The Girls of Steel, FIRST Robotics Competition Team 3504, founded in 2010 at Carnegie Mellon's Field Robotics Center, has a team mission to empower everyone, especially women and girls, to believe they are capable of success in STEM. The principles of our team include: teamwork, communication, respect, integrity, inclusion, and safety. We teach mechanical and technical skills, programming and analytical thinking, as well as leadership, teamwork, and business skills. We also value a commitment to quality, ethical behavior, and respect for others. Through outreach we aim to educate young people in STEM using hands-on design and development of a robot.
The updates coincide with the annual National Robotics Week, a time when kids, parents and teachers across the nation tap into the excitement of robotics for STEM learning. Supporting Social and Emotional Learning The events of the past year changed the traditional learning environment with students, families and educators adapting to hybrid and remote classrooms. Conversations on the critical importance of diversity, equity and inclusion have also taken on increased importance in the classroom. To address this, iRobot Education has introduced social and emotional learning (SEL) lessons to its Learning Library that tie SEL competencies, like peer interaction and responsible decision-making, into coding and STEM curriculum. These SEL learning lessons, such as The Kind Playground, Seeing the Whole Picture and Navigating Conversations, provide educators with new resources that help students build emotional intelligence and become responsible global citizens, through a STEM lens. Language translations for iRobot Coding App More students can now enjoy the free iRobot Coding App with the introduction of Spanish, French, German, Czech and Japanese language support.
The OSSU curriculum is a complete education in computer science using online materials. It's for those who want a proper, well-rounded grounding in concepts fundamental to all computing disciplines, and for those who have the discipline, will, and (most importantly!) good habits to obtain this education largely on their own, but with support from a worldwide community of fellow learners. It is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements, as it is assumed most of the people following this curriculum are already educated outside the field of CS. The courses themselves are among the very best in the world, often coming from Harvard, Princeton, MIT, etc., but specifically chosen to meet the following criteria. When no course meets the above criteria, the coursework is supplemented with a book.
In the middle of 2020, the QuillBot summarizer was launched. It has since become a game changer for many users because it simplifies keeping up with news articles, long memos, and everything in between by identifying only the most important information. Students, bloggers, researchers, and even attorneys use the summarizer to find, compare, and contrast sources quickly and easily for both work and school projects. For those looking for inspiration or to bust writer's block, the summarizing tool helps jumpstart momentum and stave off common writing roadblocks. Many users, especially content creators, employ it to review their own work to ensure their main points are coming through in a clear and compelling way.
Sticks and stones may break my bones, but words will never hurt me. This was a mantra I picked up on the playground at elementary school--something I repeated over and over again anytime I came face to face with racism. It was a coping mechanism meant to guard my heart from the cacophony of discriminatory comments that shaped me as a young Korean American girl growing up in predominantly white spaces. But now that I'm well into adulthood, I think about the girls of color who are also being taught to pretend that words don't hurt--and the people this way of thinking actually protects. It's hard to escape the unrelenting consequences of racism: In the past year alone, we lost Breonna Taylor, George Floyd, Ahmaud Arbery, and the six women of Asian descent murdered in Atlanta (Xiaojie "Emily" Tan, Daoyou Feng, Suncha Kim, Yong Ae Yue, Soon Chung Park, Hyun Jung Grant) at the hands of this insidious disease--and those are just the names that were in the headlines. If we don't acknowledge ...
It's no secret that STEM professions--shaped by years of gender and racial bias--lack diversity. Machine learning engineering and research is no exception. Women currently hold around 25% of all computer science-related jobs, and only 12% of machine learning roles, with factors such as a lack of pay and career advancement transparency and a lack of women role models contributing to those numbers. But leaders in the machine learning and AI industry have in recent years woken to the value that women bring to the workforce. It doesn't just look good for a company to have diversity--it's integral to the success of organizations that build machine learning algorithms and artificial intelligence.
Should you follow the information on artificial intelligence, you will discover two diverging threads. The press and theatre often portray AI using human capacities, mass unemployment, and also a potential robot apocalypse. Scientific conventions, on the other hand, talk progress toward artificial general intelligence when acknowledging that present AI is feeble and not capable of lots of the fundamental elements of the human mind. But no matter where they stand compared to human intellect, now's AI algorithms have become a defining element for several businesses, such as healthcare, finance, production, transport, and a lot more. And quite soon"no area of human endeavor will Stay independent of artificial intelligence," as Harvard Business School professors Marco Iansiti and Karim Lakhani describe in their publication Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World.
If you have finally decided to take the path from Excel-copy-and-paste to reproducible data science, then you will need to know the best route to take. The good news is that there is an abundance of free resources to get you there and awesome online communities to help you along the way. The bad news is that it can get overwhelming to pick which resources to take advantage of. This here is a no-nonsense guide that you can follow without regret, so you can spend less time worrying about the trail and more time trekking it. It's based on the lessons I learned when I went from a renewable energy project engineer who had never taken a statistics class to the head of a major data platform. At the trailhead for this journey, you can find an army of educated individuals doing data analysis by necessity, not passion.
Science and technology curricula in UK schools are'not fit for purpose' and need to be updated to help pupils'change the world for the better', teachers have warned. Polls taken amid COVID-19 on behalf of the Amazon Longitude Explorer Prize found 47 per cent of teachers think the technology curriculum, specifically, is out of date. More than half of teachers said they had not the support to ensure lessons kept pace with advances and 59 per cent said resource shortages were limiting lesson plans. And 59 per cent said the STEM (Science, Technology, Engineering and Mathematics) curricula constrain their ability to help students reach their potential. The findings also flagged issues that have arisen specifically as a consequence of the COVID-19 pandemic -- including the impact such has had on practical teaching.
As of March 23, get the full bundle for only $39.99. Computer science is always evolving. It's interlaced with all kinds of subjects in our tech-driven world, so more and more industries are requiring these skills -- from programming and business analysis to security and artificial intelligence. In fact, the number of job opportunities for computer science experts is growing faster than in any other occupation. If you're looking to expand the realm of opportunities available to you, it's not a bad idea to get familiar with the basics of computer science.