Things You Should Know About Computer Memory

The major and the basic function of computer memory is to store all the data on the computer. Depending on the type of data, apart from storing data, it performs some other functions as well. All its functions are related to storage only due to its primary role of storing, like RAM, ROM, data storage, hard drives and flash memory. Each of them performs its required function to keep the computer working.

The functions are as below.


Random access memory (RAM) provides the space for all the temporary application data storage. Whenever a computer needs some data, instead of going back and finding information on the hard drive, it gets it all in the RAM as it stores all the frequently used applications. This becomes easy for the system to find the required information.

When we shut down the computer, the system erases or transfers all the data of the RAM to the hard drive while making a room for the new data to get stored when the computer begins its operations again.

— Hard Drive

A hard drive is the core of a computer’s data storage. It supplies storage for system and user files that include everything from your operating system to images and documents. In technical terms, a hard drive is a rotating disk that is treated with a magnetic coating, similar to the magnetic ribbons, which are used to store data on cassettes. There is one moving arm that reads and copies all the data and from the rotating disk, it allows you to save the new data or open files from the hard disk.

— Flash Memory

Flash memory is the common term used for electronically-erasable-programmable-read-only-memory (EEPROM). This is used in video game cards of the computer and also to store some important information of the system. It is not like the other memory types that erases or copies data byte-by-byte rather EEPROM is used to edit data in groups of bytes while making it an easy and a convenient choice for the devices like memory sticks and cameras where the data stored changes frequently from time-to-time.


Read Only Memory is termed as ROM. The data that is stored by ROM is used to control the most basic computer functionalities, such as starting up, operating the computer fan and detecting peripherals. And, as the name suggests, the system or the users cannot edit this data. Everything recorded stays over there even after switching off the computer. Similar to the flash memory and hard drives, ROM is an example of non-volatile memory. Being non-volatile means that the data stays in place even when the power is off.

Benefit of Data Cleansing

What do we mean by data cleansing? It defines that a set of data is accurate. Companies rely heavily on computerization of data in a simple way, so data cleansing is a very regular task. In cleansing operation, to check for the accuracy and consistency different types of tools are used to check for consistency and accuracy.

Data Cleansing is of two categories depending upon the complexity of tasks.

Simple Cleaning. In order to verify accuracy various set of records are read by individual person or group of persons. In this task, correction of spelling mistakes and typos are done, proper filling and labeling of mislabeled data are done. Further incomplete and missing entries are completed. In order to ease operations, outdated and unrecoverable data are eliminated.

Complex cleansing. In this data, verification is done by a computer program according to a set of rules and procedures provided by the user. Misspelled words are corrected and the data which has not been updated since last five years are deleted. Even the missing city in the database can be filled by a more complex program. This is based on postal pin code and changes in currency types on pricing.

Data cleansing is required for creating efficiency of data related businesses. If the database is not updated or not correct, there is no use of contracting clients by the way of phone numbers given in the databases or sending regular emails saved to the addresses thereon. Further, it ensures that there is always consistent and correct data available in the databases. This helps to minimize errors and assists to maintain useful and meaningful records even if there is a large volume of data stored.

When two database work in cycle, data cleansing is considered as more relevant. Customer information available at one branch is available at the other branch and this gets updated at one branch gets automatically revised in the database of other branches also.

Database cleansing use techniques like transformation, rationalization, and standardization. Further, these comprise data profiling, data enrichment, and augmentation. So, databases need to be run through data cleansing periodically in order to avoid the errors which could lead to inefficient work and more complications. This process involves conversion, formatting, and preparation for upload. Since it is time-consuming, it is wiser to wiser to outsource the selected components. of business and it requires a lot of experience in data migration.

Behind Story of AI Growth

Revolution in AI Techniques:

Over the past many years, Artificial Intelligence revolution has provided the quality response for the different range of technologies. I am going to explain main reasons for the growth in its revenue. Functions of speech recognition, face detection, fingerprint recognition and much more are operating quite accurate because of Deep learning techniques. Deep Learning technique is based on the Artificial Neural Networks. Achievement in this field can be judged by its different products like a novel technique for Image Recognition, Object Detection and Prediction System for the stock market. Advances in image recognition have extended the limitations of medical treatment. Moreover, it is helping in reading X-rays, and predicting disease through improved services. Also, it is inspired by the natural intelligence of humans but now AI revolution has changed everything. It could lead to layoff, as it is overtaking human in many fields. The above graph shows the upcoming revenue for the next coming years. This will lead to highly profitable gain for the industry.

The following implementations are somehow causing the sudden growth in AI companies:

1) Implementation of Machine Learning: Object detection means analyzing the content of photos such as individual objects, faces, logos and text on them using a computer-aided cognition model. With the help of object detection, one can minimize the risk of any incident by detecting the presence of another object. Using latest technologies it can be performed in the live work environment. Within a single image, there are a lot of objects inside it, a good model can easily identify each object by extracting key visual features from an image. Different application area of object detection is Facial Biometrics, Motion Detector, Object Recognition and Text Recognition.

Any image recognition algorithm would take an image or its patch as input, an output will be the object in the image. In other words, the output will be a class label. How does an image recognition algorithm know the contents of an image? Well, you have to train the algorithm to learn the differences between different classes. If you want to find cats in images, you need to train an image recognition algorithm with thousands of images of cats and thousands of images of backgrounds that do not contain cats. Needless to say, this algorithm can only understand objects/classes it has learned.

2) Changed Technology: Today we have shifted our technology from analog to digital data communication and storage, which makes the change a convinient approach. Nowadays, robotics has made many advantages in the robots designing. They are able to take physical interaction of human being as a useful information. They can react to any physical interaction to perform the output task. This technology has made the change in robotics which has become an advantageous component in the era of Artificial Intelligence.

3) Meet Consumer’s Expectations: From time to time, customer’s need and expectation grow. Though industries are there to deal with digital data, this data is in huge amount and sometimes poor technologies may fail to handle and accomplish the goals with this data. Here comes an AI into play. High complex big data can be easily managed and handled with the aid of Artificial Intelligence. After dealing with huge data it produces better customer experience. It has brought customer’s expectations into reality which leads to great demand in industries. Facebook, Pinterest, Netflix and Google are some of the real time and effective examples to demonstrate the above fact.

4) Decision Making: By applying machine learning algorithms the power of machines has increased. These algorithms made machines able to make decisions by itself. AI has changed the scenario of decision making for business. Deep Learning has been widely used for decision making when the dataset is huge. As a demonstration Amazon has done the partnership with Microsoft to uplift projects based on Deep Learning. This reflects how effective Deep Learning is in Decision Making and handling high computation task. In today’s scenario TensorFlow, Keras has become an integral part from the business point of view. Fast and powerful processing using algorithm based tasks are applied in business for better customer satisfaction.

With all these benefits and advantages of this technology, it has proved itself a trending way for overcoming traditional issues of data handling and analytics. Thus, the growth of AI is making a path. From the study, it can be stated that market value of AI is growing due to advanced technology like Prediction System, Recommendation System etc. Up to 2021, the revenue will reach approximately $10000 Million which will be a rapid growth for the industry. AI could boost average profitability rates by 38% and lead to an economic increase of US $14 TN by 2035 with its innovative ideas. Google is exploring all aspects of machine learning with classical algorithms. It has overcome different challenges of research and technical tasks which leads to its greater demand and revenue as well.

Building Smart Cities

The global economy is in constant turmoil, governments are challenged to provide levels of service that typically only private businesses can provide and disruptive technologies are transforming industry at a rapid pace. In this bold new era where change is unavoidable it is the innovative who are positioned to surely thrive.

In 2008, the global economy fell into recession; it was the most significant downturn since the Great Depression. Recovery has been a long and exasperating struggle; at times feeling like we are clinging to the edge of a cliff, desperately trying to hold on and weather-the-storm.

Some economists even predict we are on the verge of another global recession. Foreign and domestic factors are both significant contributors to the swelling pessimism; there is the unpredictability of Trump’s Tweets, the looming collapse of the Euro, the astonishingly low cost of crude oil, student loan debts suffocating young adults who are unable to contribute to economic growth and let’s not forget about the dreaded silver tsunami.

It’s fair to say the economic outlook for the United States and Canada is unsettling. As a result of financial uncertainty many government agencies across North America are seeing their budgets tightened, while expectations from constituents continue to rise. The public opinion towards government processes, civic services and budgetary spending has become progressively more volatile in recent years.

So, how does one do more with less? Well, when you consider that we live in a world where virtual reality, 3D printing, quadcopters, pocket-sized spectrometers, and self-driving cars are no longer simply things of science fiction, the answer may be staring us directly in the face.

There are a plethora of software solutions that assist with a wide range of government functions. The technologies available today disrupt the old ways of doing things; these are solutions that automate and streamline processes, compile and share information departmentally, increase citizen engagement and enable open governments.

Numerous communities across North America are seemingly transforming into smart cities overnight; governments are adopting innovative technologies as a means to become more efficient and generate new revenue. Even more uplifting is that these advancements in technology no longer simply cater to federal and state agencies, local governments are now consuming what has become repeatable and affordable technology solutions.

Optimism should not be confused with naivety. The challenges being confronted by governments are most certainly daunting and implementing change successfully warrants its own discussion, but regardless of these hurdles the solutions being developed out of necessity are truly inventive and inspiring. More and more government agencies seem eager to evolve, refusing to fear disruptive technology and instead utilizing it as an opportunity to prosper. Navigating through the complexities of this digital age is certainly no easy task, but in a world ripe for change to the innovative go the spoils.

Derek, an employee of the E-Government Consulting Firm zedIT Solutions, works in collaboration with colleagues and partners to weave through complexities of technology and help transform public sector clients into digitally enabled government agencies.