B. F. Skinner
(1904-1990)
Skinner’s life and his understanding of life Predetermined, lawful, and orderly
A product of past reinforcements
1925: Hamilton College (NY): degree in English, no courses in psychology
Read about Pavlov’s and Watson’s experimental work
1931: Ph.D. from Harvard
B. F. Skinner
Dissertation: a reflex is a correlation between
S and R
1938: The Behavior of Organisms
1953: Science and Human Behavior
1990: Vigorously attacked the growth of cognitive
psychology
1990 (final article): "Can Psychology Be a Science
of Mind?"
B. F. Skinner
(1904-1990)
Skinner’s life and his understanding of life Predetermined, lawful, and orderly
A product of past reinforcements
1925: Hamilton College (NY): degree in English, no courses in psychology
Read about Pavlov’s and Watson’s experimental work
1931: Ph.D. from Harvard
B. F. Skinner
Dissertation: a reflex is a correlation between
S and R
1938: The Behavior of Organisms
1953: Science and Human Behavior
1990: Vigorously attacked the growth of cognitive
psychology
1990 (final article): "Can Psychology Be a Science
of Mind?"
What Is AI: Foundations, History and State of the Art of AI.
Intelligent Agents: Agents and Environments, Nature of Environments, Structure of Agents.
Problem Solving by searching: Problem-Solving Agents, Example Problems,Searching for Solutions, Uninformed Search Strategies, Informed (Heuristic) Search Strategies, Heuristic Functions.
Learning from Examples: Forms of Learning, Supervised Learning, Learning Decision Trees, Evaluating and Choosing the Best Hypothesis, Theory of Learning, Regression and Classification with Linear Models, Artificial Neural Networks, Nonparametric Models, Support Vector Machines, Ensemble Learning, Practical Machine Learning
Learning probabilistic models: Statistical Learning, Learning with Complete Data, Learning with Hidden Variables: The EM Algorithm. Reinforcement learning: Passive Reinforcement Learning, Active Reinforcement Learning, Generalization in Reinforcement Learning, Policy Search, Applications of Reinforcement Learning.
History of AI, Current Trends, Prospective TrajectoriesGiovanni Sileno
Talk given at the 2nd Winter Academy on Artificial Intelligence and International Law of the Asser Institute. The birth of AI: Dartmouth workshop. The biggest AI waves: classic symbolic AI (reasoning, knowledge systems, problem-solving), machine learning (induction). Current problems: explainability, trustworthyness, impact and transformation on society and people, the rise of artificially dumber systems.
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
Why Neurons have thousands of synapses? A model of sequence memory in the brainNumenta
Presentation given by Yuwei Cui, Numenta Research Engineer at Beijing Normal University. December 2015.
Collaborators: Jeff Hawkins, Subutai Ahmad, Chetan Surpur
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
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.
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.
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
ACT-R_Nina Wei
1. ACT-R
Adaptive Control of Thought – Rational
An Integrated Theory of the Mind
By Nina
Department of Psychology, Zhejiang Sci-Tech University
Contact me : weizhuxiaona@gmail.com
4. Cognitive Psychology
Brain Imaging
What ?
Cognitive Computing
fMRI
Lisp
John Anderson
Models
Declarative
Procedural
Symbolic
Java Python
Memory
Attention
Complex Tasks
Executive Control
Education
Neuroscience
Language
Decision
HCI
5. ACT-R is a cognitive architecture: a theory for simulating and understanding
human cognition. Researchers working on ACT-R strive to understand how people
organize knowledge and produce intelligent behavior.
As the research continues, ACT-R evolves ever closer into a system which can
perform the full range of human cognitive tasks: capturing in great detail the way we
perceive, think about, and act on the world.
10. Human Associative Memory
--the original declarative memory system
--described by Anderson & Bower in 1973
The 1st version of the ACT theory
--introducing a computational dichotomy
+ the procedural memory
The ACT* model of human cognition
12. Rational Analysis, a mathematical approach to cognition, whose basic assumption of Rational
Analysis is that cognition is optimally adaptive, and precise estimates of cognitive functions
mirror statistical properties of the environment.
13. Rational Analysis
(as a unifying framework)
the ACT theory
ACT-R
+
The importance of the new approach
in the shaping of the architecture
ACT-R 4.0
--optional perceptual and motor capabilities
--mostly inspired from the EPIC
15. ACT-R 4.0
--optional perceptual and motor capabilities
--mostly inspired from the EPIC
ACT-R 5.0
--introducing the concept of modules
--specialized sets of procedural and declarative representations that
could be mapped to known brain systems
--Specialized structures for holding temporarily active information
ACT-R 6.0
--a new version of the code, presented in 2005
--including significant improvements in the ACT-R coding language
19. What ?
Basic Theory
• time to perform the task,
• accuracy in the task, and,
• (more recently) neurological data such as those
obtained from FMRI.
• collect quantitative measures that can be directly
compared with the quantitative measures obtained
from human participants.
20.
21. Where ?
Models
learning and memory
problem solving &
decision making
language & communication
cognitive development individual differences
perception & attention
23. Some of the most successful applications, the Cognitive Tutors for Mathematics, are used in
thousands of schools across the country.
Such "Cognitive Tutors" are being used as a platform for research on learning and cognitive
modeling as part of the Pittsburgh Science of Learning Center.
32. How ?
Buffers
• ACT-R accesses its modules (except for the
procedural-memory module) through buffers.
• For each module, a dedicated buffer serves as
the interface with that module.
• The contents of the buffers at a given moment
in time represents the state of ACT-R at that
moment.
33. How ?
Pattern matcher
• The pattern matcher searches for a production
that matches the current state of the buffers.
• Only one such production can be executed at a
given moment.
• That production, when executed, can modify the
buffers and thus change the state of the system.
• Thus, in ACT-R cognition unfolds as a succession
of production firings.
36. The subsymbolic structure is represented by a set of massively parallel
processes that can be summarized by a number of mathematical equations.
37. The subsymbolic equations control many of the symbolic processes,whether
(or how fast) a fact can be retrieved from declarative memory depends on
subsymbolic retrieval equations, which take into account the context and the
history of usage of that fact.
38. They are also responsible for most learning processes in ACT-R.