Earlier this month, YouTube said it would remove videos containing misinformation about COVID-19 vaccines and would expand its current rules against falsehoods and conspiracy theories about the Pandemic. It also revealed it's removed over 200,000 videos containing dangerous or misleading COVID-19 information since early February. No wonder the World Health Organisation says the world isn't just fighting a pandemic, but an'infodemic' as well. As The New York Times recently put it, we are facing "the mass distortion of truth and overwhelming waves of speech from extremists that smear and distract". The problem, allege citizen data scientists: the infodemic isn't just crazy people talking to each other online, which in 2020 is basically BAU.

There will be a series of tutorials and sessions on tools and methods for managing and analyzing graphs and time-series data at the Strata Data Conference in San Jose, March 5-8,2018. Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the Data Show, I spoke with Leo Meyerovich, co-founder and CEO of Graphistry. Graphs have always been part of the big data revolution (think of the large graphs generated by the early social media startups). In recent months, I've come across companies releasing and using new tools for creating, storing, and (most importantly) analyzing large graphs.

Leo Meyerovich, CEO of Graphistry Inc., shares how GPUs and machine learning are protecting the largest companies and organizations in the world by visually alerting them of attacks and big outages. Using NVIDIA GPUs and CUDA, the graph analysis cloud platform is able to help the company's response and hunting team sift through 100M alerts a day. "We've built one of the world's fastest clustering algorithms and some of our customers might have had to wait hours to see the result of their data – with our tool, you can get answers in seconds," said Meyerovich. Watch more scientists and researchers share how accelerated computing is benefiting their work at http://nvda.ly/X7WpH