In simple terms 5G is the fifth generation of mobile network technology, the successor to 4G. It was designed to offer faster data speeds, much lower latency, that is, the delay between a request and a response, and the ability to connect far more devices in the same area than earlier generations could handle. [1]
5G is the fifth generation of mobile network technology, built to offer faster speeds, lower latency, and support for far more connected devices than 4G.
In simple terms An algorithm is a set of steps that turns an input into a result. The US standards body NIST puts it plainly: a computable set of steps that achieves what you wanted. The usual comparison is a recipe, and it holds up. Fixed ingredients go in, defined steps follow, and the same
An algorithm is a computable set of steps that turns an input into a desired result, such as a sorted list or a route.
Artificial intelligence (AI) is the branch of computer science that builds systems able to perform tasks, such as recognizing patterns, making predictions, or generating text and images, that have traditionally required human intelligence. The Organisation for Economic Co-operation and Development (OECD) defines an AI system more precisely as “a machine-based system that, for explicit or
Artificial intelligence (AI) is the branch of computer science that builds systems able to learn from data and perform tasks requiring human judgment.
In simple terms Bandwidth is the carrying capacity of a connection: how much data it can move in a second. It is usually written in megabits per second, or Mbps. Picture a pipe. Bandwidth is how wide the pipe is, not how fast any single drop travels down it. How it works Download and upload
Bandwidth is how much data a connection can carry each second, usually measured in megabits per second, and quoted separately for download and upload.
In simple terms Software sets aside small blocks of memory, called buffers, to hold the data it is working on. A buffer overflow happens when more data arrives than the block can take. The extra data does not vanish. It spills into neighboring memory and overwrites whatever was already there. How it works CISA describes
A buffer overflow happens when a program writes more data into a block of memory than that block was built to hold.
In simple terms Data visualization is the practice of turning numbers and data points into charts, graphs, maps, and other visual forms, so that patterns and comparisons are easier to see than they would be in a table of raw numbers. [1] A chart earns its place by making a pattern visible, not by decorating
Data visualization is the practice of representing data as charts, graphs, and maps so that patterns and comparisons are easier to see than in raw numbers.
In simple terms Encryption turns readable data into scrambled data using a secret key. The UK data protection regulator describes it as encoding data so that only those with the key can read it. Reversing the process is decryption. Without the key, the scrambled version should be useless to whoever holds it. How it works
Encryption scrambles data using a secret key, so that only someone holding the right key can turn it back into readable information.
In simple terms In machine learning, inference is the stage where a finished model is put to work. New data goes in, and a prediction, label or answer comes out. Training is the other half of the story. NIST describes the training stage as the phase in which a model is learned from labeled data,
In machine learning, inference is the stage where a trained model is run on new data to produce a prediction or answer.
In simple terms A large language model is a machine learning system trained on enormous amounts of text. Its core job is narrow: given some text, work out what is most likely to come next. Do that over and over and the model writes sentences, answers questions or drafts code. How it works Text is
A large language model is a system trained on huge amounts of text to predict what text comes next, one token at a time.
In simple terms Machine learning builds computer systems that adapt and learn from data in order to get more accurate. That is close to the definition NIST uses. The contrast is with ordinary software, where a person writes the rules. In machine learning the rules are worked out from examples. How it works Start with
Machine learning is the branch of computing in which systems improve at a task by finding patterns in data instead of following hand-written rules.