Using data is essentialfor companies, institutions and public entities, whether it be for decision-making or to carry out scientific, economic or social studies.
However, to make use of data (store it, share it, analyze it, etc.), personal...
We live in the age of data-driven decision-making. Data has become the new oil, and personal data is one of the most refined fuels. As a result, artificial intelligence (AI) has emerged as a transformative force, profoundly influencing every sector...
The HIPAA Privacy Rule was developed in response to the healthcare sector's growing reliance on information technology to enhance service delivery efficiency. Thus, the intention behind it is to protect data privacy in a complex landscape such as...
Although you would think the term "Generative AI" is a relatively new concept, this is not necessarily the case. We have been surrounded by artificial intelligence for quite some time, perhaps since MIT created ELIZA in 1966. ELIZA was a...
Back translation and synthetic data are two popular and common techniques used to augment training datasets for Machine Translation (MT) systems and to enhance their performance.
It is a rare occurrence to find a spare 30 minutes in Manuel Herranz's busy schedule as Pangeanic's CEO. However, the topic of today's interview holds significant value for audiences who have been exploring Large Language Models, GenAI, and AI in...
A Transformer is a type of deep learning architecture that uses an attention mechanism to process text sequences. Unlike traditional models based on recurrent neural networks, Transformers do not rely on sequential connections and are able to...
Data augmentation is a technique commonly used in machine learning and computer visionto artificially increase the size and diversity of a training data set. It consists of applying several transformations or modifications to existing data samples,...
Human translation remains superior to machine translation (MT) because only human translation can achieve the quality necessary to preserve the style, tone and intent of the text to be translated. Machines are not capable of understanding at the...
The proofreading phase in translation is an opportunity to perfect translated content and transcend boundaries, conveying the same message and intent to the target audience.
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