📃Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World
📙 Journal: Chemical Research in Toxicology (I.F.=3.7) 🗓Publish year: 2025
🧑💻Authors: Srijit Seal, Manas Mahale, Miguel García-Ortegón, ... 🏢Universities: Broad Institute of MIT and Harvard, United States- University of Cambridge,UK
📃Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World
📙 Journal: Chemical Research in Toxicology (I.F.=3.7) 🗓Publish year: 2025
🧑💻Authors: Srijit Seal, Manas Mahale, Miguel García-Ortegón, ... 🏢Universities: Broad Institute of MIT and Harvard, United States- University of Cambridge,UK
"Your messages about the movement of the enemy through the official chatbot … bring new trophies every day," the government agency tweeted. This ability to mix the public and the private, as well as the ability to use bots to engage with users has proved to be problematic. In early 2021, a database selling phone numbers pulled from Facebook was selling numbers for $20 per lookup. Similarly, security researchers found a network of deepfake bots on the platform that were generating images of people submitted by users to create non-consensual imagery, some of which involved children. "The argument from Telegram is, 'You should trust us because we tell you that we're trustworthy,'" Maréchal said. "It's really in the eye of the beholder whether that's something you want to buy into." "Someone posing as a Ukrainian citizen just joins the chat and starts spreading misinformation, or gathers data, like the location of shelters," Tsekhanovska said, noting how false messages have urged Ukrainians to turn off their phones at a specific time of night, citing cybersafety. Ukrainian forces successfully attacked Russian vehicles in the capital city of Kyiv thanks to a public tip made through the encrypted messaging app Telegram, Ukraine's top law-enforcement agency said on Tuesday.
from hk
