Over the recent months, you have probably seen a lot about AI or Artificial Intelligence. Whilst the images of the Pope playing basketball are entertaining, there is still a lot to learn.
Usually, AI goes hand in hand with evil villains in science fiction films and literature. Whilst Terminator and I, Robot made convincing villains; the reality is not quite as exciting. At the end of the day, a complex set of codes for a programme to follow.
So what is AI really?
Artificial Intelligence (AI) is more lista de números móviles de asia of an umbrella term used to describe a program that is capable of some form of cognitive function (e.g. perceiving, reasoning, learning, problem-solving and interacting with an environment). Although it does not have an official technical definition.
However, there are a couple of defined categories (types) of AI defined by their abilities. Think of it like Russian dolls. All deep learning machines are artificial intelligence but not all artificial intelligence is capable of deep learning.
Machine learning (ML)
Machine learning is made up of algorithms el coste por acción objetivo debe determinarse en base al análisis that are ‘trained’ on data. These algorithms ‘learn’ the patterns in the data it is presented with and make predictions and recommendations. It can do this by processing data from the ‘experience’ it ‘learns’ whilst ‘training’. Ultimately making better decisions over time as it gains more ‘experience’ (from new data and interacting with it).
This is in contrast with traditional (non-AI) machines that rely on receiving explicit programming instructions.
It might be a surprise to hear
that machine learning is nothing new. The first record of machine learning was in 1943. In 1952 the first computer learning programme was written by Arthur Samuel. It was designed to play a game of checkers.
By 1997 things had advanced even further. IBM’s Deep Blue shocked the world by beating World Chess champion Garry Kasparov.
Machine learning is defined as
an algorithm adapting in response to new data and experiences to improve its efficiency over time. You will already be interacting with ML programmes every day.
e.g. Google Maps uses location data from your phone to inspect shifting traffic. The app can also organise user-reported traffic, accidents and construction works. By assessing the relevant data, Google Maps can reduce your commuting time and recommend alternatives.
For us at Livewire Marketing, we use Machine Learning as part of our SEO strategy for our clients. We use ML every day to help us spot opportunities and gaps in the market. This could be finding relevant content topics or spotting competitive gaps. We use Artificial Intelligence to be in the same spaces that our prospective clients are.
Deep learning (DL)
Similar to ML, Deep Learning programmes Lista fresca go further. They can process a wider range of data such as images, text and music. This type of AI has grown in popularity (or notoriety) in recent months. Deep learning algorithms often require less human intervention and can produce some credible results. The key word here is credible.