A common downside to work-from-home. (Still a lot to learn here.)
Hacker Steals $7.5 Million from Maryland Non-Profit by Compromising Employee’s Personal Computer
A hacker stole $7.5 million from the endowment funds of The Jewish Federation of Greater Washington, a non-profit from Maryland in the US.
Such security incidents perfectly illustrate the dangers of working from home, as the hacker compromised the personal computer of an employee working remotely. CEO Gil Preuss made the announcement in a virtual call with employees, according to a report from The Washington Post.
… The hack was only discovered on August 4 by a security contractor who noticed unusual activity in an employee’s email account. Preliminary information shows the hacker had access to the system long before stealing the money, as early as the first months of summer.
Be concerned. Be very concerned.
https://securelist.com/digital-education-the-cyberrisks-of-the-online-classroom/98380/?web_view=true
Digital Education: The cyberrisks of the online classroom
… As fall approaches, digital learning will continue to be a necessity. In fact, half of all U.S. elementary and high school students will be entirely online. Even those that are reopening are deploying some kind of hybrid model, such as delivering large lectures online. What’s more, the threat of a second coronavirus wave still remains, meaning that future large-scale school closures are still a possibility.
With this in mind, Kaspersky researchers took a closer look at the cyber risks faced by schools and universities, so that educators can be prepared moving forward – and take the necessary precautions to stay secure.
Don’t miss.
An Ethical Framework for Artificial Intelligence—Part III
This column will review the remaining two principles in "Responsible AI" and examine how this work relates to the recent report issued by the European Commission, writes Technology Law columnist Peter Brown.
Perspective. To know or not to know. (Two week free trial available.)
This know-it-all AI learns by reading the entire web nonstop
… Like GPT-3, Diffbot’s system learns by vacuuming up vast amounts of human-written text found online. But instead of using that data to train a language model, Diffbot turns what it reads into a series of three-part factoids that relate one thing to another: subject, verb, object.
Pointed at my bio, for example, Diffbot learns that Will Douglas Heaven is a journalist; Will Douglas Heaven works at MIT Technology Review; MIT Technology Review is a media company; and so on. Each of these factoids gets joined up with billions of others in a sprawling, interconnected network of facts. This is known as a knowledge graph.
… But Google only does this for its most popular search terms. Diffbot wants to do it for everything. By fully automating the construction process, Diffbot has been able to build what may be the largest knowledge graph ever.
Alongside Google and Microsoft, it is one of only three US companies that crawl the entire public web.
… Researchers can access Diffbot’s knowledge graph for free. But Diffbot also has around 400 paying customers. The search engine DuckDuckGo uses it to generate its own Google-like boxes. Snapchat uses it to extract highlights from news pages. The popular wedding-planner app Zola uses it to help people make wedding lists, pulling in images and prices. NASDAQ, which provides information about the stock market, uses it for financial research.
New and improved?
DOJ Tweaks Guidelines on Divestitures, Antitrust Merger Remedies
… The updated merger remedy manual outlines how the DOJ will structure certain settlements to ensure that competition remains robust once a merger is completed.
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