The document discusses matrices and linear algebra concepts such as:
- A matrix is a set of elements organized into rows and columns. Basic matrix operations include addition, subtraction, and multiplication.
- Vectors can be represented as matrices and operations like the dot product and cross product are used to describe relationships between vectors.
- Important matrix properties include inverses, determinants, and homogeneous matrices which allow translations and perspective transforms.
- An orthonormal basis is a set of orthogonal vectors that form a coordinate system where the magnitude of each basis vector is 1.
Learning Kinematics from direct Self-Observation using Nearest-Neighbour Methodscijat
Commonly, the kinematic function of robotic manipulators is derived from the robot model analytically and can be represented in closed form. However, there are cases in which a model is not apriori available. We propose an approach that enables an autonomous robot to estimate the kinematic and inverse kinematic function on-the-fly directly from self-observations. As observations, we sample pairs of randomly chosen joint configurations and the resulting world positions. For approximating the kinematic and inverse kinematic function, we use instance-based learning techniques, such as Nearest Neighbour (NN) and Locally Weighted Regression (LWR). The sampled pairs not only contain information about the kinematics, but also implicitly encode the connectivity and reachability both in the configuration and world space. The robot can take advantage of this information to build roadmaps with a combined cost function. We present an analysis of our approach as well as the results obtained from experiments on a real robot and from simulation. We show in our talk, that with our approach, it becomes possible to accurately control robots with unknown kinematic models of various complexity and joint types from little data obtained through self-observation.
Learning Kinematics from direct Self-Observation using Nearest-Neighbour Methodscijat
Commonly, the kinematic function of robotic manipulators is derived from the robot model analytically and can be represented in closed form. However, there are cases in which a model is not apriori available. We propose an approach that enables an autonomous robot to estimate the kinematic and inverse kinematic function on-the-fly directly from self-observations. As observations, we sample pairs of randomly chosen joint configurations and the resulting world positions. For approximating the kinematic and inverse kinematic function, we use instance-based learning techniques, such as Nearest Neighbour (NN) and Locally Weighted Regression (LWR). The sampled pairs not only contain information about the kinematics, but also implicitly encode the connectivity and reachability both in the configuration and world space. The robot can take advantage of this information to build roadmaps with a combined cost function. We present an analysis of our approach as well as the results obtained from experiments on a real robot and from simulation. We show in our talk, that with our approach, it becomes possible to accurately control robots with unknown kinematic models of various complexity and joint types from little data obtained through self-observation.
This is the final presentation that my team gave at the culmination of our undergraduate research project. It involved building a protein folding simulation program using VBA in Microsoft Excel. It uses a genetic algorithm, essentially "evolving" the best fit, as determined by the fitness function, from a randomly generated seed population.
Identify the transformations to the graph of a quadratic function
Change a quadratic function from general form to vertex form
Identify the axis and vertex of a parabola
Although eigenvalues are one of the most important concepts in linear algebra, some of us eigen-struggle with them without understanding their usefulness and beauty. In this talk I'll briefly review the definition of eigenvalues emphasizing the associated geometric idea and I'll show how can they be used in some applications.
From the Un-Distinguished Lecture Series (http://ws.cs.ubc.ca/~udls/). The talk was given Mar. 16, 2007
These are the slides from the review session. THE FILE IS BIG AND MAY HAVE BEEN CORRUPTED. IF YOU CAN'T SEE IT THROUGH THE FLASH INTERFACE, JUST CLICK THE "DOWNLOAD" LINK and view it on your own computer.
This presentation is a witty journey to boredom. In an excellent way.
Holding attention is important in storytelling.
Storytelling is important in a presentation.
presentation is important in any project.
No matter how boring the topic is.
Introduction to apache horn (incubating)Edward Yoon
Apache Horn is neuron-centric programming model and execution framework, inspired by Google's DistBelief, supports both data and model parallelism for training large models with massive datasets.
This is the final presentation that my team gave at the culmination of our undergraduate research project. It involved building a protein folding simulation program using VBA in Microsoft Excel. It uses a genetic algorithm, essentially "evolving" the best fit, as determined by the fitness function, from a randomly generated seed population.
Identify the transformations to the graph of a quadratic function
Change a quadratic function from general form to vertex form
Identify the axis and vertex of a parabola
Although eigenvalues are one of the most important concepts in linear algebra, some of us eigen-struggle with them without understanding their usefulness and beauty. In this talk I'll briefly review the definition of eigenvalues emphasizing the associated geometric idea and I'll show how can they be used in some applications.
From the Un-Distinguished Lecture Series (http://ws.cs.ubc.ca/~udls/). The talk was given Mar. 16, 2007
These are the slides from the review session. THE FILE IS BIG AND MAY HAVE BEEN CORRUPTED. IF YOU CAN'T SEE IT THROUGH THE FLASH INTERFACE, JUST CLICK THE "DOWNLOAD" LINK and view it on your own computer.
This presentation is a witty journey to boredom. In an excellent way.
Holding attention is important in storytelling.
Storytelling is important in a presentation.
presentation is important in any project.
No matter how boring the topic is.
Introduction to apache horn (incubating)Edward Yoon
Apache Horn is neuron-centric programming model and execution framework, inspired by Google's DistBelief, supports both data and model parallelism for training large models with massive datasets.
Heart (Highly Extensible & Accumlative RDF Table) is an opensource project that intends to design and implement a system that stores and processes large-scale RDF data. Heart is based on Hadoop and HBase, opensource projects of Apache.
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.
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!
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
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
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
2. What is the Matrix?
• A matrix is a set of elements, organized
into rows and columns
rows
a b
c d
columns
3. Matrix Operations
f a e b f
a b e
c d g c g d h Just add elements
h
f a e b f
a b e
c d g c g d h Just subtract elements
h
f ae bg af bh
a b e Multiply each row
ce dg
c d g cf dh by each column
h
4. Vector Operations
• Vector: 1 x N matrix
a
• Interpretation: a line
in N dimensional
v b
space
• Dot Product, Cross
c
Product, and
Magnitude defined
y
on vectors only
v
x
5. Vector Interpretation
• Think of a vector as a line in 2D or 3D
• Think of a matrix as a transformation on
a line or set of lines
x a b x'
y c d y '
6. Dot Product
• Interpretation: the dot product measures
to what degree two vectors are aligned
A
A+B = C
(use the head-to-tail
B method to combine vectors)
C
B
A
7. Dot Product
d
a b abT a b c e ad be cf Think of the dot product
as a matrix multiplication
f
The magnitude is the dot
a aaT aa bb cc
2
product of a vector with itself
The dot product is also related to
a b a b cos( )
the angle between the two
vectors – but it doesn’t tell us the
angle
8. Cross Product
• The cross product of vectors A and B is a vector C
which is perpendicular to A and B
• The magnitude of C is proportional to the cosine of
the angle between A and B
• The direction of C follows the right hand rule – this
why we call it a “right-handed coordinate system”
a b a b sin( )
9. Inverse of a Matrix
• Identity matrix:
AI = A
• Some matrices have
1 0 0
an inverse, such that:
0 1 0
AA-1 = I
I
• Inversion is tricky:
(ABC)-1 = C-1B-1A-1
0 0 1
Derived from non-
commutativity
property
10. Inverse of a Matrix
1. Append the identity
matrix to A
2. Subtract multiples of the
a b c 1 0 0
other rows from the first
d e
f 0 1 0 row to reduce the
diagonal element to 1
g h i 0 0 1
3. Transform the identity
matrix as you go
4. When the original matrix
is the identity, the
identity has become the
inverse!
11. Determinant of a Matrix
• Used for inversion a b
A
• If det(A) = 0, then A c d
has no inverse
• Can be found using det( A) ad bc
factorials, pivots, and
cofactors! 1 d b
1
A
• Lots of ad bc c a
interpretations – for
more info, take 18.06
12. Determinant of a Matrix
ab c
f aei bfg cdh afh bdi ceg
de
gh i
ab ca b ca b c
Sum from left to right
de fd e fd e f Subtract from right to left
Note: N! terms
gh ig h ig h i
13. Homogeneous Matrices
• Problem: how to include translations in
transformations (and do perspective
transforms)
• Solution: add an extra dimension
1 x
1
y
x z 1
y
1 z
1 1
14. Ortho-normal Basis
• Basis: a space is totally defined by a set
of vectors – any point is a linear
combination of the basis
• Ortho-Normal: orthogonal + normal
• Orthogonal: dot product is zero
• Normal: magnitude is one
• Example: X, Y, Z (but don’t have to be!)
15. Ortho-normal Basis
x 1 0 0 x y 0
T
y 0 1 0 xz 0
T
z 0 0 1 yz 0
T
X, Y, Z is an orthonormal basis. We can describe any
3D point as a linear combination of these vectors.
How do we express any point as a combination of a
new basis U, V, N, given X, Y, Z?
16. Ortho-normal Basis
n1 a u b u c u
a 0 0 u1 v1
0 b 0 u n2 a v b v c v
v2
2
0 0 c u3 n3 a n b n c n
v3
(not an actual formula – just a way of thinking about it)
To change a point from one coordinate system to
another, compute the dot product of each
coordinate row with each of the basis vectors.