Fully appreciating the overarching scope of CS requires weaving more than ethics into the reigning curricula.

Observations of the 75th anniversary of the end of World War II in Europe (May 8, 1945) included remembrances of such searing events as the struggle on Omaha Beach on D-Day, the Battle of the Bulge, and at least some recognition of the enormous contribution made by the Russian people to the defeat of Fascism. Yet in all this, I suspect the role of the first "high-performance computing" capabilities of the Allies--known as Ultra in Britain, Magic in the U.S.--will receive too little attention. The truth of the matter is that the ability to hack into Axis communications made possible many Allied successes in the field, at sea, and in the air. Alan Turing and other "boffins" at Britain's Bletchley Park facility built the machine--a much-improved version of a prototype developed by the Poles in the interwar period--that had sufficient computing power to break the German Enigma encoding system developed by Arthur Scherbius. The Enigma machine was a typewriter-like device with three rotors, each with an alphabet of its own, so each keystroke could create 17,576 possible meanings (26 x 26 x 26).

In the era of the Internet, the ability to crunch large amounts of data and process it with speed and efficiency has become essential for businesses to survive. But you try sitting down and going through all that data by hand: you'll get done sometime in the year 2050 if you're lucky. That's where machine learning comes to the rescue. But sorting through a sea of providers and companies is an exhausting process. What can you do to narrow it down?

Twice a year, recent law school graduates nationwide prepare for the bar examination, the biggest test of would-be attorneys' lives. "Bar prep," the shorthand for the two months of exhausting 12-hour days of study, costs upward of $3,000 and culminates in thousands of applicants filing into convention and conference centers in major cities for two days. The spread of COVID-19 has made this traditional arrangement unsafe and, frankly, unethical. Nonetheless, 23 states are still opting for in-person bar exams next week, placing applicants at risk for contracting COVID-19 while mandating that applicants sign liability waivers releasing state bars of all legal culpability should the applicant become ill as a result of an in-person exam. The sad reality is that many will need to risk their lives to take an exam that some have called "an unpredictable and unacceptable impediment for accessibility to the legal profession" that does nothing to protect the public.

The New York Legislature has passed a two-year moratorium on the use of facial recognition in schools. The ban approved by the House and Senate on Wednesday follows an upstate district's adoption of the technology as part of its security plans and a lawsuit from civil rights advocates challenging that move. The legislation would prohibit the use of biometric identifying technology in schools until at least July 1, 2022, and direct the state's education commissioner to issue a report examining its potential impact on student and staff privacy and recommending guidelines. The Lockport Central School District activated its system in January after meeting conditions set by state education officials, including that no students be entered into the database of potential threats. Schools have been closed since mid-March because of the coronavirus pandemic.

Sheema Khan is the author of Of Hockey and Hijab: Reflections of a Canadian Muslim Woman. The warning signs had been there all along. An assault on a 15-year-old boy; death threats against the man's own parents; a police safety bulletin warning of his gun stash and desire to kill a cop; violent attacks against his spouse; a weapons complaint to the RCMP; fear by neighbours and relatives of his sociopathic behaviour; rampant alcoholism. As an in-depth Globe feature reported, the nation's worst mass shooter "was the kind of man who made people nervous, bragged about knowing how to dispose of bodies and built miniature coffins as a hobby." As we wait for the launch of a public inquiry, there are so many questions about the horrible incident in Nova Scotia.

Riiid, a Seoul, South Korea-based startup developing AI test prep solutions, today closed a $41.8 million pre-series D financing round, bringing its total venture capital raised to date to $70.2 million. CEO YJ Jang says the funding will be used to advance Riiid's technology that offers personalized study solutions based on big data analysis, and to bolster the company's expansion across the U.S., South America, and the Middle East as it establishes an R&D lab -- Riiid Labs -- in Silicon Valley. The pandemic has forced the shutdown of schools in countries around the world; cramped indoor classrooms are seen as a major threat vector. Despite inequities with regard to internet access and the widening achievement gap, it's the belief of educators that the health pros outweigh the cons. Riiid, which offers its services exclusively online, has been a beneficiary of the shift.

In the "Corona Summer" of 2020, Prof. Dr. Philipp Hennig remotely taught the course on Probabilistic Machine Learning within the Tübingen International Master Programme on Machine Learning. The course consists of two 90min lectures per week (26 lectures in total) plus a weekly practical / tutorial. Videos of all lectures are available on the youtube channel of the Tübingen Machine Learning Groups. The tutorials were taught by members of the Chair: Alexandra Gessner, Julia Grosse, Filip de Roos, Jonathan Wenger, Marius Hobbhahn, Nicholas Krämer, and Agustinus Kristiadi. The exercises and other material from these tutorials are available only to Tübingen students, via Ilias.

Machine learning is a concept that is as old as computers. In 1950, Alan Turing created the Turning Test. It was a test for computers to see if a machine can convince a human it is a human and not a computer. Soon after that, in 1952, Arthur Samuel designed the first computer program where a computer can learn as it ran. This program was a checker game, where the computer learned the player's patterns during the match, and then use this knowledge to improve the computer's next moves.

Artificial Intelligence (AI) and Machine Learning (ML) are the key drivers of the future and understanding it has become important for 21st-century kids. We bring to you an Free Demo webinar on *Artificial Intelligence for Kids* with more focus on real-world application-based projects for school-age kids.