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Friday, 5 May 2023

AI free tutorials

 Here are 13 AI-powered apps that will supercharge your academic writing and reading — with free tutorials:


For Writing:

1. Jenni AI
A personal writing assistant that will make sure you never face the writer's block
https://lnkd.in/e7uS3nRQ


2. Paperpal
An editor to help you polish your academic writing. Also has an MS Word plugin so you can edit from within MS Word.
https://lnkd.in/eY5hjj-h


For Reading:

3. Schoarlcy
A persona reading assistant that creates summaries of research papers with unfamiliar terms hyperlinked to Wikipedia entries.
https://lnkd.in/epjnwYSX


4. ChatPDF
ChatGPT for research papers. Upload a paper and start asking it questions.
https://lnkd.in/eSpuX2YC


5. Casper
A Chrome extension that summarizes research papers within your browser. Also helps you brainstorm ideas.
https://lnkd.in/eiVBWsNE


6. SciSpace
One of the most powerful and versatile tools currently available for reading journal articles.
You can ask your reading Copilot to explain difficult passages.
https://lnkd.in/eygXPZ-Z


For taking notes:

7. Lateral
A unique app that helps you find common themes across multiple research papers — in minutes.
https://lnkd.in/e4R_-JtB


8. ClioVis
Not an AI-powered app but still much better than many available tools. I am using it for my current research project.
Helps you visualize connections between different ideas and concepts. Also lets you export your notes to an MS Word file.
https://lnkd.in/eeurkKKh


9. Glasp
Think of it as Twitter but for note-takers.
Take notes on research papers and share them with likeminded people across the world
https://lnkd.in/eNBusmvk


10. Audiopen
Converts your voice notes into coherent and cohesive prose.
https://lnkd.in/eZrfP2zj


Search engines:

11. Consensus
Unlike ChatGPT that gives you fake citations, Consensus answers your questions with references to actually published papers.
https://lnkd.in/e-Q9Uu24


12. Evidence Hunt
Answers your clinical questions with citations to published papers.
https://lnkd.in/eDsVVqEZ


13. Search Smart
A search engine to help you find the most suitable database for your research.
https://lnkd.in/eFQgrbYb

Found this post helpful?

Open science: Where to learn ?

 Summer Schools

TOPST summer schools will increase the adoption of open science practices by teaching introductory curriculum and increasing opportunities for collaboration. The selected institutions, their projects, and principal investigators (PIs) are:

  • National Louis University, Chicago, Illinois
    Ensuring Culturally Responsive Practices and Community Building in Open Science
    PI: Robyn Moncrief
     
  • Neuromatch Inc., Los Angeles, California
    An Open, Community Supported, Accessible Summer School for Climate Science   
    PI: Nicholas Halper 
     
  • University of Illinois, Urbana-Champaign
    Bringing Together Open Science and Research Software
    PI: Madicken Munk 

Virtual Cohorts

Virtual cohorts will offer remote learning and community building around open science principles and practices. The selected institutions, projects, and PIs are:

  • Code for Science and Society Inc., Portland, Oregon
    TOPS OpenCore by Embedding Community Values
    PI: Yo Yehudi

    Ciencia Abierta Accesible: Community-Based Teaching of the TOPS OpenCore Online in Spanish 
    PI: Laura Acion
     
  • Don’t Use This Code, New York
    Virtual Cohorts: Developing Lifelong Committed Interaction with Open Science
    PI: Cameron Riddell

ScienceCore

ScienceCore curriculum will complement existing training materials and provide information about open science tools and technology for NASA Earth and space science research. The selected institutions, projects, and PIs are:

  • University of Montana, Missoula
    Satellite observations and models informing agriculture: Training for open science under climate change
    PI: Arthur Endsley
     
  • North Carolina State University, Raleigh
    Building a framework for ScienceCore Carpentry from a Marine Sciences Lab
    PI: Lisa Lowe
     
  • NASA’s Goddard Space Flight Center, Greenbelt, Maryland
    ETHOS: ExoplaneTs in the epocH of Open Science
    PI: Richard Barry 
     
  • Million Concepts LLC, Louisville, Kentucky
    Knowing the Sky: Building Open Science Skills through Native Knowledge Practices
    PI: Sierra Brown 
     
  • University of California, Berkeley
    Examining Environmental Justice through Open Source, Cloud-Native Tools
    PI: Carl Boettiger 
     
  • Code for Science and Society Inc., Portland, Oregon
    Reproducibly Analyzing Wildfire, Drought, and Flood Risk with NASA Earthdata Cloud
    PI: James Munroe 
     
  • Washington University in St. Louis
    ExoCore: An open science curriculum for enhanced reproducibility and equity in exoplanet research
    PI: Tansu Daylan 
     
  • NASA’s Ames Research Center, Silicon Valley, California
    Training in Artificial Intelligence and Machine Learning for Space Biological Sciences Using NASA Cloud-Based Data
    PI: Lauren Sanders 
     
  • Columbia University, New York
    Science Core Heuristics for Open Science Outcomes in Learning (SCHOOL)
    PI: Kytt MacManus

     
  • Polyneme LLC, New York
    Heliophysics ScienceCore curriculum development with emphasis on knowledge representation techniques to increase usability of NASA cloud-based datasets
    PI: Donald Winston 

As part of the Year of Open Science, NASA is awarding $2.7 million across these different projects this year, with a total of $6.5 million over three years. Read more about the projects.

For information about open science at NASA, visit:

References
https://www.nasa.gov/centers/marshall/news/releases/2023/nasa-boosts-open-science-through-innovative-training

Tuesday, 18 April 2023

Where to lean AI online?

 Here's a list of 14 top resources to get up to speed (for free):


THE BASICS:


1. Elements of AI


An introduction to artificial intelligence for non-experts.


If you want a beginner's guide to understanding AI and how to use it


https://t.co/deuawtF2lX



2. AI For Everyone | Coursera


A comprehensive overview of AI and the key concepts shaping its impact.


If you want to be equipped with a broad overview and get a solid start in this field


https://t.co/degH7JHMPS


3. Learn AI & machine learning - with Google


Free courses & low-cost certifications for AI, Machine Learning, and Neural Networks.


If you want to jumpstart a career in AI


https://t.co/2JQWdlANPv


. What's the difference?

- AI

- Machine Learning

- Deep Learning

- Neural Networks


If you want clarity on the core concepts


https://lnkd.in/dt6zyvsf


THE TERMINOLOGY:


5. 28 AI Terms You Need to Know


A list of basic terms everyone should know.


If you want to feel comfortable on AI Twitter


https://t.co/kWk5yV6Ftl


6. Machine Learning Glossary | Google Developers


A comprehensive list of machine learning terms.


If you want to speak the language of AI


https://t.co/0J6rJnEM85


8. What Is ChatGPT Doing … and Why Does It Work?


An in-depth article on the inner workings of ChatGPT.


If you want to be a master, not just a user of AI


https://lnkd.in/dFqx3Vs9


9. AUTO-GPT: Autonomous GPT-4


A short video overview of Auto-GPT and how it works.


If you want to keep up with the latest mind-blowing version of GPT-4


https://lnkd.in/dvSWQbat


10. AUTO-GPT


An experimental open-source attempt to make GPT-4 fully autonomous.


If you want to push the boundaries of what is possible with AI


https://t.co/BuRxEnzOLn


HOW TO PROMPT:


11. Learn Prompting


A comprehensive resource on prompting, from beginners to advanced.


If you want to communicate effectively with AI


https://t.co/ETQbevOYwu


PROGRAMMING FOR AI:


12. Python Full Course for Beginners by Moshfegh Hamedan.


6 hours with everything you need to go from newbie to Python proficient.


If you want to master the most popular language for AI & ML


https://lnkd.in/dMwbKpua


13. CS50 Introduction to Artificial Intelligence with Python | Harvard


A 7-week self-paced course covering the concepts and algorithms of artificial intelligence.


If you want to know how to apply AI techniques to your work


https://lnkd.in/dJ_DmuSj


MACHINE LEARNING:


14. Stanford CS229 - Machine Learning


20 lectures on supervised, unsupervised & reinforcement learning, learning theory, and adaptive control.


If you want to be hirable in multiple industries


https://lnkd.in/djaXtCAQ


#python #machinelearning #ml #ai #google


Useful link:

https://www.linkedin.com/pulse/roadmap-becoming-data-analyst-2023-arif-alam-/

Saturday, 18 March 2023

What are Home (consumer) and Business (professional) series laptops ?

Consumer and business laptops are different. They look like same but the features and cost are different. The comparison below:

Price:

Consumer laptops are inexpensive and plentiful, but a business class laptops are costlier due to high features that generally aren't found in notebooks meant for consumers. 

Features:

Business laptops come with several features and especially with security features such as: finger sensor reader, 3G modem for cellular broadband. This feature keeps a business worker online no matter where she is on the road. 

Durability:

Business laptops are built with more metal to secure the laptop from crash during travel.

Hard drive:

Solid state hard drives don't have the moving components found in regular spinning drives as hard drive disk and that's why these laptops does not affected by accidental drops.

Style:

Many consumer laptops are available with bright colors, light up keyboards and eye catching designs while Business laptops comes with the fashion statements and keep a low profile. 

Service plan:

Business laptops also comes with extended service plan than the consumer laptop.

Pre-loaded Software:

  1. Consumer laptops are comes with several pre-loaded extraneous software. Business laptops offer systems that include desired software like the business editions of popular operating systems and office productivity packages without unwanted extras like game demos and trial offers. 

Difference between Windows 10/11 Home and Professional versions

 Windows is the common the operating system in all over world.  Windows is based on Graphical User Interface but with time, it is developed into the most advances operating system for the users i.e. windows 10 Home and Professional and I will compare this two feature.

The major difference is presented in below:

Disadvantages Of Windows 10 Home

Utilization of Resources

The main issue with the system is that it provides various features and runs many programs in the background. 

Application Data Sharing

Many users feel uncomfortable with their data being shared with Microsoft via Cortana.

Bugs

Bugs problem is frequent and can happen or occur any times. 

Extra Features in Windows 10 Professional

Bit-Locker

Bit locker allows you to encrypt all the data present on your system if someone else steals or accesses your system.

Windows Information Protection

It is a data protection program that allows users to encrypt their data and make their systems more secure.

Remote Desktop

Windows 10 Pro provides the feature of Remote Desktop usage, which allows you to access your system and files remotely from any other system. 

Domain Join

It allows the users to share network resources, including devices like printers.

Client Hyper V

It is an inbuilt virtual Machine that will allow you to run another operating system in your Windows 10 Pro like Ubuntu.

Group Policy

It enables certain levels of access for users based on their restrictions. 

Disadvantages of Windows 10 Professional

Settings Features

The Settings in the Pro version of Windows do not come with various accessible features, but users have to switch to the Control Panel for various settings.

Missing old features

Many features of previous versions of Windows are removed from this version i.e. Windows Media Player, Photo viewer.

Shutdown Time

The shutdown time of this version of Windows is comparatively high, and this turns out to be pretty annoying for the users.

Reference:
https://www.softwaretestinghelp.com/windows-10-home-vs-pro/

Adaptations and mitigation: Questions and answers part 7

 Q: Discuss why capacity building is important in implementing adaptation plans?

Ans: Scientific and technical capacity,advancing scientific knowledge and linking scientific and policy communities. with the proper use of resources, technology, financing and IPR. It is important to build enough capacity to ensure that the implementation will result in change that is sustainable and aligned with the principles and objectives set out in the design of the adaptation plan.

This can require the building of additional skill sets, increasing education and awareness about certain issues and developing trust and cooperation- these are often barriers which undermine the effectiveness of adaptation processes.

Capacity building is a key issue for the implementation of climate adaptation measures in urban planning processes.In addition, scientific insights and tools can be of assistance, and the use of climate maps can help to create a common language.

Such common understanding of climate problems can lead to “goal environment” between actors, which can support the implementation of climate adaptation strategies in urban planning.

Q: Suggest possible steps that can ease (or motivate) the adaptation planning and implementation at the local level

Ans: The steps that can ease (or motivate) the adaptation planning and implementation at the local level are as follows:

1: Preparing the ground for adaptation

1.a. Obtain high-level support

1.b. Set up the process.

1.c. Estimate human and financial resources needed and identify potential sources of funding for the long term.

1.d. Collect information

1.e. Communicate and raise awareness

2. Assessing risks and vulnerabilities to climate change

2.a. Analyse how past weather events have affected at local level

2.b. Undertake a climate change risks and vulnerability assessment.

2.c. Develop an approach for addressing knowledge gaps and for dealing with uncertainties 

3.Concluding step: 

3 a. Identifying adaptation options

3.b. Collect appropriate adaptation options given at local level 

3.c. Explore good practices and existing measures

3.d. Describe adaptation options in detail 

4. Assessing adaptation options

4.a. Assess possible options in terms of time, cost, benefits and efforts.

Q: How to enhance climate change resilience and sustainability in urban areas?

Ans: Enhancing climate change resilience and sustainability in urban areas:

- By adopting specific  policies  to  ensure  provision  for  good  quality  risk-reducing  infrastructure  and  service that must reach  to whole city’s  population, the  institutional  and  financial  abilty  to  provide and  manage  these  and  expand  them  when  needed.

- By additional knowledge,  resources,  capacity  and  skills, which  are generally  required to  build  resilience  against the climate change to changes  beyond  the  ranges  of  what  have  been  happened  in  the  past.

- By reliable,  locally  specific  and  downscaled  projections  of  climate  change, which gives the reliable climate change scenario and impacts.  

- By tools  for  risk  screening  and  management, which are  needed to  provide  a  basis  for  incorporating  adaptation  into  development  plans  and  policy  option.

- By improving Infrastructures  and  buildings construction,  which have  a  lifespan  of  many  decades  so  investments  made  now  need  to  consider what  changes  in  risks  could  take  place  during  their  lifetime

Q: The local climate change at this stage may not obvious yet. Should adaptation plans incorporate into urban planning immediately or wait until there is more certainty about local climate change? Why?

Ans: Yes, we should adaptation plans incorporate into urban planning immediately because climate change is long continuous process and it is the global problem, when referring to global climate change it is important to look at long-term climate trends, generally 30 years or more, rather than short-term patterns which reflect natural climate variability.

The production of GHG is increased and growing due to high consumption of fossil fuel, non-renewable energy, industrial agriculture and land use changes, Which cause sea level rise, melting ice, increasing in global mean temperature and changing in weather. The important point is that the coping with climate change is also require more time. 

Climate mitigation and adaptation should be implemented simultaneously to effectively reduce climate change impacts and prepare for a future of change. If greenhouse gas emissions are not reduced through mitigation efforts, then the ability to adapt will be impacted by the rapid pace and severity of climate change.

Since the effects of climate change are already happening it is also necessary to include adaptation as an important part of climate change planning. Adaptation is the process of adjustment to actual or expected climate and its effects by society or ecosystem.

Adaptation can consist of a wide variety of actions by an individual, community, or organization to prepare for, or respond to, climate change impacts. We cannot wait for a crisis to occur to begin adapting to climate change impacts.

Q: What are basic needs/essentials to conduct coordination?

Ans: The basic needs/essentials to conduct coordination are as follows:

1) Monitoring of  environmental status could be done in identifying and solving climate change problems.

2) Diagnosing and investigation of  climate change public health problems and health hazards is possible via coordination.

3) Coordination could serve as a major tool in informing, educating and empowering about public health issues related to climate change.

4) Coordination would help in developing policies & plans that support climate change risk reduction efforts.

5) Coordination links people to climate change risk reduction services and thus help in assuring services are provided on time.

6) Research new insights and innovative solutions could be founded which will help in to reducing climate change public health risks issues.

Q: What does community-based approach mean?

Ans: The community-based approach is to create a community that would be actively participate in environmental  friendly  behavior  in  sustainable  ways and describes climate-resilient livelihoods, disaster risk reduction (DRR), local adaptive and organisational capacity development, and enabling national policy environment, a good knowledge of climate change, and the addressing of underlying causes of vulnerability) that need to be in place for effective community-based adaptation to occur.

Approaches:

- Building  trust  through  intensive  communication  with  key  persons  in  the  community.  

- Public  consultation  regarding  local  problems  and  solutions.   

- Framing  the  problems  profile  and  community  perception.  

- Formulate  the  community  focus  of  interest.  

- Formulate  road  map  and  strategic  plan.  

- Develop  programs  and  indicators  performance.

Q: What are ’four sides’ in YSM?

Ans: The Yonmenkaigi System Method is developed to reduce disaster impact at the local community level. Participatory workshop methods can be used to develop more effective action plans at the level of community that include collaborative decision making techniques among residents for proactive disaster management. The main aim is to make an action plan for the community through a workshop. The method focuses on four aspects.These four aspects are categorized as:

a) Management

b) Publication relation and information

c) Soft logistic

d) Hard logistic

Each of these role sharing elements is combined with a time dimension.


Multidisciplinary Mega‑Journals: Has Their Time Passed?

     Over the past decade, multidisciplinary and so‑called “mega‑journals” became some of the most attractive destinations for researchers u...