Hybrid AI through data, space, time, and industrial applications: Beyond Limits scores $113M Series C to scale up
Machine learning approaches to AI alone don't cut it. Good old-fashioned AI alone does not cut it either. Beyond Limits takes a page from the AI vision book and combines different approaches for large-scale industrial applications
Read More →Data governance and context for evidence-based medicine: Transparency and bias in COVID-19 times
In the early 90s, evidence-based medicine emerged to make medicine more data-driven. Three decades later, we have more data, but not enough context, or transparency.
Read More →Garbage in, garbage out: Data science, meet evidence-based medicine
Did you ever wonder how data is used in the medical industry? The picture that emerges by talking to the experts leaves a lot to be desired.
Read More →Scientific fact-checking using AI language models: COVID-19 research and beyond
Fact or fiction? That's not always an easy question to answer. Incomplete knowledge, context and bias typically come into play. In the nascent domain of scientific fact checking, things are complicated.
Read More →GoodData and Visa: A common data-driven future?
From user, to partner and investor. That's not a very common scenario for software vendors, especially if the user-cum-partner-investor is someone like Visa. GoodData is evolving more than its relationship with select users.
Read More →Optimizing hardware infrastructure with data and AI: Granulate scores $12 million Series A funding
How does boosting hardware performance between 20% and 80% sound? This is what startup Granulate promises.
Read More →Graph analytics and knowledge graphs facilitate scientific research for COVID-19
State of the art in analytics and AI can help address some of the most pressing issues in scientific research. Here is how top scientists are using them to facilitate coronavirus research.
Read More →Data science vs the COVID-19 pandemic: Flattening the curve — but how?
Whether they are epidemiologists or not, a few people have attempted to use data and predictive models to model the COVID-19 pandemic. Let's look at the models, the data, and the assumptions and implications that come with them
Read More →Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults
What are customer insults, and what does machine learning have to do with it?
Read More →Data science vs social media disinformation: the case of climate change and the Australian bushfires
While a newly released World Weather Attribution study ties the Australian bushfires to anthropogenic climate change, disinformation on social media abounds
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