Unlocking

Essential metrics and methods to reinforce performance across retrieval, generation, and end-to-end pipelinesIntroductionWhen we expect of a few of the most typical applications of Generative AI, Retrieval-Augmented Generation (RAG) has indisputably surfaced to turn...

Agentic AI will not be just one other tool within the scientific toolkit but a paradigm shift: by allowing autonomous systems to not only collect and process data but in addition to independently...

Healthcare in the USA is within the early stages of a major potential disruption as a consequence of using Machine Learning and Artificial Intelligence. This shift has been underway for over a decade, but...

The healthcare industry is rapidly entering the following era of its technology-driven story, with AI (artificial intelligence) being a chief accelerator. Data shows that 75% of healthcare providers and professionals think AI-related technologies shall...

How the analogy-completion task modified word representationThis essay goals to debate the event of the word2vec and GloVe algorithms because it pertains to a secondary purpose for which these algorithms have been applied: the...

Harnessing Deep Learning to Transform Untapped Data right into a Strategic Asset for Long-Term Competitiveness.Our goal was to predict business data based on physical data (and we did it). I'm pleased to tell you...

To achieve greater visibility into its supply chain, fast-food restaurant giant McDonald’s teamed up with supplier Golden State Foods in a pilot project that uses radio-frequency identification (RFID) technology to routinely track fresh beef’s...

Data is prime to the practice of medication and the delivery of healthcare. Until recently, doctors and health systems have been restricted by a scarcity of accessible and computable data. Nevertheless, that is changing...