The fundamental flaws in modern social media infrastructure are nothing new, and nor is the idea of using blockchain and other decentralized technologies to help remedy them. But never before have these issues risen to the fore as they are…
The good news is that Tiny Machine Learning (TinyML) sidesteps all those downsides while tacking on data privacy as the cherry on top. TinyML is a technique or field of study in machine learning and embedded systems that explores which machine-learning…
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…
“We have a three-pronged approach that broadly looks at the origins of a given content, the content itself, and also the associated metadata that provides us additional informant and clues about a given piece of content”. From a technical standpoint,…
Automatic machine learning (AutoML) is a fast-growing area of deep learning. In simple terms, AutoML seeks to automate the end-to-end process of applying machine learning to real-world problems. Unlike other machine-learning techniques, AutoML requires relatively little human effort, which means…