieving big goals for yourself; you need to distinguish the desired outcome that made all your efforts worthwhile.
Half day session on Machine learning and its applications. It introduces Artificial Intelligence, move on Machine Learning, applications, algorithms, types, using Cloud for ML, Deep Learning and some resources to start with
Deep Learning in Robotics
- There are two major branches in applying deep learning techniques in robotics.
- One is to combine DL with Q learning algorithms. For example, awesome work on playing Atari games done by deep mind is a representative study. While this approach can effectively handle several problems that can hardly be solved via traditional methods, these methods are not appropriate for real manipulators as it often requires an enormous number of training data.
- The other branch of work uses a concept of guided policy search. It combines trajectory optimization methods with supervised learning algorithm like CNNs to come up with a robust 'policy' function that can actually be used in real robots, e.g., Baxter of PR2.
Artificial Intelligence lecture notes. AI summarized notes for introduction to machine learning, symbol based and constructionist learning, also deep learning organized here for reading and may be for self-learning, I think.
The term Machine Learning was coined by Arthur Samuel in 1959, an american pioneer in the field of computer gaming and artificial intelligence and stated that “ it gives computers the ability to learn without being explicitly programmed” And in 1997, Tom Mitchell gave a “ well-Posed” mathematical and relational definition that “ A Computer Program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E”.
Machine learning is needed for tasks that are too complex for humans to code directly. So instead, we provide a large amount of data to a machine learning algorithm and let the algorithm work it out by exploring that data and searching for a model that will achieve what the programmers have set it out to achieve.
Laws of humor - public speaking skills - manumelwinjoy
Max Eastman wrote a book titled “The Enjoyment of Laughter”, which goes into detail analyzing the psychology behind humor. He presents four laws of humor, all related to the concept of being "in fun".
Theories of humor - public speaking skills - Manu Melwin Joymanumelwinjoy
What exactly is it about a situation that makes it laughable? We all know that some things do make us laugh; but it is very hard to say just what it is that these laughable things have in common.
Definition of humor - public speaking skills - Manu Melwin Joymanumelwinjoy
Humor is defined as "the mental faculty of discovering, expressing or appreciating the ludicrous or absurdly incongruous".
Ludicrous is an adjective meaning amusing or laughable through obvious absurdity, incongruity, exaggeration or eccentricity. What is incongruous? It is something lacking congruity, inconsistent within itself.
Goal-based agent is capable of thinking beyond the present
moment to decide the best actions to take in order to achieve its
goal. It has a model based basic purpose and has knowledge of
the past. Its main purpose is searching and planning. It has
flexibility to adjust its actions based on successfully reaching a
goal.
Summer of Tech
Have you ever wondered how you can hack your brain to accelerate your learning?
This talk will explain how the brain works and two techniques that you can use to accelerate and focus your learning.
7TH DAY OF 40 HOURS NLP WORKSHOP for the TRAINING OF TRAINERS Neuro-Linguistic Programming is a model about human behavior. It is not a theory because a theory must be proved. On the other hand a model merely has to be tested and if the model yields consistent results; it qualifies as a working model.
Every model is based on pre-suppositions which are assumed to be true. The presuppositions
for any given model are fine tuned till such time that the model yields
consistent results.
1. Everyone lives in and operates from his/her own unique model of the world.
2. People always make the best choices available to them, given their unique model of the world and the situation.
3. There is a desirable solution/possible outcome to every problem.
4. Each person is equipped with everything he/she needs to solve his/her
problems.
5. It is important to separate and distinguish a person from his/her behavior.
When someone is learning something new, it is useful to evaluate the
behaviors while holding constant a positive evaluation of self.
6. All behaviors that people exhibit are motivated by a positive intention or purpose.
In doing big things or setting and achieving big goals for yourself; you need to distinguish the desired outcome that made all your efforts worthwhile.
Half day session on Machine learning and its applications. It introduces Artificial Intelligence, move on Machine Learning, applications, algorithms, types, using Cloud for ML, Deep Learning and some resources to start with
Deep Learning in Robotics
- There are two major branches in applying deep learning techniques in robotics.
- One is to combine DL with Q learning algorithms. For example, awesome work on playing Atari games done by deep mind is a representative study. While this approach can effectively handle several problems that can hardly be solved via traditional methods, these methods are not appropriate for real manipulators as it often requires an enormous number of training data.
- The other branch of work uses a concept of guided policy search. It combines trajectory optimization methods with supervised learning algorithm like CNNs to come up with a robust 'policy' function that can actually be used in real robots, e.g., Baxter of PR2.
Artificial Intelligence lecture notes. AI summarized notes for introduction to machine learning, symbol based and constructionist learning, also deep learning organized here for reading and may be for self-learning, I think.
The term Machine Learning was coined by Arthur Samuel in 1959, an american pioneer in the field of computer gaming and artificial intelligence and stated that “ it gives computers the ability to learn without being explicitly programmed” And in 1997, Tom Mitchell gave a “ well-Posed” mathematical and relational definition that “ A Computer Program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E”.
Machine learning is needed for tasks that are too complex for humans to code directly. So instead, we provide a large amount of data to a machine learning algorithm and let the algorithm work it out by exploring that data and searching for a model that will achieve what the programmers have set it out to achieve.
Laws of humor - public speaking skills - manumelwinjoy
Max Eastman wrote a book titled “The Enjoyment of Laughter”, which goes into detail analyzing the psychology behind humor. He presents four laws of humor, all related to the concept of being "in fun".
Theories of humor - public speaking skills - Manu Melwin Joymanumelwinjoy
What exactly is it about a situation that makes it laughable? We all know that some things do make us laugh; but it is very hard to say just what it is that these laughable things have in common.
Definition of humor - public speaking skills - Manu Melwin Joymanumelwinjoy
Humor is defined as "the mental faculty of discovering, expressing or appreciating the ludicrous or absurdly incongruous".
Ludicrous is an adjective meaning amusing or laughable through obvious absurdity, incongruity, exaggeration or eccentricity. What is incongruous? It is something lacking congruity, inconsistent within itself.
Where do you see yourself in five years - interview questions - Manu Melwin Joymanumelwinjoy
Where do you see yourself in five years? This interview question is not designed to test your psychic powers. No interviewer expects candidates to be able to describe EXACTLY what they will be doing in 1,820 days. In fact, a truthful answer about what you HOPE to be doing can easily sabotage your odds of landing a job offer.
12 benefits of using humor - - Manu Melwin Joymanumelwinjoy
Makes you more likeable – this one is a no brainer. We all like people who make us laugh and believe me, you really do want the audience with you not against you.
Introduction to humor in public speaking - Manu Melwin Joymanumelwinjoy
Some consider humor to be the Holy Grail of public speaking. The old adage, ‘Always start with a joke’, endures like no other. Behind this is the idea that a well-timed gag will win over any audience and open them up to your message. But the role of comedy in public speaking is far more complex and subtle than this phrase would have you believe.
Seven things about your sense of humor -Manu Melwin Joymanumelwinjoy
Some consider humor to be the Holy Grail of public speaking. The old adage, ‘Always start with a joke’, endures like no other. Behind this is the idea that a well-timed gag will win over any audience and open them up to your message. But the role of comedy in public speaking is far more complex and subtle than this phrase would have you believe.
What is your greatest weakness - Interview Questions - Manu Melwin Joymanumelwinjoy
One of the most common and aggravating interview questions of them all: What is your greatest weakness?
Most candidates hate this question and consider it pointless. After all, they aren’t about to confess candidly to their biggest flaws in the middle of a job interview.
What would you consider your greatest strengths - interviews questions - Man...manumelwinjoy
This is a commonly-asked question in job interviews for all levels of positions in all industries. Even when this question is not asked, you must be able to answer it in order to land the job.
Leadership - Management Concepts - Manu Melwin Joy - Training Tools - Concept...manumelwinjoy
Leadership can be hard to define and it means different things to different people. In the transformational leadership model, leaders set direction and help themselves and others to do the right thing to move forward. To do this they create an inspiring vision, and then motivate and inspire others to reach that vision.
Interpesonal skills - Management Concepts - Manu Melwin Joy - Training Tools ...manumelwinjoy
Total interpersonal space devoted to mutual understanding and shared information.
Productivity and interpersonal effectiveness are directly related to the amount of mutually-held information
Adolescent problems and class room managment Management Concepts - Manu Melw...manumelwinjoy
Total interpersonal space devoted to mutual understanding and shared information.
Productivity and interpersonal effectiveness are directly related to the amount of mutually-held information
Success through interpersonal skills - Management Concepts - Manu Melwin Joy ...manumelwinjoy
Total interpersonal space devoted to mutual understanding and shared information.
Productivity and interpersonal effectiveness are directly related to the amount of mutually-held information
Decision making - Management Concepts - Manu Melwin Joy - Training Tools - Co...manumelwinjoy
What is a decision?
Decision is the choice made among two or more alternatives.
Decision making occurs as a reaction to a problem.
Problem is a gap between the present state and expected state of affairs.
The importance of clarity is easy to understand. Imagine arriving on the outskirts of a large city and being told to drive to a particular home or office in that city. But here’s the catch.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
2. Prepared By
Manu Melwin Joy
Assistant Professor
Ilahia School of Management Studies
Kerala, India.
Phone – 9744551114
Mail – manu_melwinjoy@yahoo.com
4. Cybernetic Goal Seeking Function
• Imagine this exercise: you
take a homing pigeon out
of its roost, put it in a cage,
cover the cage with a
blanket, put the cage in a
box and then place the box
into a closed truck cab.
5. Cybernetic Goal Seeking Function
• You can then drive a
thousand miles in any
direction. If you then open
the truck cab, take out the
box, take off the blanket
and let the homing pigeon
out of the cage, the
homing pigeon will fly up
into the air, circle three
times and then fly
unerringly back to its home
roost a thousand miles
away.
6. Cybernetic Goal Seeking Function
• You have the same goal
achieving ability as the
homing pigeon, but with
one marvelous addition.
When you are absolutely
clear about your goal,
you do not even have to
know where it is or how
it is to be achieved.
7. Cybernetic Goal Seeking Function
• By simply deciding
exactly what it is you
want, you will begin to
move unerringly toward
your goal, and your goal
will start to move
unerringly toward you. At
exactly the right time,
and in exactly the right
place, you and the goal
will meet.
8. Cybernetic Goal Seeking Function
• Because of this incredible
cybernetic mechanism
located deep within your
mind, you always achieve
your goals, whatever they
are. You move toward
them and they move
toward you.
9. Cybernetic Goal Seeking Function
• If your goal is to get
home at night and watch
television, you will almost
certainly achieve it. If
your goal is to create a
wonderful life full of
health, happiness and
prosperity, you will
achieve that as well.
10. Cybernetic Goal Seeking Function
• Like a computer, your goal
seeking mechanism is non-
judgmental. It works
automatically and
continuously to bring you
what you want, regardless
of what you program into
it.
11. Cybernetic Goal Seeking Function
• Nature doesn’t care about
the size or scope of your
goals. If you set little goals,
your automatic goal
achieving mechanism will
enable you to achieve little
goals.
12. Cybernetic Goal Seeking Function
• If you set large goals, this
natural capability will
enable you to achieve large
goals. The size, scope and
detail of the goals you
choose to think about most
of the time is completely
up to you.
14. THANK YOU
Manu Melwin Joy
Assistant Professor
Ilahia School of Management Studies
Kerala, India.
Phone – 9744551114
Mail – manu_melwinjoy@yahoo.com