The document discusses combinations and permutations. It provides examples of how to calculate the number of possible combinations and permutations of objects in a set or group, including cards in a deck. Formulas are given for combinations and permutations, and examples are worked through step-by-step to demonstrate calculating combinations and permutations in different scenarios.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
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.
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
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/
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
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Intermediate Algebra: 10.2
1. Comb ina#rorls
RrcoP,
I f. Uartl' f! fiake-. a mit *pe- v;tA {sry
enJ trl ousi<-l;6rooyMs l{ so4gs, h.uJ Oarty
d;tQer,n, mixlales q4 I /ek"-?
I
lt) Ir"* ; P T put { s"r?' o^ c slutf l-J P/"yl'sP!
lJo'.t i+ /ousrtY /Da**er &lhat' order t1.- So49,s
.*',h'
fikAl JlfC"rvlt-
So ho3./ ployl'sts qn f ek-?
ffil
A camLiAqfion r! G *.,lcx+bn ot ohjoots goorn
c
'.
gfioup o0 A obit*s s'1are-ocd+r tS tlol inpocfartl,
n!
f = b-,)!'r!
A-r
I
ql
= (q-5)l
61
A e
^,C
2. oA yt q S*udeaYs ane/ vo14 *o bo on rk, pnn Coctf*
Sc.- & $oup oC I st*t/ettft, hout lrlertT d;rco"ro
(
_-_
Pr--' cturts am.foSSi6to?
{a'cd h"ac/7 qnt b,e- droqrt
Hou,t tDcny diFero-trl'
Ccnr 6 Jotx oCtJ '-tdg?
. Hout fiarlc/ cn./s af e-..l.,^
-st-!!
otY"
" l"A?
. llod naA/ au.Js oF eneA @ a.r<-tA " der,k?
'/n ivrutmay t ar/ knds o(- o.ll car/s yla scne'
su;+7
LI.L t3 ! 4t t?!
O
(rcA! {! '
--r.-:-- =-;-- o
sj g! f!
. . / =Q-t)!'L! -=-
t4 1 3" {
-z f---------l
(f o
';- L1
/oss;[|"- Sui]s
13 c*'ds i4
a 3ivea sai*
(
u,Jt7
a
3. t
h ku nonT { c-,o.d honlt G(Y' qll ca./s r4'- Seme
c.ol-rl
(-
Flulriob 6r-*tJA+ B o"
B
'tF pu darrl *' knou llu- Aurnbcr oC t^,rcys g/-
A,
c-1^ acl''ur. You
A22-d t MpJv
. t C you daa* ]o kn',^t *L. a.,rmlar o0 uv/t A t B
oout(, Y"u netd fo
C-.o'A
( sa't1iorJ, {iuniors, L( f.pAoncN-s,
S*u/oltt- Senclp. hat
cAd 3 Pr.llnmezt. Plout otatty <.onniftea's oF ? Joniors
I iuniors (AA 6- cJ'-seti
@
,h --f+ #,--) "ry
r .<-
y_-:,
a t r --.t- a .( ?-t
f v'-t c- -- tst:)!f J
Sa<Ja( ^
Ll sfu/ert/s ca1
czr$n;4+?za oE @!
'Ho u ) ficn./
L' Ohoje'rl!
'oq7
(
t s Cr ',C'r'"C'*''C 'l
J
5. Pasc^elsTria,ylo (a+b)n
!=o I (a +6;u= 1
b + b ' t ' =6 ,+ - b
/
,a
t n. I rl
- -1 l (a+b))=a1 +)ab+La
l"{
I 3, 16rbi = Ge 3ELr3a'9 E
| +
I /
/
/
/ /', t
=q +Ta'L e a'e+%F
rl
t1 ., 6.'' q. ' t (a
t / 'bf
,/ /
{
'/
f (a+L)r=a'
1f to lo'
Pqs-f's Tria4gL c^n Le- ulci+*"aas comL|nch's1s
e u Cu
/
,C o , C,
r/'r' av I
,.
2-o
,/ r/
I
d-" nC, .,j ' ^'-l/-
{u./ka+,i 1*o 7A enfry irt tt. tott, fo<-/ I
Pascc.l'sTria19lo7
r '
f,
6. Tho 13non ;a1 Thenre,rrt
i
(-
( o * bf , nC'.e".bo *
nC;4" 6'
* nCroa-r6a
+...
+ n C n ' d.tn
Lr/ha{ is 14'- coe,t?roi"ot+ o0 rlp cl tt b.,l
fn A4t- eXpattsiort o6' (q+b)'u ?
.r7 /Z _ , - lo - 3 / 3
LD L o
I
,o C=
-_r2"l
i
U) r i +e. +lv- uYpan| ort oC (:x *
^ff
brb)r o , =3 x L=)y c.--P€,2,ie4g
*6$ q=1,
r no Ll
Ac{b,Q}rt'
o rc,J b)' +loG'jbrf + to Gr)'hyf, SG,)' y)+|(s,l"(Y
11:")t ay)"
b
t 3a
?q7 x" y fG r x q) b) + lo(a z x 7 )(4 Y "+ / o Gf)@;) r'{GxlQe;t1 Yr
)
(_
-^qr*t +2Lloxy't +32y{
* 6toxuYL loroxly" rhox'yt
6
8. 1 . A committeeis to consistof two members. therearefour men andfive *o-.n
If /, ': 3 /.
^
to serveon the committee,how manydifferentcommittees be formed?Y -
can (
ryailable
Cf1atr
* .f
ro F) 72 tcl 40 tDls4
-.,/ .7 n
-
Howmany
different
3-card
hands bedrawn
can froma standard of52 playing
deck c
^atZ /<a7
-'/u,
3 . A lunch menuconsistsof 5 different kinds of sandwiches, different kinds of soup,and 5
2 |
different drinks. How manychoicesaretherefor orderinga sandwich,a bowl ofsoup,
S D
anda drink?
$(r)rr;
4. Twelve peopleareenteredin a race.If theni areno ties, in how manywayscanthe first ,
^f
tx"1
threeplaces
comeoutT---'- _
1288
rAr q9 tctz64o lDl 36
5 . Find the numberof distinguishable
permutatPi4the leftersIOWA. 4l r3 =r
lAt 12 [B] 16 Vy [D] 36
6. Find the numberof distinguishable
permutations the lettersHONEST.
of
Y
al
=-J "t-o
7. You own 8 travel books andaretaking 2 of themon vacation.ln how manywayscanyou
choose travelbooks
2 fromthe8? ,(t '1q
t"d- - r0
8 . How manydifferentwayscanyou arrange scoops a cone?
four on 4'l,a't
A4
= a1
9 . A collegehasnine instructorsqualifiedto teacha specialcomputerlab coursewhich
1 0 . Find the numberof distinguishable
permutations the lettersLUCKY.
of €l -- t tO
11 A four-person
committee chosen random
is at from a groupof l5 p"opt.. uo* /lf]
differentcommittees possible?
are -*y
t 4b ( lT /
12. From a group of six boys andfour girls, a boy anda girl will be selected atlenda
to
conference. how manypossible
ln wayscanthe selection made? f 6 /+]
- ' / d
be _ 4
Ir,)(,/
tj cs',--,