Verifying Twitter: Towards a more human web.
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This is a pitch that I created at the Reverse Hackathon by Hack Mental Health on June 9, 2018. I was fortunate to make it into the top 10 of about 40 teams. If you're interested in this idea (and especially if you work for Twitter), please reach out to me.
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- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Principle of conventional tomography-Bibash Shahi ppt..pptx
before the computed tomography, it had been widely used.
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You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
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Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.Recently uploaded (20)
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Verifying Twitter: Towards a more human web.
- 1. Verifying Twitter Reducing identity theft and increasing public trust by Jim Kleiber Reverse Hack, June 9th, 2018
- 2. History of Verified Twitter Tony La Russa lawsuit in 2009 for impersonation
- 3. History repeating Lifehacker article How to Find Out If a Twitter Bot Is Impersonating You Online
- 4. Size of the problem
- 5. Reddit 4chan Discord Twitter Facebook TV News Newspapers Institutions Verified Identity Youtube 8chan Me Anonymity Verified Twitter
- 6. Twitter Facebook TV News Newspapers Institutions Verified Identity Youtube Me Anonymity Verified Twitter
- 7. Twitter Facebook TV News Newspapers Institutions Verified Identity Youtube Me Anonymity Verified Twitter
- 8. Twitter Facebook TV News Newspapers Institutions Verified Identity Youtube Me Anonymity Verified Twitter
- 9. Twitter Facebook TV News Newspapers Institutions Verified Identity Youtube Me Anonymity Verified Twitter
- 10. Twitter Facebook TV News Newspapers Institutions Verified Identity Youtube Me Anonymity Verified Twitter
- 11. Twitter Facebook TV News Newspapers Institutions Verified Identity Youtube Family Anonymity Verified Twitter
- 12. Twitter Facebook TV News Newspapers Institutions Verified Identity Youtube Me Anonymity Verified Twitter
- 13. Verified Twitter users 0.05% In 2015
- 18. How would this help? • Increase confidence interacting with a real human with a real name • Decrease worry that someone will mistake a fake account for their real account (or non-existent account) • May decrease emotional attacks, as it’s harder to attack when our real name is attached to it
- 19. Why would Twitter do this? • Keep anonymity on platform — save face • Protect users from pain of impersonation • Avoid legal issues related to impersonation/identity theft • Save their business? Charge maybe $10/year to be verified and/or interact with only verified users
- 20. Twitter Facebook TV News Newspapers Institutions Verified Identity Youtube Me Anonymity Verified Twitter Facebook Youtube Spread to others?