Roles That Are Followed By Project Management Methodology

These 9 Companies Could Help Us Send the Next Robotic Landers to the Moon

We sent the first humans to land on the Moon in 1969. Since then, only of 12 men have stepped foot on the lunar surface – but we left robotic explorers behind to continue gathering science data. And now, we’re preparing to return. Establishing a sustained presence on and near the Moon will help us learn to live off of our home planet and prepare for travel to Mars.

To help establish ourselves on and near the Moon, we are working with a few select American companies. We will buy space on commercial robotic landers, along with other customers, to deliver our payloads to the lunar surface. We’re even developing lunar instruments and tools that will fly on missions as early as 2019!

Through partnerships with American companies, we are leading a flexible and sustainable approach to deep space missions. These early commercial delivery missions will also help inform new space systems we build to send humans to the Moon in the next decade. Involving American companies and stimulating the space market with these new opportunities to send science instruments and new technologies to deep space will be similar to how we use companies like Northrop Grumman and SpaceX to send cargo to the International Space Station now. These selected companies will provide a rocket and cargo space on their robotic landers for us (and others!) to send science and technology to our nearest neighbor.

So who are these companies that will get to ferry science instruments and new technologies to the Moon?

Here’s a digital “catalogue” of the organizations and their spacecraft that will be available for lunar services over the next decade:

Astrobotic Technology, Inc.

Pittsburg, PA

Deep Space Systems

Littleton, CO

Firefly Aerospace, Inc.

Cedar Park, TX

Intuitive Machines, LLC

Houston, TX

Lockheed Martin Space

Littleton, CO

Masten Space Systems, Inc.

Mojave, CA

Moon Express, Inc.

Cape Canaveral, FL

Orbit Beyond, Inc.

Edison, NJ

Draper, Inc.

Cambridge, MA

We are thrilled to be working with these companies to enable us to investigate the Moon in new ways. In order to expand humanity’s presence beyond Earth, we need to return to the Moon before we go to Mars.

The Moon helps us to learn how to live and work on another planetary body while being only three days away from home – instead of several months. The Moon also holds enormous potential for testing new technologies, like prospecting for water ice and turning it into drinking water, oxygen and rocket fuel. Plus, there’s so much science to be done!

The Moon can help us understand the early history of the solar system, how planets migrated to their current formation and much more. Understanding how the Earth-Moon system formed is difficult because those ancient rocks no longer exist here on Earth. They have been recycled by plate tectonics, but the Moon still has rocks that date back to the time of its formation! It’s like traveling to a cosmic time machine!

Join us on this exciting journey as we expand humanity’s presence beyond Earth.

Learn more about the Moon and all the surprises it may hold: https://moon.nasa.gov

Find out more about today’s announcement HERE.

Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com

Blockchain: The Driving Force of Multiple Industries

Blockchain and bitcoin are interlinked, and blockchain has a multitude of other functions and uses. Sustainability is the ability to drive business process efficiently and transparently across industries which translates to better use of resources that creates value. In this context, blockchain and distributed ledger technologies (DLT) are one of the most powerful drivers for sustainability.

Blockchain can track the goods and services across the landscape in an automated fashion which allows data to be exchanged seamlessly. Traditional inconsistencies can be avoided with blockchain technologies. The whole process from fundamental issues to money laundering becomes 100 percent transparent and trackable. 

Read More: https://goo.gl/9hihYB

The pharmaceutical industry benefits from blockchain as it can be used to track and record the movement of drugs and medication. When drugs are used illicitly, every packet of the drug can be monitored and traced at all times.

Blockchain: Complementing Threat Intelligence: https://goo.gl/DjpaUQ

Eliminating Healthcare Challenges with Blockchain: https://goo.gl/HMnqt2

Marketing Automation helps in Optimising E-commerce

Marketing automation involves the use of software platforms and technologies designed to use marketing channels more efficiently and automate the tasks that are repetitive. This method helps reduce the efforts put in by the marketers and enhance digital marketing greatly.

Marketing automation is a useful step to target a large audience in a much lesser time, through portals like emails, social media networks, SMS, and search engine optimization.

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Trends that are going to change the HR industry

Suitable candidates are considered as the assets for organizations. The hardships lead to be more strategic for the HR (human resource) team of organizations because HRs’ role is to recruit not only an employee but also understand if the employee can serve as an asset for the very organization and recruit accordingly.

Nowadays technologies have made HR industry evolving to become more efficient, profitable, and enjoyable for employees. This industry is converting into more productive one with the help of advanced technologies. 

Following are some of the trends, which are transforming the industry:

Artificial intelligence (AI): Talent acquisition is one of the important responsibilities of HR departments, but even they cannot be entirely sure about the hiring. AI technology streamlines this hiring process by relying more on the analytical process instead of by human observations. Also, AI helps in listing relevant interview questions according to the post, employee’s background.

Robotics Quotient: The HR department has many transactional activities that are ideally suited for robotic process automation (RPA). RPA enables HRs to automate tasks that are rule-based, repetitive, and standardized and results in free-minded HRs who can focus on more strategic and innovative functions as talent development, retention, and policy implementation.

Predictive analysis: HRs deal with large quantities of people data. With the help of predictive analytics, HRs need not rely on gut feeling or soft science; they can rely on proven and data-driven predictive models. Predictive analysis enables HRs to forecast the impact of people policies on the well-being and bottom-line performance of the employees.  

Cloud: Cloud applications play a significant role in the HR industry. Functions of organizations need fast and flexible IT frameworks. Cloud is redefining the frameworks and process of working of the organizations. The competitions in organizations on recruiting processes increase data of a number of candidates and push the organizations to move the information to the cloud. Moving data to the cloud makes HRs’ functions more efficient as it lowers the manual works of HRs.

By the advancement of technology, HRs are playing a leadership role in the growth of organizations. As HRs are adopting the change with the help of technologies, the organizations will become smarter and more productive.

Know More: HR Technology

Know these to get started with Python.

Web Development has advanced over a period of time

Taking a Mobile First Strategy to Web-development

Changing trends in web design via web development

Java's Ongoing Popularity

The Era of Modern Web Development

Python as a first language: a roadmap to getting started.

I personally prefer Java as a first language. Put non-technically, it is a lot less convenient, so you get a more realistic idea of how computers work. Nonetheless, Python is an amazing language (with convenience as one of it’s values) so it makes sense as a gentle introduction. It’s also a popular language for data science and machine learning, so it’s great to have experience with.

The 3 ingredients you need to get started:

The Python Language Interpreter: when you write some code in a text file and save it as a .py file, the Python interpreter is what turns that code into commands that your computer can then actually preform. This is necessary.

An Integrated Development Environment (IDE): An IDE is like a helpful text editor for programming. Some basic features include auto-complete, typo and mistake catching, and automatic text coloring to make some parts of your code easier to find. This is optional but highly recommended.

Some learning resources: We’re going to need something about programming basics, problem solving in computer science, using an API, learning how to use google and stackexchange, data types, control structures, and then maybe an object-oriented programming intro, and eventually all the neat advanced features of the python language. Then we need to learn how to use Numpy (for scientific computing), Pandas (for easy data storage), and Tensorflow (machine learning!). Add some handy cheat-sheets for python, numpy, pandas, and Tensorflow, and we’re good to go.

Other posts will adress download, installation, and resources.

A curriculum:

Like I said up above, we need to know how to do the following. Save this and make it a checklist.

Learn to use google to answer questions about installing or using python, any packages, or computer science.

This also includes getting to know how to search Stackexchange, the website for coding questions n’ stuff.

How to install python 3 and get set up

How to install an IDE like Eclipse (with PyDev), IDLE, or Notebook++.

Programming basics: how does python work? What does the language look like? How does tabbing work?

Understand basic logic, including AND, OR, XOR, NOR, NAND, XNOR, Implies, and If…Else statements.

Variables: what are they, how do I set one and change it?

Basic math in Python.

Data types: what kinds of variables can I have? How does my computer store data? How do I use those types of data? What are the key commands and operations I know how to do?

Control structures: if, else, elif, for loops, while loops, break, continue

Methods! What are they, how do I make one, what can I do with it?

The open() command, the all() command, other neat built-in methods

<function name>= lambda <your variables>: <single line method>

Problem solving in computer science: now do fizbuzz.

What’s a package?

Importing packages, installing packages you don’t have with PIP

Using an API: how do I find one and how do I read it?

object-oriented programming in Python: what’s a class, how do I make one, how do I reference and instantiate one, methods, class vars, etc

Error handling: how to do exceptions

All the neat advanced features of the python language: iterators, generators, list comprehensions, enumerate, range, assert, with…as, etc.

Read through the Numpy API (for scientific computing), data types, matrices, stats, methods, etc. A short detour through scikit would be helpful.

Read through Matplotlib.pyplot API, plotting, plotting options, histograms, scatterplots, etc.

Pandas (for easy data storage), data frames, series, built-in operations on columns and rows, loading from a CSV, saving as a csv, apply, etc

Tensorflow (machine learning!) For basic stuff, shoot for knowing how to use the estimator package, which is discussed elsewhere on this blog. Also get to know the nitty gritty, including tensors, layers, tensorboard, etc.

The emergence of drone technology has equipped emergency management organizations with robust capabilities that will enable them to cater more closely to the society. It has helped them to enhance their crisis management strategies and facilitate the optimization of resources. Although drones have received mixed reviews, especially in terms of privacy, their benefits during emergencies are unquestionable.

Drones can access environments that are difficult for relief workers, thus assisting in recovery efforts. Its benefits range from limited to escalated disasters, including floods, earthquakes, nuclear accidents, forest fires, and so on. Drones can be used for early detection, especially in the case of chemical accidents, where it is difficult for humans to carry out relief actions.

Nuclear and chemical accidents often lead to the release of toxic substances into the atmosphere. Chemical, biological, radiological, nuclear, and explosive events lead to unsafe conditions for human beings. Evens In such circumstances, drones can assist in undertaking swift and effective countermeasures.

During earthquakes, drones can be deployed to monitor the extent of damage and prioritize the areas. They can be equipped with robust sensors to measure radiation, thus enabling the agencies to minimize fallout exposure for the relief workers. The drones can be used to assess the structural damage, especially buildings on the verge of collapsing. They are also useful in hard to reach areas such as tunnels and bridges.

E-Commerce Trends That Can Level up Your Business Tactics

Every industry witnesses the change in trend and which is kind of necessary to keep the business relevant. Therefore, to establish a plan for the future, one must look back at what they have done with their business. 

What’s trending today may certainly befall the upcoming year; eCommerce business is large and is continuously evolving. Therefore, keep reading to learn about.

Full Read:  E-commerce for Business

Threats in IoT/M2M and How to face it?

The new found capability of the Internet of things enables enterprises to create value in many new ways. This world of internet connected things, where humans interact with machines and machines talking to other machinery devices (M2M) are here to stay. In reality, M2M is viewed as a subdivision of Internet of things (IoT).

IOT/M2M

It is an encompassing phenomenon that includes Machine-to-human communication (M2H), Radio frequency identification (RFI), Location-based services (LBS), Lab-on-a-chip sensor (LCS), augmented reality, robotics, and vehicular telematics. The adoption rate of IoT is increasing five times faster than the adoption of electricity and mobile devices.

IoT sector finally stepped into PKI (public key infrastructure) which is a mechanism for naming and distributing public encryption keys. PKI plays a crucial role in increasing IoT security. This enables the secured exchange of data across the internet. 

Using PKI, sending or receiving of data can be easily validated. PKI deployments have jumped to 23 percent since 2015, and about 49 percent of IoT firms are partially encrypting data. The rate of hiring percentage of IoT specialists has also increased.

For the protection of IoT users, Jerry Brown, the governor of California has signed first IoT security legislation into law which will be active by 2020. This legislation includes vital points like stopping unauthorized access, preventing unwanted modifications, and providing a unique password for every IoT devices. IoT devices not only share the information across the networks but also aid in financial transactions.

Complete Insights Here: How to Face Threats in IoT/M2M

How to melt gold at room temperature

When the tension rises, unexpected things can happen – not least when it comes to gold atoms. Researchers from, among others, Chalmers University of Technology, Sweden, have now managed, for the first time, to make the surface of a gold object melt at room temperature.

Ludvig de Knoop, from Chalmers’ Department of Physics, placed a small piece of gold in an electron microscope. Observing it at the highest level of magnification and increasing the electric field step-by-step to extremely high levels, he was interested to see how it influenced the gold atoms.

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