nerdismo

In this demo paper, we present the XFake system, an explainable fake news
detector that assists end-users to identify news credibility. To effectively
detect and interpret the fakeness of news items, we jointly consider both
attributes (e.g., speaker) and statements. Specifically, MIMIC, ATTN and PERT
frameworks are designed, where MIMIC is built for attribute analysis, ATTN is
for statement semantic analysis and PERT is for statement linguistic analysis.
Beyond the explanations extracted from the designed frameworks, relevant
supporting examples as well as visualization are further provided to facilitate
the interpretation. Our implemented system is demonstrated on a real-world
dataset crawled from PolitiFact, where thousands of verified political news
have been collected.

Até 1948, contas difíceis eram feitas por mulheres, as ‘computadoras’

By taking strings from an online gaming program and appending them to malicious files, researchers were able to trick Cylance’s AI-based antivirus engine into thinking programs like WannaCry and other malware are benign.

Banks, agricultural companies, and utilities are hiring more tech employees than ever before

Conventional computers need orders of magnitude more energy than the “computer” in our heads. Neural networks made of superconducting nanowires might come much closer to the real thing.

Jessica Wade has added nearly 700 Wikipedia biographies for important female and minority scientists in less than two years.

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Where do we draw the line between boosting human potential and eroding our humanity?

The Internet giant is wiring homes, neighborhoods, and cities, and powering the nation’s intelligence services. Are we sure we can trust…

“Honestly, that is what I would do. I used to love playing video games and I can’t at the same level anymore.”