8 Ways Artificial Intelligence Will Change the World

Artificial intelligence and its related innovations promise to make the world in which we live reality but seeing how relevant those are now, and you do not have to focus on the future. Probably, deep learning has always been the most extraordinary development in AI to date, but technology is trying to make the world nicer.

In this article, we have jotted down some great ways in which AI is transforming the world to become more advanced. So read and find out.

Helping Doctors To Determine People Suffering from Lung Cancer

The second most prevalent category of cancer in the US is lung cancer, and that one of the four most common causes of this disease within the UK. It is often one of the hardest to manage because, in the initial stages, there are indeed no apparent signs, meaning that life expectancies are less than several other types of cancer, however, after surgery.

Researchers from the Case Western Reservation University in Cleveland and researchers with six different institutions have introduced a new AI model that determines which patients with lung cancer also are benefitting from its new treatment known as immunotherapy in order to assist doctors in treating the disease more efficiently.

Though immunotherapy is indeed an advancement in the treatment of cancer, it also has one of the most costly features and is better at preventing lung cancer that has several characteristics. This learning algorithm predicts the efficacy of therapy so doctors could ensure that it would be used for the most appropriate patients and protect everyone else from inefficient and costly therapies.

In 2019, scientists from Chinese Henan University had merged two deep learning models to assess whether a patient has Alzheimer’s, which results in 97 percent sensitivity and 88 percent precision.

“The benefits of the model proposed are that if the neuroimaging diagnoses are combined with the clinical evaluation of the neuropsychology,” they said. “Diagnosis is closer to it and easier to follow the diagnosis method of the clinician.”

Locating Victims of Human Trafficking 

The second Alert is indeed an Horacio Canales AI-Tool designed to help locate people around the world who are missing, like people trafficking in human beings and children who are too young to recall the names of their families. The tool was created to provide consumers access to details about missing individuals from every other Web browser – like his age, name, and date of disappearing. The information is available from a single browser.

The second Alert collects data from official missing relevant documents worldwide and evaluates data provided to classify them. Users may also send a photo of the individual concerned as well as the app reviews their servers for matches and details for the picture.

Discovering Nazca lines Geoglyph 

In Japan, scientists throughout the Nazca Linux region of Peru worked closely with IBM to develop their machine learning algorithm. The IBM Japan and Yamagata University had manually found 142 geoglyphs within the former site over a decade and created a deep-learning algorithm for scanning ten years of data to detect more geoglyphs than now the scientists had skipped.

The achievement of the AI project led to a joint agreement between IBM and Yamagata University that could transform the way archeological project works are carried out all over the world.

Identifying Fraudulent Payments

One of the advantages of advancement in technology would be that it empowers offenders to organize more complex crimes. IBM continues to fight against security and crime during a progressively cashless world with another deep learning platform, IBM Safer Pays.

The profound learning model of IBM processes thousands of transactions per second with such a latent rate of fewer than five milliseconds and incredibly small false-positive results. It helps human analysts to identify trends and establish new defense procedures in fraud patterns. More than 600 million consumer accounts and five million trading accounts are currently being used throughout the world for security.

Helping in Tracking of White Sharks

One of its most common software suppliers of customer relationships tools is Salesforce. The company created its very own suite of machine learning software called Einstein to help companies more efficiently handle their sales activities.

However, this does not turn out to be the most they can do.

Researchers from the Einstein department of the organization have teamed up to create an AI model that can monitor white sharks with UC Santa Barbara’s Benioff Ocean Initiative.

The profound learning method analyzes “huge amounts” of video data from drones. Therefore the algorithm is able to draw insights in such a shorter period of time, mostly from more extensive collections of images, instead of spending one hour watching an hour video. It can now differentiate between various types of sharks, new sharks and have already recorded sharks and recognize non-shark items such as kelp & driftwood in forms close to that of a shark. They’re harmful/harmless for humans.

Help Understand Angina

In 2019, in-depth education helped MIT scientists discover that perhaps the signs of angina should be the same for women and men within the healthcare sector. The results are based on a long-accepted myth that both women and men have different circumstances and can lead to better care for all patients.

Giving Advice for Signing of Agreements of Software License

We sign license agreements for social networks, tech applications, and all sorts of sites regularly in today’s digital era. But how many of us read the terms and conditions of the endless list of digital services we are subscribing to, fully knowing very well?

Fortunately, DoNotPay – an AI robot lawyer company – has designed a new strategy that enables consumers to understand what license agreements they are signing up to.

Helping Botanists to Analyze Structure of Plants 

As the global climate crisis, as well as extreme weather events, increase, it becomes more and more transparent which our approaches to energy, food production as well as other meaningful life have to be re-examined. Unfortunately, in most of these areas – including how climate change will affect plants as well as rare species – there is still a lack of scientific insight to facilitate efficient adjustments.

Over time, scientists use AI to speed up analysis so that they get the information they will need to take informed measures.

An increasing majority of scientists use 3D laser scanning to evaluate the effect of environmental influences on plants to document the whole Structure as well as the adequate information of plants in such a manner that 2D pictures cannot correspond. This information will then be fed into databases, which could be processed much quicker than previously available by deep learning models.

This pace benefit may be critical in combating climate change.

So these are some of the great ways in which AI is helping to transform the world. There are other great advantages of using AI, and therefore it can be concluded that AI will be the future.

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5 Ways Technology is Changing Agriculture

Farming practices have progressed dramatically over time, from simple hand tools to the advanced equipment we use today. Farmers are increasingly embracing modernity, allowing them to maximize their ability in whatever farming activity they want. Farming methods have become more refined and far less manual, yields are rising, so it’s not unusual to see cattle, poultry, and dairy cows on the very same farm. So what is it that is triggering these shifts? The solution is straightforward. Technological advancements!

Agriculture, like any other industry in the world, has been impacted by technological advances. In today’s world, technology aids farmers & growers in a variety of ways, including accurate forecasting, data-driven decision making, and more. The reforms have also had a positive effect on most farmers’ bottom lines, resulting in increased access to food goods at fair prices. Let’s look at some of the particular aspects of that technology that has changed agriculture.

Online Resources

Farmers now have unparalleled access to a wealth of useful resources and technologies to make farming simpler, thanks to the widespread adoption of internet technology. Specifically, the internet provides a plethora of development and preparation resources to assist them in forecasting potential crops.

Furthermore, the World Wide Web offers many farming forums where they can seek advice, share ideas, and engage in thought-provoking discussions. These online communities have extensive support groups which can assist farmers without ever having to visit the farm.


The thought of tractors pulling themselves mostly on-farm was unthinkable only a few decades ago. The introduction of GPS technology, on the other hand, has changed everything. At any point near or on the earth’s surface, GPS provides precise location data. As a result, farming machines equipped with GPS receivers can recognize their location mostly on-farm and adjust their operations to maximize their productivity.

Tractors fitted with automated steering systems and GPS technology are now being used to boost seed placement on farms, reducing waste and costs. In addition, livestock tracking, crop spraying, and 3D mapping all are tasks that GPS-directed drones are progressive to be used for.

GPS has a wide range of features that go beyond tractor use. Farmers, for example, may use a GPS receiver to locate predetermined locations in a farm field for soil samples taken. The selected soil samples will then be analyzed in a geographic information system to produce a fertility chart. Farmers may precisely prescribe the amount of fertilizer needed for each sampled portion of its farm field that uses the map. Afterward, the farmer could use fertilizer applicators with technology having variable-rate to distribute the exact amount of fertilizer in the region.


Farmers are increasingly using sensors, such as GPS technology, to understand their crops at such a micro level, conserve resources, and reduce environmental impacts. The majority of precision agriculture sensing technologies provide vital data that allows farmers to adjust their strategies to evolving environmental factors.

GPS satellite signals are used by location sensors to determine latitude, longitude, and altitude. A farmer must have at least three satellites to efficiently triangulate a location. Plant soil and color reflectance data also are aggregated and processed using optical sensors in precision agriculture. They are being used to calculate the moisture content, clay content, and organic material of the soil more specifically.

Sensors could be used to monitor anything from soil temperature to grain silo humidity. They could also provide crucial soil health information. Furthermore, sensor technology enables farmers to make better use of their irrigation water, reduce prices, and reduce waste.

Mobile Devices

When technology advances, so do mobile technology, as demonstrated by the increasing number of applications available. This advancement has had a huge effect on every aspect of life, with agriculture benefiting as well.

Mobile apps have become the actual game-changers. They’ve made a positive difference in the lives of landowners and farmers. Farmers may use a variety of mobile apps to gather information about their field farms, watch the weather, and get timely updates.

Farmers are seamlessly moving from managing fields to building farm maps and encouraging its use of drones, thanks to the information provided by mobile apps. When it comes to everything from plan development to progress monitoring, the program that powers the apps puts them in control.

Smart Farming

Because all of the above innovations are combined, the outcome is a smart farming method, also known as precision agriculture. Smart farming entails incorporating modern communication and information technologies into agriculture, resulting in the Third Green Revolution. The agricultural sector is slowly being transformed by the combined use of ICT solutions, including the GPS, IoT, sensors, robotics, and actuators, Unmanned Aerial Vehicles, Big Data, precision equipment, and far more.

We will illustrate how various technologies are combined to provide smart farming utilizing irrigation as just an example. A farmer may install a sensor through an irrigator to determine the moisture level of the soil before watering the farm field. The data gathered can then be used to adjust the amount of water needed.

Drones may be used by farmers to determine plant health and, if necessary, take corrective actions. Likewise, smart farming techniques enable farmers to better track their animals’ individual needs and adjust their diet accordingly, preventing disease and improving their wellbeing and health.

Smart farming gives farmers the ability to produce a more efficient and sustainable yield based on data collected in the field. It also adds value to farmers by allowing them to make better and more timely decisions.

Without question, technology is changing the way we work and live. 

Final Words

Agriculture has experienced many disruptions as a result of the introduction of different technologies, with a particular focus on agricultural employment. Agricultural technician jobs are becoming increasingly popular to meet the needs of the changing times. Nonetheless, it is undeniable that technology has improved agriculture! You should learn more about the various types of agricultural employment that technology makes possible, including agronomy, agricultural finance, and livestock.

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5 Ways Artificial Intelligence Can Help Space Exploration

In recent times, artificial intelligence has waived so that we can solve problems more quickly than conventional computing will ever permit. Google’s artificial intelligence subsidiary DeepMind has recently created AlphaFold2, for instance, to solve the problem of protein folding. It’s a mystery that scientists have been puzzled for 50 years.

AI advances have helped us, and are not limited to applications on this planet, to move on in all types of disciplines. Here are just a couple of ways artificial intelligence can enable us to move deeper into space, from developing missions to clearing the Earth’s junk orbit.

Astronaut Assistants

Do you recall Tars and Case, the Interstellar film’s assistant robots? Although these robots are not yet available for actual space flights, researchers work towards some kind of this, building intelligent helpers to support astronauts. These AI assistants may be extremely useful for space exploration even though they don’t look as fantastic as it is in the movies.

A newly developed virtual wizard could detect hazards from longer space missions, including changes to the atmosphere of a spacecraft – including such increased carbon dioxide – or a sensor defect that might potentially cause harm. The crew will then be warned of inspection recommendations.

In December 2019, an AI assistant named Cimon flew to an ISS where he was being checked for three years. Cimon can eventually be used to relieve tension by astronauts in carrying out the tasks they request. NASA also develops an astronaut friend, known as Robonaut, on the ISS, who works with or is taking on tasks too dangerous for the astronauts.

Mission Planning and Design

Planning a Mars mission is not even an easy job, although it can be simpler with artificial intelligence. Traditionally, new space missions depend on previous studies of science. This information can, though, sometimes not be completely available or restricted.

This implies that the flow of technical knowledge is limited by who could really access and share it with other engineers. And what if anybody with authority had access to all knowledge from almost all past space missions in a few clicks. One day, a smarter framework could be installed to support the early planning and design of new space missions – close to Wikipedia but using artificial intelligence that answers complicated requests with accurate and relevant data.

Research teams are working on the concept of an assistant design technician to reduce the time it takes to start the task that otherwise requires several hours of human labor. “Daphne” is another smart example of an Earth-watching device design assistant. In satellite design teams, Daphne is being used by system engineers. It facilitates the work by providing access to information and input, and responses to specific queries.

Processing of Satellite Data 

Satellites of earth observation produce huge quantities of data. This is obtained over a wide duration by ground stations in chunks and must be arranged together before analysis. While some crowdsourcing projects have also been carried out on small scales to conduct simple satellite imagery analysis, artificial intelligence will go to our rescue for comprehensive analysis of satellite data.

AI was very successful in smart processing also for the sheer volume of data collected. It was used to measure urban heat storage and also to combine weather data with satellite imagery to calculate wind speed. Among several other applications, AI also contributed to the calculation of solar radiation utilizing geostationary satellite data.

AI for data acquisition could also be used for the satellites themself. In recent studies, researchers analyzed different AI techniques for just a remote satellite health monitoring system. This can be used to analyze satellite data to identify issues, forecast the output of satellite wellbeing & provide a visualization of informed decision-making.

Space Debris

Anyone who is facing space debris is among the greatest obstacles in the 21st century. There are almost 34000 objects larger than 10cm, as per ESA, that represent significant threats to existing space infrastructure. Some creative approaches are available to address the threat, such as developing satellites to reintegrate the earth’s environment if they have been deployed in the region of low Earth’s orbit that fully disrupts them.

Another way is to avoid potential space collisions, thereby preventing any debris from being created. Researchers have recently created a system for designing collision avoidance maneuvers using ML techniques.

Another new method would be to use Earth’s huge computer power to train ML models, move them on-orbit or even on the way to spacecraft, and use them for different decision-making on board. One approach to ensure the safety of space flights has also been recently suggested by the use of already trained spacecraft networks. This makes satellite architecture more flexible while minimizing the risk of orbit collision.

Navigation Systems

On Earth, we were using instruments like Google Maps that use GPS and other systems of navigation. However, as of now, there really is no such scheme for other alien bodies.

We have really no satellite navigation around Mars or Moon, but we can take millions of images from observational satellites like the Lunar Recognition Orbiter. An intelligent navigation system using AI was developed by a team of NASA researchers in 2018, in partnership with Intel, to explore planets. The model was trained by the million photographs available from different missions as well as a virtual Moon map was developed.

Final Words

We will also continue to pursue ambitious missions in the cosmos to accommodate our natural curiosity and enhance the lives of mankind on Earth. In our efforts, artificial intelligence will allow us to explore both on Earth and in space. AI will change the future of space research and planning. It will enhance the working process and modify the space systems to its best. Therefore we can conclude that Artificial Intelligence is of great importance for space exploration and will change its face of working.

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5 Things You Didn’t Know About Nanotechnology

Regardless as to how much we hear, there was something mysterious about nanotechnology. We can’t see everything, and we can’t sense it for sure. Scientists believe that it would be in our medicine, but it is strange to think about anything that can only save your existence with nanometers.

Do we use it and don’t even realize it in our everyday life? What’s nanotechnology nicer still? It seems to be the future already occurring, but we don’t even know? These questions are answered: yes, in every place and kind. In consumer goods, medical care, the alimentary industry, and also more, nanotechnology has found a place. In reality, tracking where nanotechnology is not has become increasingly difficult. And the fact would be that the promise of technology is not close at all. Several of the outstanding achievements in laboratories are now being made. And there have been only a few of the simplest types of nanotechnology, mostly on the market.

Stay with us because we assemble the nanoscale cheat sheet and find out certain nanotechnology that could be on the horizon in your country.

It Will Help in Saving Life

The most promising field in which nanotech could be used might very well be medication. Many different therapies for tumors at the cellular level, for example for cancer, have been created. Research showed positive results from the treatment of a number of cancers utilizing golden nanoparticles. The particles are transmitted into the tumors as well as the cells are heated by an infrared laser when fired.

The most important problem with these therapies is the delivery of the nanoparticles to malignant cells while preventing healthy cells. After the administering method has been perfected, such particles can develop an amount of new noninvasive therapies, which would destroy tumors without the need for an operational trauma.

Regardless of delivery mechanisms, nanotechnology will help physicians avoid brain cancer and target lung cancer without exposing the chest without physical entry to the sufferer’s skull.

You Must Be Touching Them Presently

Regardless of the type of machine or device you are reading this post, you are probably currently also using nanotech. Nanomaterials processors and storage components are standard on the market, including antimicrobial coverings that can be seen on keyboards, mice, and boxes.

We could begin by seeing photonic crystals that make it much easier to interpret tablet screens in daylight by adjusting the color of its reflected sunlight instead of depending on the projected light of the unit. The LCD is now being lined up as a common standard and for smartphone monitors to substitute the LCD. One moment, a transparent and thin coating of nanoparticles would save a watery demise on your smartphone.

Eventually, your gadgets can last up to three times as far on a single charge only because the battery consists of tiny hairs labeled nanowhiskers. The anodes have had a much larger surface area, so that they might store additional electrons with tin throughout the lithium-ion battery. This means that you could always spend more time, dial more mobile phones and stop your Words With Friends only plug-in.

You May Be Wearing Them

The fashion industry has promised nanotechnology in manufacturing since before the early 2000s. Whatever aversion to T-shirt-driven smartphones from the shopping public, we continuously hear the ideas toss around. To be fair, there are functional aspects to the concept of piezoelectric generators. Just imagine a tent to produce sufficient electricity to charge LED lamps from the tiny breeze. Or how about a boat on every flap of its sail to recharge its batteries? Nanotech in fabric suddenly begins to be meaningful.

However, not every nanotech concept is so well received. A new product that kills odor-causing bacteria in clothing has raised several questions and concerns. Nanosilver’s nano-sized pieces of silver are just what his name means. Sport clothes designers and laundry procrastinators became excited when they found out nanosilver would prevent the development of clothing as well as other items. The silver particles attract the insulting bacteria and pop their cells practically.

It is a Kind of Biomimicry

Would you like a pair of pants which don’t absorb water? How about a non-gooey pad that allows you to climb a glass wall? You can purchase those nifty pants in supermarkets, but you’ll need to work out your inner Spider-Man throughout the right laboratory. Yeah, those were two examples of real-life nanotech, and both existed in nature even before science was noticed. Let us just take a closer look. 

Take into account the wellbeing of careless eaters: The textile industry has been developing efficient stain-resistant fabrics for many years. When all these errant drops & spills stopped getting in and when they began utilizing nanowhiskers. If you ever saw beads of rainfall and rolled a lotus leaf off—or several other leafy plants living in wet areas—you could find natural nano-wheaters. The plate is coated with nano-sized hairs, which help water droplets that do not absorb or adhere to the surface of the leaf. By attaching nanotubes to clothing fibers, companies may produce cotton, wool, or synthetic materials to repel liquid.

It’s not the science safest life for cat burglars, which is critical here. Instead, we have hardly started exploring the potential of nanotechnology, and future advances may come directly from nature. The hard thing is to design goods that complement and do not hurt the living world.

It May Be Present in Personal Products and Food

Food is indeed a field in which several people are focusing on nanotechnology’s love & interest. Many citizens are paying premiums to ensure that organic or ethical food or all of them are grown, and it is not surprising that they wouldn’t even wish to consider nanoparticles being ingested. So let’s consider some practical uses for nanotechnology for food as well as other consumables before we can get too spooked out.

So these are the 5 things that you must be not knowing about nanotechnology. It can be concluded that nanotechnology in the future will be of great importance and bring a lot of positive impacts.

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5 Best Web Browsers for Privacy

As businesses better keep up with you and collect your data on your preferred websites, the argument for safe and private browsing has always been more robust. Here, we evaluate the finest privacy and protection browsers, from internet names to stable browsers, such as the AVG Security Browser, built to save you.

The best browser provides a wide variety of powerful data protection tools from such a privacy and security viewpoint, making it easy to be using. These safe browsers do not monitor your online activity and are designed to prevent anybody from accessing your data.

Learn why browser protection is so critical or even which browser seems to be the greatest for safe, private browsing. Check the best browsers in order for privacy & security or safety.

Avast Browser

Avast Browsers features a robust array of designed-in privacy and protection tools centered on a Google Chromium framework with open-source. Anti-phishing detection protects you from malicious websites which are trying to steal your personal information or spread malware onto your browser. The strong anti-tracking system protects websites from recognizing you via cookies as well as other web monitoring methods, while specialized Anti-fingerprinting technology masks your computer and helps you battle the latest browser fingerprint privacy attack.

In addition, the built-in banking mode function provides a safe virtual workspace to safeguard your confidential financial details. If a data breach leaks some of your information, you will be automatically informed. In the event that your website you’re currently visiting does not really offer Avast Secure Browser even encrypts your data with automated HTTPS security.

AVG Security Browser

This is designed to customize and secure by dedicated security professionals. Our point of departure is Google’s open-source Chromium platform – so you can configure it with all of your preferred Chrome extensions — and integrate that with a vast array of industry-leading privacy and security functionality.

Here is a short review of the functionality of AVG Secure Browser’s private and safe browsing:

  • Block cookies from third-party monitoring as well as other anti-tracking technologies.
  • Obscure and remain anonymous when browsing advanced anti-fingerprinting steps with your smartphone against fingerprinting methods of browsers.
  • Ignore predatory websites, scammers & anti-phishing identity theft.
  • Block all quicker-browsing ads automatically or just block malicious advertisements that could really malware your browser.
  • Construct & preserve your strong passwords with such an integrated password manager for every account or install the Chrome Web Store password plugin.
  • Block suspicious third-party browser extensions via Extension Guard, ensuring you just download the trustworthy Chrome Web Store extensions.
  • With automatic HTTPS- encryption on every website you visit, secure your confidential personal details, including your credit card number, during online shopping.
  • Prevent unauthorized websites & hackers from trying to hijack your camera and webcam guards checking on you.
  • Encrypt your traffic with integrated VPN integration and mask your IP address. You also have free VPN connectivity inside your browser from AVG Secure Browser for Android.

Install AVG Secure Browser to have all these functions and much more directly into the Security and Privacy Center. We also rendered that as simple for you all to enjoy a comprehensive suite of security and privacy safeguards so that you are fully regulated over your private information and security on the Internet.


Brave is another browser that focuses on privacy and blocks advertisements, cookies & tracker tracks, and disguises your computer for fingerprinting on your browser. On an individual website level, you could adapt your protection and privacy settings, and Brave has an integrated Tor function.

A master password, unwanted, potentially malicious scripts & HTTPS encryption are features of the feature set. Brave Browser allows you to view advertisements and help your favorite pages with the opt-in Brave Rewards scheme, although most websites and producers of content depend on ad revenues to remain afloat.


The world’s most common browser is Google Chrome, which commands approximately two-thirds of its global market share for browsers. But, although the popularity of Chrome cannot be ignored, the privacy and security of Chrome is a little bit desirable.

Is it safe for Chrome? The great news is Google regularly updates Chrome. The default secure browsing defense prevents such websites and phishing attacks, and although you decide to give your browsing history to Google in order to appreciate more coverage. Cookies from third parties are allowed by default, but no integrated ad-blocks or automated HTTPS encryption also are permitted.

Since Google has been a leader in online surveillance, mass collection and analysis of data, and targeted online publicity, it is unbelievable that Chrome is not the most personal browser. You are registered in Chrome by default with your Google account, which means that almost all your browsing is connected to your profile.

In the Google and Chrome settings, as well as in certain browser extensions, you could reset several of your privacy. But privacy users probably should take another one of the browsers on just this list into account.


This Open Source Project lays the groundwork for a number of browsers from AVG Security Browser to Chrome and Microsoft Edge themselves on this list. Since Chromium was designed as a toolbox rather than as the standalone browser, you cannot just download an install file for many other browsers as you want to.

Instead, download your operating system’s new Chromium archive and uninstall it from your preferred location—typically Program Files on a PC or Mac apps.

As a software package, Chromium is lightweight, adaptable, and flexible — however, if you would like it to be as intuitive as the other, finer browsers, you have to do something about it. And because Chromium doesn’t really update automatically, you must install updates to your device in order to keep your Chromium browser secure.

So these are some of the best web browsers that you can use for secure online browsing. These viruses protect your privacy and also prevent your system from virus attacks. So you can trust these browsers and have a safe online surfing experience.

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What is this product?

statistiXL 1.8 Released

The final release of statistiXL Version 1.8 is now available. This release is mainly intended to correct some charting layout issues experienced with Excel 2007.

  • statistiXL now provides support for Microsoft Office Excel 2007. This overcomes incompatibilities experienced by Version 1.6, particularly with regards to charting. It also includes the ability to work with the new format larger worksheets of 1048576 rows x 16384 columns.  
  • Version 1.7 of statistiXL now provides support for Microsoft Windows Vista Operating Systems. statistiXL 1.7 will install and run under Microsoft Windows Vista.
  • Support for non-English language versions of Windows and Office has been enhanced. In previous versions of statistiXL, checkbox options on dialog forms were not properly restored between tests. Checkboxes would typically be restored in an indeterminate state (i.e. neither checked or cleared). If not manually corrected for each test this would lead to unexpected errors when attempting to perform an analysis. Checkbox settings are now remembered and restored correctly between tests when running statistiXL on non-English versions of Excel and Windows.
  • The ability to add Prediction Bands to bivariate regression plots has been added. This supplements the Confidence and Standard Error Bands available in previous version of statistiXL.
  • Multiple Linear Regression now tests for Multicollinearity between variables. Variables with a Tolerance of 0, indicating exact multicollinearity, are automatically excluded from the analysis.
  • Cluster Analysis now behaves like other tests, outputing results to a new blank worksheet when the Output Range field is left blank.

statistiXL is an extremely powerful, feature rich data analysis package that runs as an add-in to Microsoft’s popular Excel™ spreadsheet program. It provides access to a wide variety of both parametric and non-parametric data analysis tools and statistical tests. By working from within Microsoft Excel™, statistiXL is able to leverage the existing features of Excel™ and provide a host of additional benefits including:

  • A familiar and powerful user interface for entering and manipulating data
  • A wide variety of formatting options for altering the appearance of results
  • The presence of a sophisticated charting package that allows both the manipulation of charts produced by statistiXL and the manual creation of new charts based on statistiXL‘s output.
  • The ability to perform further ad hoc analysis using Excel’s™ own built-in functions and calculating abilities.


Factor Analysis

Factor Analysis is a procedure that seeks to determine a reduced number of variables, called factors, that explain much of the variation present in a larger number of measured variables. statistiXL provides a comprehensive module for Factor Analysis, with a variety of analytical options. Either the correlation or covariance matrix can be used in calculating the factors. The number of factors to be extracted can be established by several different criteria: 1) the number of factors can be chosen to encompass a specified percentage of the total variance in the original data, 2) you can choose to extract factors with eigenvalues greater than a set value, 3) you can extract a specific number of factors. A variety of methods are included for determining the factors including the principal component method (not to be confused with principal component analysis), principal factor method, and maximum likelihood method. The axes of the resulting factors can then be rotated to improve the factor structure using either Varimax, Quartimax, or Equamax procedures.

Results are presented in tabular form. Descriptive statistics and the correlation or covariance matrix are provided, if these options were selected.

Linear Regression

Linear regression attempts to explain the variation present in one variable (for example Height) in terms in terms of a linear relationship to variation in one or more predictor variables (for example Age). statistiXL provides comprehensive Model I regression analysis. The module allows the selection of one or more predictor variables for each single dependent variable. Options include forward or backwards stepwise regression (with P level to enter or remove), forcing of the relationship through the origin, and graphical output (normal probability plot, residuals plot, scatterplots).

Results from regression analysis are presented in tabular form and graphical form. Summary statistics are provided if this option is selected. Statistics include the R², the correlation coefficient, the adjusted R², and the standard error of the estimate. An ANOVA table is given, to summarise the significance of the regression relationship.

Principal Component Analysis

As with Factor Analysis, Principal Component Analysis is a technique that attempts to reduce complex data sets consisting of many different variables to a smaller set of new variables that still manage to describe much of the variation in the original data. These new variables, called Principal Components, are chosen to be independent and to maximise the variance found in the original data set. statistiXL provides a number of options for Principal Component Analysis. Either the correlation or covariance matrix between variables can be selected as the basis for analysis. All Principal Components can be extracted or a subset of these based on limits such as the number to extract, the percent of variance to explain or the value of an eigenvalue. Screeplots can be produced to help in the visual determination of the appropriate number of Principal Components to extract.

Results are presented in tabular and graphical form. Descriptive statistics and the correlation or covariance matrix are displayed, if these options were selected. The eigenvalues are then tabulated along with the percent of variance and cumulative percent of total variance evident in the original dataset that each of the extracted Principal Components explains.

Analysis of Variance and Covariance

Analysis of Variance (ANOVA) is used to determine whether there is a difference between three or more categorical sets of values. Analysis of Covariance (ANCOVA) on the other hand, while also used to determine whether there is a difference between categorical sets of values also takes into account the effect of one or more numerical variables called covariates. StatistiXL provides both univariate and multivariate ANOVA and ANCOVA. Factors can be specified as fixed or random and the nesting of factors is also supported. Simplified dialog boxes aid the rapid analysis of full factorial andrepeated measures models, while for more advanced analyses a comprehensive dialog box is available that allows custom models to be specified precisely detailing the factors and interactions to be included in the analysis. Post Hoc Tests are provided so that you can drill down into your dataset and see what, if any, the major differences between groups are.

Results are presented in tabulated form, starting optionally with a table of simple descriptive statistics for each group.

Contingency Tables

A contingency table is a table of counts or frequencies. It lists the number of times that each of 2 or more variables falls into a variety of different categories. A contingency test simply examines the null hypothesis that the frequencies of observations found for one variable are independent of the frequencies of observations in the other. statistiXL provides a flexible module for the analysis of contingency tables. Two-way and multi-way contingency tables can be analyzed. The statistics available for the frequency test are Chi² and log-likelihood, the latter being a good alternative approach to Chi² if the expected frequencies are small. Yates’ and Cochran’s corrections for continuity are provided for 2×2 contingency where such an adjustment is recommended because of the low degrees of freedom. statistiXL explains how to subdivide a contingency table and warns of the limited statistical value of this approach. A Heterogeneity Chi² can be used in a contingency table analysis to determine if a number of sets of observed frequency data can be combined into a single set. statistiXL explains how to analyze contingency tables for heterogeneity.

Results are presented in tabulated form, starting with an optional table of a summary of the observed and expected frequencies. The test results are then presented, with the Chi² and Log-likelihood values, along with their degrees of Freedom and P values.

Descriptive Statistics

The descriptive statistics feature of statistiXL provides a quick and easy summary of the basic parametric and nonparametric statistics that describe a sample of values. Unlike many packages, statistiXL provides modules for both linear data and circular descriptive statistics. The descriptive statistics which can be provided (by user selection) with the linear descriptive statistics module are: mean, median, mode, standard error, standard deviation, variance, coefficient of variation, lower and upper confidence limits, 25th and 75th percentiles, sum, minimum and maximum values, nth smallest and largest values (with user input of n), range, count, skewness (with probability if count >9) and kurtosis (with probability if count >19). If these data are sampled at random from anormal distribution, then the data are best summarized by the parametric statistics such as mean, variance and standard deviation. If the data are sampled from a non-normal distribution, then the non-parametric statistics such as median, mode, percentiles and range may be more appropriate statistics for summarizing these data. Options for graphical output includes a “box and whisker” plot and an error bar plot.

A sample of values collected using a circular scale (e.g. time of day or compass bearing) can be described by a variety of descriptive statistics, the more common being the mean angle, angular variance, and angular standard deviation. Optional graphical output includes a circular plot.

Nonparametric Statistics

Nonparametric statistical tests are distribution-independent tests that are used to analyse data for which an underlying distribution (such as the normal distribution) is not assumed. Non-parametric statistics have a number of advantages over parametric statistics.

statistiXL provides a diverse array of nonparametric tests. The sign test can be used to examine whether two populations have the same median, and for observations in pairs with one of each pair coming from each population. Various modifications of the sign test can be used for specific tests The Friedman test for blocked data is equivalent to a sign test, but for more than 2 groups. The Mann-Whitney test (U statistic) is a nonparametric test that uses the ranks of two independent samples, from the highest to lowest (or lowest to highest), to calculate the U statistic; it is the nonparametric analog to the parametric two-sample t-test. The Wilcoxon’s signed-rank test ranks the differences between pairs of data (or single data set of a sample) and compares the sum of positive and negative ranks with a critical U value; it is the nonparametric analog to the parametric paired t-test. The Kruskal-Wallis test is a nonparametric test for the comparison of 3 or more treatment groups, which are independent; it is the nonparametric equivalent to analysis of variance (ANOVA). A common nonparametric correlation test is Spearman’s rho rank correlation coefficients; this is analogous to the parametric Pearson’s correlation coefficient. Mood’s Median Test examines whether two or more samples come from a population having the same median. The Wald-Wolfowitz Runs test analyses a sequence of observations, or compares random samples which are mutually independent, for two or more outcomes e.g. two species of antelope, or three brands of automobile. Results are presented in tabular form.

System Requirements

  • statistiXL now provides support for Microsoft Office Excel 2007. This overcomes incompatibilities experienced by Version 1.6
  • Version 1.7 of statistiXL now provides support for Microsoft Windows Vista Operating Systems.
  • statistiXL is compatable with Excel 97, Excel 2000 and Excel 2003.
  • To be able to install statistiXL you will require just under 13MB of free disk space.
  • Memory and processor requirements are similar to those for Excel (if you can run Excel you can run statistiXL!).




Try before you buy, You can download a trial version to test if it will suit your needs.

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@Risk for Excel

Excel Ease of Use

RISK is a true add-in to Microsoft Excel, integrating completely with your spreadsheet. Browse, define, analyze—while never leaving Excel. All @RISK functions are true Excel functions, and behave exactly as native Excel functions do. @RISK windows are all linked directly to cells in your spreadsheet, so changes in one place are carried out in the other. @RISK graphs point to their cells via callout windows. Drag-and-drop ease, context-sensitive right-click menus, and the @RISK toolbar make learning and navigating @RISK a snap.

What’s New in @RISK 5.7

@RISK 5.7 is fully compatible with 64-bit Excel 2010. 64-bit technology enables Excel and @RISK to access much more computer memory than ever before. This allows for vastly larger models and greater computational power.

Simulation of Password Protected Sheets
@RISK now allows you to simulate worksheets that have been password protected in Excel. No longer do you need to unprotect your sheets to perform risk analysis, saving you valuable time.

@RISK and RISKOptimizer Merged Ribbon
Because RISKOptimizer is often used to optimize @RISK models, the buttons for RISKOptimizer have been added to the main @RISK ribbon bar in Excel for greater ease of use.

New @RISK VBA Control Methods
The new RiskResultsGraph method of the RiskSimResultsCollection object allows you to make graphs with the same syntax as the RiskResultsGraph Excel function.

What is this product?

@RISK for Six Sigma
@RISK comes with Six Sigma statistics, functions, and reports. It is used to identify, measure, and root out the causes of variability in your production and service processes and designs.

Model, Simulate, Understand

Running an analysis with @RISK involves three simple steps:

1. Set Up Your Model. Start by replacing uncertain values in your spreadsheet with @RISK probability distribution functions, like Normal, Uniform, or over 35 others. These @RISK functions simply represent a range of different possible values that a cell could take instead of limiting it to just one case. Choose your distribution from a graphical gallery, or define distributions using historical data for a given input. Even combine distributions with @RISK’s Compound function. Share specific distribution functions with others using the @RISK Library, or swap out @RISK functions for colleagues who don’t have @RISK.

Next, select your outputs—the “bottom line” cells whose values interest you. This could be potential profits, ROI, insurance claims payout, disease recovery rate, or anything at all.

2. Run the Simulation. Click the Simulate button and watch. @RISK recalculates your spreadsheet model thousands of times. Each time, @RISK samples random values from the @RISK functions you entered, places them in your model, and records the resulting outcome. Explain the process to others by running your simulation in Demo Mode, with graphs and reports updating live as the simulation runs.

3. Understand Your Risks. The result of a simulation is a look at a whole range of possible outcomes, including the probabilities they will occur. Graph your results with histograms, Scatter Plots, cumulative curves, Box Plots, and more. Identify critical factors with Tornado charts and sensitivity analysis. Paste results into Excel, Word, or PowerPoint, or place them in the @RISK Library for other @RISK users. You can even save results and charts right inside your Excel workbook.
@RISK Industries & Applications

@RISK is used to analyze risk and uncertainty in a wide variety of industries. From the financial to the scientific, anyone who faces uncertainty in their quantitative analyses can benefit from @RISK.



System Requirements

  • Minimum Platform: IBM PC compatible Pentium or higher; Microsoft Windows 95 or higher; Microsoft Excel 97 or higher
  • Recommended: 32 MB RAM, or greater


You can download a 10 days FREE trial version to test if it will suit your needs.

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Spreadsheet Consolidator for Excel

What is Spreadsheet Consolidator for Excel?

Spreadsheet Consolidator for Excel is an add-in for Microsoft Excel which will allow you to consolidate spreadsheet data from one or several sheets from one or many open workbooks, easily and quickly.

Save yourself a lot of time and effort, consolidating all of your important and huge data with Spreadsheet Consolidator for Excel.

Highlight Features

Spreadsheet Consolidator has many features:

Moreover, Spreadsheet Consolidator for Excel is TOTALLY COMPATIBLE WITH EXCEL 2010 and WINDOWS 7 !!!

What’s New?

In this new version 2.5.0 of Spreadsheet Consolidator:

  • The interface to faciliate the access to the functions of consolidation has been improved.
  • The following kinds of consolidation have been added:
  • Consolidate the selected sheets from several workbooks (opened or closed) in one sheet per workbook.
  • Consolidate sheets with the same name in several workbooks (opened or closed) in sheet’s groups with the same name.
  • Copy the sheets of several workbooks in just one workbook.

Who need this Software

  • Consultants
  • Operations Managers
  • Marketing Managers
  • Account Executives
  • Accountants
  • Financial Advisors
  • Financial Analysts
  • Any Excel User


  • Microsoft Windows XP, VISTA , Win 7 (Note: Only Windows 32 bits)
  • No Mac Compatible
  • Microsoft Excel 2003, 2007 or 2010


NOTE: If you prefer to try before you buy and know whether this product will satisfy your needs and work as you expect, you can try a trial.
Warning: This option has NO right to refund.

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Consolidator Enterprise for Excel

What is Consolidator Enterprise for Excel?

Consolidator Enterprise for Excel is a Microsoft Excel complement especially created to consolidate a large volume of data in just a few seconds, making it possible to obtain advanced processing reports for an immediate view of the information, to serve as support in the decision making process.

This effective tool allows the consolidation of Excel spreadsheets in just a few minutes, without any quantity restrictions, and at different levels of consolidation, to then prepare an analysis of the information and present consolidated data reports, dynamic table reports and cross-section reports.

All of the above is possible in a friendly environment, very pleasant to the eye, always thinking of the user, incorporating powerful built-in computer algorithms.

he most important features are as follows:

  • Possibility of creating “n” consolidation models and keeping them in a data base for later use.
  • Ability to select, based on a prototype, the treatment to be given to data when performing consolidation.
  • Option to create consolidation structures (trees) at different levels, as many as needed, to be able to analyze the information.
  • Ability to generate dynamic table reports and crossed-section reports, through a powerful screening system, to focus on the analysis, only for some spreadsheets, for some rows and/or for some columns, as desired.
  • Giving examinations.
  • Carrying out training processes.
  • And much more …

Moreover, Consolidator Enterprise for Excel is TOTALLY COMPATIBLE WITH EXCEL 2010 and WINDOWS 7 !!!

What’s New?

In this New version 2.1.0 we have added:

  • Conducting surveys module has been removed for superior versions of 2003. *A new individual product for surveys will be released soon.
  • The following consolidation tools have been removed for superior versions of 2003 * These ones will be added to Spreadsheet Consolidator: – Consolidator wizard – Consolidate ranges – Smart consolidación – Detailed consolidación – Conditional text – Merge tables.
  • Interface has been improved making it more intuitive providing access to functionalities.
  • Now you can create and manage your consolidation models by levels.
  • Easily customize your templates.
  • Consolidate worksheets grouped by levels within minutes.
  • Get analysis reports of information from different views.

Who need this Software

  • Consultants
  • Operations Managers
  • Marketing Managers
  • Account Executives
  • Accountants
  • Financial Advisors
  • Financial Analysts
  • Any Excel User


  • Microsoft Windows XP, VISTA , Win 7 (Note: Only Windows 32 bits)
  • No Mac Compatible
  • Microsoft Excel 2003, 2007 or 2010.


Try Before You Buy, You can download a free Trial version to see if it suits your needs.
Warning: This option has NO right to refund.

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Chart Tools for Excel

What is Chart Tools for Excel?

This software will convince you that it has never been so easy to handle Excel charts.

With this add-in for Microsoft Excel you will be able to:

  • Copy and paste format from a chart to another one
  • Resize and save charts
  • Add images
  • Add and move labels,
  • Configure quickly the most common tasks in your spreadsheets and more…

What’s New?

In this New version 2.0.3 we have added:

  • Now compatible with Office 2010

Who need this Software

  • Statisticians
  • Financial Analysts
  • Any person who uses Excel for making statistical reports with professional look.


  • Microsoft Windows XP, VISTA , Win 7 (Note: Only Windows 32 bits)
  • No Mac Compatible
  • Microsoft Excel 2003, 2007, 2010.


Try Before You Buy, You can download a free trial version to see if it suits your needs.

Buy at your own risk because then you will not be entitled to refunds.

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