Currently, running data science and machine learning projects are strictly the prerogatives of data scientists who need to work with cleaning the data and performing exploratory analysis before identifying different models, running them on by one, performing parameter tuning and…
As times have changed, more and more companies are concluding that their methods and processes are not enough to keep their customers happy, and that’s where digital transformation comes in. As the world changes, digital transformation is essential for all…
At Equinor’s giant new North Sea oilfield, thousands of sensors feed into Data Gumbo’s novel blockchain platform—encoding an immutable record of operations, the better to automate contracts, pay vendors and even measure carbon emissions. In the frigid North Sea, 90…
The obsession with models, meaning, the neural network architectures that define the form of a machine learning program, has run its course, said Re. Re recalled how in 2017, “models ruled the world,” with the prime example being Google’s Transformer.…
In a breakthrough that could guide the development of targeted vaccines, MIT researchers used natural language processing methods lifted from the field of computational linguistics to analyze the viral protein sequence data of influenza A, HIV, and SARS-CoV-2 to identify…
In a new machine learning approach, engineers did away with the human brain and all its beautiful complexity. Whereas most machine learning algorithms can’t hone their skills beyond an initial training period, the researchers say the new approach, called a…
