Open-source software economics and community health analytics: Enter CHAOSS
Trying to capture the value open-source software generates can be a bit chaotic. The CHAOSS project may lend a helping hand.
Read More →Open source AI stack is ready for its moment
Open source stacks enabled software to eat the world. Now several innovative companies are working to build a similar open source software stack for AI development.
Read More →Data meets science: Open access, code, datasets, and knowledge graphs for machine learning research and beyond
A new interconnected ecosystem for research is shaping up, and machine learning is just the tip of the iceberg.
Read More →Getting there: Structured data, semantics, robotics, and the future of AI
Leveraging structure in data is key to making progress in AI, says AI prodigy Gary Marcus. A forward-looking view on Software 2.0, AI chips, robotics, and the future of AI
Read More →Rebooting AI: Deep learning, meet knowledge graphs
Gary Marcus, a prominent figure in AI, is on a mission to instill a breath of fresh air to a discipline he sees as in danger of stagnating. Knowledge graphs, the 20-year old hype, may have something to offer there.
Read More →Own your newsfeed, own your data
A guide to keeping all your news sources and items in one place We all have things we care about and follow. Whether it’s sports, arts, technology, from the mainstream to the obscure, we gravitate around them. Over time, we tend to both specialise, accumulating knowledge in specific sub-domains, and expand, jumping to adjacent topics […]
Read More →What’s next for AI: Gary Marcus talks about the journey toward robust artificial intelligence
Gary Marcus is one of the more prominent, and controversial, figures in AI. Going beyond his critique on Deep Learning, which is what many people know him for, Marcus puts forward a well-rounded proposal for robust AI
Read More →AI and automation vs. the COVID-19 pandemic: Trading liberty for safety
Reports on the use of AI to respond to COVID-19 may have been greatly exaggerated. But does the rush to pandemic-fighting solutions like thermal scanners, face recognition and immunity passports signal the normalization of surveillance technologies?
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.
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