AAAI Hosts the National Botball Tournament!

AI Magazine

Botball is a national program in which teams of middle and high school students design, build, and program small autonomous mobile robots to compete in a highly charged interactive (but nondestructive) tournament. Botball students learn to program in c, construct feedback and control loops, create electromechanical systems, and integrate it all together while they work on a team. Botball takes place in regional tournaments across the country and culminates in a National Botball Tournament traditionally hosted by the American Association for Artificial Intelligence at its annual conference. This program puts reusable equipment into schools and, at the Botball Teacher Workshops, trains teachers in robotics and the integration of robotics into their curriculum. Botball appeals to a wide variety of students and brings out the best in each, challenging them to solve realworld problems in a dynamic environment at their own level.

Will this artificial intelligence system keep your kindergarten toddlers safe?


While China has invested an enormous amount in artificial intelligence in recent years, most video analysis systems are currently used in national security, including defence and anti-terrorism activities.

[D] Research topic for a high school student • r/MachineLearning


I'm practicing explaining ML concepts, so, experts, please correct me if any of my points are incorrect or misleading. For example, I was reading an example of regression analysis where the factors such as cylinders, displacement, horsepower affect the mpg of a car. The topic would touch on how many of these factors, or neurons is too much. It seems like you may be conflating features, data about what you're observing that you give as inputs to your model, such as "cylinders, displacement, horsepower", and neurons, which are fine-tuned by training to make up the function you're trying to learn. Maybe I can help you by giving a few reasons people don't just keep increasing the number of neurons.

China turns to artificial intelligence to boost its education system


For Peter Cao, who has dedicated 16 years of his career to teaching chemistry in a high school in central China's Anhui province, in every teacher there lives a "doctor". He spends two to three hours a day grading assignments, a process the 38-year-old describes as "diagnosing". "By reviewing the homework of my pupils, I can have an overall picture about their understanding of the lessons I give," Cao said, adding that this "diagnosis" helps him draw up a teaching plan for the following day. But if the Chinese online education start-up Master Learner has its way, Cao and his 14 million fellow teachers in China will be able to hand this time-consuming review process to a "super teacher", a powerful "brain" capable of answering nearly 500 million of the most tested questions in China's middle schools as well as scoring high points in each Gaokao test, China's life-changing college entrance exam, for the past 30 years. If the super teacher sounds too smart to be human, that is because it is not.

Artificial Intelligence and High School Students -- Trying AIY for the First Time!


When we made episodes of #CoffeeWithAGoogler covering Google's Artificial Intelligence Yourself (AIY) project, we wanted to test the product with a group of high school kids. We were blown away by the results -- come check it out for yourself!

Remembering and honoring the life of undergraduate Henoch Argaw

MIT News

In the 3rd grade, Henoch Argaw began tutoring his fellow students at Southeast Christian Academy Elementary School in Colorado. "He told me and Sehin [his mother] that he was writing a math instruction book," recalls Neway Argaw, his father. "By that time, he was already attending 5th grade [level] math and science courses." Their son continued tutoring all the way through high school and also took up a related pursuit, refereeing and coaching youth soccer for the Colorado Storm and other Colorado soccer clubs. He was also a competitive chess player and played the trumpet since 4th grade.

Machine Learning For Software Developers


The workshop is intended for Software Developers with a strong background in fundamental Computer Science topics like data structures and algorithms. SPEAKER: The workshop was delivered by MENA Devs' member Islam El-Ashi who is a hacker and a software engineer. Based in Silicon Valley, Islam was an early member of a number of startups like TellApart and Wish, and also contributed at larger companies like Twitter, Google, and Evernote. Prior to moving to Silicon Valley, Islam was a social entrepreneur in Egypt and the founder of Diraya, an organization producing MOOCs and followed by thousands of high school students in Egypt.

Google's AI is no smarter than a first grader, study says


Google's AlphaGo may have unseated Ke Jie as the Go world champion but it's no smarter than a kindergartner. A study published Saturday showed Google's artificial intelligence technology scored best out of 50 systems that Chinese researchers tested against an AI scale they created, although it's still no smarter than a six year old, CNBC reported Monday. AI systems have developed so quickly that it's been able to act as an assistant, take an exam and even outperform us at strategy games.

Google's AI is no smarter than a first grader, study says


Google's AlphaGo defeated Chinese Go player Ke Jie (left) this year to become the world champion. Google's AlphaGo may have unseated Ke Jie as the Go world champion this year, but the artificial intelligence behind AlphaGo is actually no smarter than a 6-year-old child. A study published Saturday showed Google's artificial intelligence technology scored best out of 50 systems that Chinese researchers tested against an AI scale they created, CNBC reported Monday. With a IQ score of 47.28, Google's AI was almost twice as smart as Apple virtual assistant Siri, which scored 23.94. AI systems have developed so quickly that they've been able to act as assistants, take exams and even outperform us at strategy games.

No, the gender gap in tech isn't set in stone

Los Angeles Times

It is often said that women are absent from the sciences. But this is not true. Although a gender gap remains in the sciences overall, the gap is closing. Women are now more likely than men to earn undergraduate degrees in biology, and they are almost as likely as men to earn undergraduate degrees in chemistry and math. There are, however, several scientific disciplines that women are still much less likely than men to choose to study: computer science, engineering and physics.