Probably not a good thing. For one thing, these will attract the attention of the bad guys.
https://www.databreaches.net/state-legislatures-consider-bans-on-ransomware-payments/
State Legislatures Consider Bans on Ransomware Payments
Emily Poole of Alston & Bird writes:
As ransomware attacks continue to dominate the news cycle, legislation has recently been introduced in several states that would place limits on certain entities’ ability to pay a ransom payment in the event of a ransomware attack. Although the proposed limits would generally apply to state agencies and other local governmental authorities, certain state proposals may also apply to state agencies’ IT service providers, entities that receive public funds, and/or business entities more broadly. The following summary provides an overview of five pending bills in New York, North Carolina, Pennsylvania, and Texas.
Read about the bills on Privacy, Cyber & Data Strategy Blog.
"If you want peace, prepare for war?" You also need to prepare if you expect war.
Cyber espionage by Chinese hackers in neighbouring nations is on the rise
… In a wide-ranging report published by Massachusetts-headquartered Recorded Future this week, the cybersecurity firm's Insikt Group said it identified ties between a group it tracks as "RedFoxtrot” to the People's Liberation Army (PLA) Unit 69010 operating out of Ürümqi, the capital of the Xinjiang Uyghur Autonomous Region in the country.
Yeah, but…
https://venturebeat.com/2021/06/18/cybersecurity-is-the-next-frontier-for-ai-and-ml/
Cybersecurity is the next frontier for AI and ML
… I do see more and more cybersecurity companies leverage ML and AI in some way. The question is to what degree. I have written before about the dangers of algorithms. It’s gotten too easy for any software engineer to play a data scientist. It’s as easy as downloading a library and calling the .start() function. The challenge lies in the fact that the engineer often has no idea what just happened within the algorithm and how to correctly use it. Does the algorithm work with non normally distributed data? What about normalizing the data before inputting it into the algorithm? How should the results be interpreted? I gave a talk at BlackHat where I showed what happens when we don’t know what an algorithm is doing.
So, the mere fact that a company is using AI or ML in their product is not a good indicator of the product actually doing something smart. On the contrary, most companies I have looked at that claimed to use AI for some core capability are doing it ‘wrong’ in some way, shape or form. To be fair, there are some companies that stick to the right principles, hire actual data scientists, apply algorithms correctly, and interpret the data correctly.
(Related) What have we been doing?
AI researchers publish theory to explain how deep learning actually works
Artificial intelligence researchers from Facebook Inc., Princeton University and the Massachusetts Institute of Technology have teamed up to publish a new manuscript that they say offers a theoretical framework describing for the first time how deep neural networks actually work.
… The manuscript, called “The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks,” is an attempt to fill that knowledge gap. A collaboration among Yaida, Dan Roberts of MIT and Salesforce and Boris Hanin at Princeton, it’s the first real attempt at providing a theoretical framework for understanding DNNs from first principles.
… The Principles of Deep Learning Theory is available to download now on arXiv [I did not find it there. Bob] and will be published by Cambridge University Press in early 2022.
Leading to a national ID card? First, “Prove you’ve been vaccinated.” Then, “Prove you’re a citizen, citizen.”
Here’s how to use California’s new COVID vaccine verification system
The new tool is a way for residents to show they’ve been vaccinated against the coronavirus without having to carry their paper card around
Perhaps I’m not the only one who sees problems?
https://bigtechnology.substack.com/p/the-big-tech-bill-that-could-backfire
The Big Tech Bill That Could Backfire Spectacularly
… Well, in its ambitious package of Big Tech antitrust legislation, Congress may have shot a dumb rocket. The Platform Competition and Opportunity Act, one of the five bills introduced last week, would effectively put an end to the tech giants’ ability to make acquisitions. Big Tech has acquired plenty of competitors over the years and either captured their growth or shut them down, so the act might seem logical. But such a broad ban could have serious unintended consequences and lead to less competition, not more.
For your consideration.
https://www.makeuseof.com/best-microsoft-tools-for-teachers/
The 8 Best Microsoft Tools for Teachers
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