The document reports on a study that investigated sequence learning under incidental conditions using a serial reaction time task. 64 participants were trained on one of two sequences without being told about the sequences. Those who learned the sequence that followed the rule of the opposite location to two trials back (Group 1) showed better learning during training and testing than those who learned the other sequence (Group 2). Modeling with an augmented SRN also found better learning for Group 1. This provides further evidence that sequence learning can occur incidentally through different processes than intentional learning.
An alignment-based approach to semi-supervised relation extraction including ...Seokhwan Kim
The document presents an alignment-based approach to semi-supervised relation extraction that handles more than two arguments. The proposed method aims to improve both precision and coverage of relation extraction. It uses an alignment-based pattern matching approach and extracts all relationships with two or more arguments simultaneously to obtain high quality integrated results. Experimental results demonstrate the effectiveness of the method.
This document provides information about a CLIL project being conducted at IES ROCAGROSSA high school in Lloret de Mar, Spain from 2007-2010. The project involves teaching physics and chemistry concepts to 4th year ESO (age 15-16) students in English. It is being conducted by an English and science teacher. The goals are to implement CLIL methodology within the science subjects and involve other non-language teachers. Key principles of CLIL like the 4Cs framework and 3As planning tool are described. An example module outline integrating both content and language is also provided.
This document outlines the course content and grading components for a Math 1 course. The course covers topics like sets, real number systems, algebraic expressions, linear equations, inequalities, polynomials, rational expressions, and radicals. Students' grades are based on class standing (70%), recitation (5%), homework (15%), quizzes (20%), long tests (30%), and a periodic exam (30%). There are three long tests and a final exam each quarter to evaluate students' understanding of the course material.
The study investigated how different types of artificial language training (implicit, rule-search, explicit) affected the development of second language knowledge, both overall and of different types (implicit, explicit).
Participants received one of the three training conditions and were then tested on their grammatical knowledge of the language. They also rated the basis of each judgment as guess, intuition, memory, or rule-based.
Results showed that both rule-search and explicit training led to higher overall accuracy than implicit training. While implicit training did not seem to develop implicit knowledge as expected, rule-search training resulted in more varied knowledge development than implicit training. The findings suggest that different training conditions can differentially influence the type of L2 knowledge
This study investigated the role of procedural memory in adult second language acquisition. The researchers hypothesized that participants with stronger procedural memory would show higher proficiency, particularly under implicit training conditions. In a mixed factorial design, participants were trained in an artificial language under implicit or explicit conditions and assessed at two time points. Results provided evidence that procedural memory is an individual difference, with the greatest performance differences in the implicit training condition at the later assessment. This supports theories of procedural memory involvement in language learning and an aptitude-treatment interaction, suggesting cognitive strengths should be matched to learning contexts.
The document is a presentation about writing compilers using Python and LLVM. It provides an overview of compilers, including definitions of key terms like source code, intermediate representations, passes, optimizations, and code generation. It also describes the frontend and backend of compilers, and how LLVM can be used to build compiler backends with its libraries. Specifically, it discusses the Python bindings for LLVM called llvm-py that allow building compiler backends using Python.
This document discusses cognitive science research in virtual worlds. It summarizes different cognitive architecture approaches like symbolic, emergent, and hybrid architectures. It also discusses memory structures and applications of cognitive architectures like Soar and OpenCog Prime. Finally, it considers how cognitive science experiments could be conducted in virtual worlds and how results could potentially transfer learning to embodied artificial agents.
Quoc Le, Software Engineer, Google at MLconf SFMLconf
Title: Deep Learning for Language Understanding
Abstract:
Many current language understanding algorithms rely on expert knowledge to engineer models and features. In this talk, I will discuss how to use Deep Learning to understand texts without much prior knowledge. In particular, our algorithms will learn the vector representations of words. These vector representations can be used to solve word analogy or translate unknown words between languages. Our algorithms also learn vector representations of sentences and documents. These vector representations preserve the semantics of sentences and documents and therefore can be used for machine translation, text classification, information retrieval and sentiment analysis.
An alignment-based approach to semi-supervised relation extraction including ...Seokhwan Kim
The document presents an alignment-based approach to semi-supervised relation extraction that handles more than two arguments. The proposed method aims to improve both precision and coverage of relation extraction. It uses an alignment-based pattern matching approach and extracts all relationships with two or more arguments simultaneously to obtain high quality integrated results. Experimental results demonstrate the effectiveness of the method.
This document provides information about a CLIL project being conducted at IES ROCAGROSSA high school in Lloret de Mar, Spain from 2007-2010. The project involves teaching physics and chemistry concepts to 4th year ESO (age 15-16) students in English. It is being conducted by an English and science teacher. The goals are to implement CLIL methodology within the science subjects and involve other non-language teachers. Key principles of CLIL like the 4Cs framework and 3As planning tool are described. An example module outline integrating both content and language is also provided.
This document outlines the course content and grading components for a Math 1 course. The course covers topics like sets, real number systems, algebraic expressions, linear equations, inequalities, polynomials, rational expressions, and radicals. Students' grades are based on class standing (70%), recitation (5%), homework (15%), quizzes (20%), long tests (30%), and a periodic exam (30%). There are three long tests and a final exam each quarter to evaluate students' understanding of the course material.
The study investigated how different types of artificial language training (implicit, rule-search, explicit) affected the development of second language knowledge, both overall and of different types (implicit, explicit).
Participants received one of the three training conditions and were then tested on their grammatical knowledge of the language. They also rated the basis of each judgment as guess, intuition, memory, or rule-based.
Results showed that both rule-search and explicit training led to higher overall accuracy than implicit training. While implicit training did not seem to develop implicit knowledge as expected, rule-search training resulted in more varied knowledge development than implicit training. The findings suggest that different training conditions can differentially influence the type of L2 knowledge
This study investigated the role of procedural memory in adult second language acquisition. The researchers hypothesized that participants with stronger procedural memory would show higher proficiency, particularly under implicit training conditions. In a mixed factorial design, participants were trained in an artificial language under implicit or explicit conditions and assessed at two time points. Results provided evidence that procedural memory is an individual difference, with the greatest performance differences in the implicit training condition at the later assessment. This supports theories of procedural memory involvement in language learning and an aptitude-treatment interaction, suggesting cognitive strengths should be matched to learning contexts.
The document is a presentation about writing compilers using Python and LLVM. It provides an overview of compilers, including definitions of key terms like source code, intermediate representations, passes, optimizations, and code generation. It also describes the frontend and backend of compilers, and how LLVM can be used to build compiler backends with its libraries. Specifically, it discusses the Python bindings for LLVM called llvm-py that allow building compiler backends using Python.
This document discusses cognitive science research in virtual worlds. It summarizes different cognitive architecture approaches like symbolic, emergent, and hybrid architectures. It also discusses memory structures and applications of cognitive architectures like Soar and OpenCog Prime. Finally, it considers how cognitive science experiments could be conducted in virtual worlds and how results could potentially transfer learning to embodied artificial agents.
Quoc Le, Software Engineer, Google at MLconf SFMLconf
Title: Deep Learning for Language Understanding
Abstract:
Many current language understanding algorithms rely on expert knowledge to engineer models and features. In this talk, I will discuss how to use Deep Learning to understand texts without much prior knowledge. In particular, our algorithms will learn the vector representations of words. These vector representations can be used to solve word analogy or translate unknown words between languages. Our algorithms also learn vector representations of sentences and documents. These vector representations preserve the semantics of sentences and documents and therefore can be used for machine translation, text classification, information retrieval and sentiment analysis.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
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.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
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.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
The document provides career advice for getting into the tech field, including:
- Doing projects and internships in college to build a portfolio.
- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
1. Core updates from Google periodically change how its algorithms assess and rank websites and pages. This can impact rankings through shifts in user intent, site quality issues being caught up to, world events influencing queries, and overhauls to search like the E-A-T framework.
2. There are many possible user intents beyond just transactional, navigational and informational. Identifying intent shifts is important during core updates. Sites may need to optimize for new intents through different content types and sections.
3. Responding effectively to core updates requires analyzing "before and after" data to understand changes, identifying new intents or page types, and ensuring content matches appropriate intents across video, images, knowledge graphs and more.
A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
It's part of a Data Science Corner Campaign where I will be discussing the fundamentals of DataScience, AIML, Statistics etc.
Time Management & Productivity - Best PracticesVit Horky
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Sequence learning under incidental conditions [poster]
1. Psychology
F.
Yeates,
F.
W.
Jones,
A.
J.
Wills,
R.
P.
McLaren
&
I.
P.
L.
McLaren
Contact
Fayme
Yeates:
fy212@exeter.ac.uk
Introduc8on
In
general,
Group
1
show
faster
sequence
learning
than
Group
2
Sequence
learning
studies
employing
serial
reac8on
Propor8on
of
Error
Difference
Scores
for
Experimental
and
Control
Par8cipants
for
Different
Sequences
over
Training
8me
(SRT)
tasks
provide
evidence
for
a
disPncPon
Blocks
under
Incidental
Condi8ons
between
explicit
knowledge
and
implicit
Group
1
0.15
Group
2
0.15
performance.
This
disPncPon
is
not
uncontested,
Condi8on
Experimental
F(1,26)
=
31.99
however,
and
there
are
those
that
argue
against
it
Control
Inconsistent
Errors
-‐
Consistent
Errors
Inconsistent
Errors
-‐
Consistent
Errors
p
<
.001
(e.g.
Mitchell,
De
Houwer
&
Lovibond,
2009).
0.1
Condi8on
*
Block
0.1
F(16,416)
=
3.87
Jones
and
McLaren
(2009)
suggested
that
evidence
p
<
.001
for
dissociable
learning
processes
would
be
found
if
0.05
0.05
learning
of
the
same
sequences
was
shown
to
be
qualitaPvely
different
under
incidental
and
intenPonal
condiPons,
whilst
controlling
for
the
0
0
2
4
6
8
10
12
14
16
18
20
22
24
26
28
30
32
34
2
4
6
8
10
12
14
16
18
20
22
24
26
28
30
32
34
sequenPal
effects
that
may
have
contaminated
Condi8on
earlier
SRT
research.
Block
F(1,29)
=
2.03
-‐0.05
-‐0.05
Block
p
>
.1
Jones
&
McLaren
(2009)
trained
parPcipants
on
Experimental
Condi8on
*
Block
sequences
constructed
from
triplets
following
an
F(16,464)
=
.72
-‐0.1
-‐0.1
Control
p
>
.7
exclusive-‐or
rule.
Different
triplet
subsequences
were
learnt
to
different
extents,
and
the
paern
of
Over
training
blocks,
experimental
subjects
in
Group
1
improved
their
RTs
and
error
rates
compared
to
controls
learning
was
different
again
for
parPcipants
that
on
trials
predicted
by
their
Group
rule
–
that
the
current
sPmulus
appears
in
the
opposite
locaPon
to
the
one
were
instructed
to
look
for
sequences
and
apply
a
two
trials
back
-‐
compared
to
those
that
were
inconsistent
with
this
rule.
strategy
(intenPonal)
compared
to
those
who
were
instructed
to
simply
respond
as
quickly
and
At
test
Group
1
show
be/er
learning
than
Group
2
accurately
as
possible
(incidental).
These
effects
Reac8on
Times
and
Propor8on
of
Error
Difference
Scores
for
Experimental
and
Control
Par8cipants
for
Group
1
and
2
over
were
explained
by
hypothesis-‐tes8ng
and
Training
Blocks
under
Incidental
Condi8ons
Reac8on
Times
0.1
Errors
associa8ve
learning
accounts,
respecPvely.
The
last
50
was
based
on
modelling
using
the
Augmented
SRN.
*
*
40
0.08
Our
aim
was
to
further
invesPgate
the
nature
of
*
Inconsistent
errors
-‐
Consistent
errors
30
0.06
sequence
learning
in
SRT
tasks
under
Jones
and
Inconsistent
RTs
-‐
Consistent
RTs
McLaren’s
(2009)
incidental
condiPons.
20
0.04
10
*
0.02
*
Method
64
parPcipants
took
part
in
a
two-‐choice
SRT
task
0
0
over
two
sessions.
ParPcipants
were
either
Group
1
Group
2
Group
1
Group
2
-‐10
-‐0.02
instructed
to
respond
as
quickly
and
accurately
as
possible
to
the
sPmuli
(a
circle
filling
on
the
led
or
-‐20
-‐0.04
right
of
the
screen).
Responses
were
spaPally
compaPble
key
presses.
-‐30
Experimental
-‐0.06
Experimental
-‐40
Control
-‐0.08
Control
Training
Sequences
Experimental
parPcipants
perform
beer
than
controls
at
test.
Consistent
with
the
training
data,
both
reacPon
Group
1
Group
2
Control
Pme
and
error
data
show
a
greater
difference
between
experimental
and
control
when
learning
Group
1
RRL
RRR
RRL
RRR
sequences.
Over
acquisiPon
and
at
test,
Group
1
demonstrates
more
learning
than
Group
2.
*
p
<
0.01
RLL
RLR
RLL
RLR
LLR
LLL
LLR
LLL
Modelling
Incidental
Learning
LRR
LRL
LRR
LRL
Mean
Squared
Error
Difference
Scores
for
Experimental
and
Control
Simula8ons
for
Jones
&
McLaren
(2009)
Group
1
and
2
in
Test
for
two
versions
of
the
Augmented
SRN
found
that
incidental
Training:
Experimental
parPcipants
were
trained
on
0.1
AugSRN
0.15
AugSRN
(-‐
Fast
Learn
Rate)
performance
on
their
one
of
two
sequences,
where
the
first
sPmulus
task
was
successfully
Inconsistent
MSE
-‐
Consistent
MSE
0.08
locaPon
in
a
triplet
would
predict
the
third.
modelled
by
the
Inconsistent
MSE
-‐
Consistent
MSE
0.1
Therefore,
the
sPmulus
locaPon
of
any
trial
could
be
0.06
augmented
simple
in
the
opposite
locaPon
(Group
1)
or
the
same
recurrent
network
0.04
locaPon
(Group
2)
as
the
sPmulus
locaPon
two
trials
0.05
(AugSRN;
Cleeremans
&
back.
Experimental
subjects
could
predict
the
0.02
McClelland,
1991)
–
locaPon
of
the
current
trial
on
two
thirds
of
training
giving
further
weight
to
0
0
trials.
Control
groups
were
trained
on
an
associaPve
account
of
Group
1
Group
2
Group
1
Group
2
pseudorandom
sequences
made
up
of
an
equal
-‐0.02
Experimental
Experimental
performance
in
this
number
of
all
of
the
possible
triplets.
Thus,
they
-‐0.04
Control
-‐0.05
Control
condiPon.
could
not
predict
the
locaPon
of
the
current
trial
on
Difference
Difference
the
basis
of
the
locaPon
of
the
trial
two
An
augmented
SRN
with
the
same
parameters
as
Jones
&
McLaren
(2009)
does
not
perform
in
the
same
way
as
presentaPons
previously.
Both
groups
received
the
humans,
showing
more
learning
in
Group
2.
When
the
fast
weights
of
the
augmented
SRN
were
disabled,
this
same
amounts
of
sPmuli
in
each
trial
posiPon,
and
paern
reversed
and
beer
simulated
human
learning.
extraneous
sequenPal
effects
were
controlled
for.
Conclusions
Test:
All
subjects
received
five
test
blocks
of
We’ve
found
that
aTer
taking
performance
effects
into
account,
people
are
be/er
at
learning
pseudorandom
sequences
as
described
for
controls
some
types
of
sequences
over
other
sequences.
This
is
not
easily
modelled
by
the
Augmented
above
ader
the
training
phase.
SRN.
Cleeremans,
A.,
&
McClelland,
J.
L.
(1991).
Learning
the
structure
of
event
Jones,
F.
W.,
&
McLaren,
I.
P.
L.
(2009).
Human
sequence
learning
under
incidental
Mitchell,
C.
J.,
De
Houwer,
J.,
&
Lovibond,
P.
F.
(2009).
The
proposiPonal
nature
of
sequences.
Journal
of
Experimental
Psychology:
General,
120,
235-‐253.
and
intenPonal
condiPons.
Journal
of
Experimental
Psychology:
Animal
Behavior
human
associaPve
learning.
Behavioral
and
Brain
Sciences,
32,
183-‐246.
Elman,
J.
L.
(1990).
Finding
structure
in
Pme.
CogniCve
Science,
14,
179-‐211.
Processes,
35(4),
538-‐553.