Episode description
Episode description
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In this episode of 'Discover Daily', a massive leak from the Black Basta ransomware group reveals shocking details about modern cybercrime networks, including a 17-year-old member and $28.7M ransom demands. Security researchers uncover how the group uses corporate tools like ZoomInfo to target English-speaking organizations, while internal conflicts stall their operations. Dive into the dark world of double extortion tactics and parallels to the infamous Conti ransomware leak.
In medical tech, meet Mal-ID – an AI breakthrough analyzing immune cells to detect diseases like HIV, lupus, and COVID-19 from a single blood test. Discover how machine learning decodes B-cell and T-cell receptor patterns, offering hope for faster autoimmune disease diagnosis and silent infection detection. This "one-shot sequencing" method could revolutionize personalized medicine by mapping your immune system’s entire history.
Lastly, evolution gets a rewrite as scientists discover gene loss drives adaptation in marine life. A Molecular Biology and Evolution study shows how sea squirts called appendicularians thrived by deleting 16 key genes, enabling radical ocean adaptations and hidden "cryptic species." Explore the "less is more" evolutionary model challenging assumptions about genetic complexity – and what it means for future bioengineering breakthroughs.
From Perplexity's Discover Feed:
https://www.perplexity.ai/page/leaked-chat-logs-expose-ransom-TNwzdMedSOCWv34yS7HItg
https://www.perplexity.ai/page/ai-tool-diagnoses-diabetes-hiv-60yD.7CfT9OBJzcTZ.LYMw
https://www.perplexity.ai/page/scientists-develop-new-view-of-LQXruZGGQ1Oxdf.UzbgaJg
Introducing Perplexity Deep Research:
https://www.perplexity.ai/hub/blog/introducing-perplexity-deep-research
Perplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you’re interested in.
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