STEM


Why Scientists Should Have Leadership Skills

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The impact of science can continue to grow provided our scientists and science professionals are equipped with skills to create an innovative, sustainable and prosperous future. Specifically, a Future of Jobs report by the World Economic Forum indicates that, by 2020, the skills most sought after by employers will include problem solving, creative thinking, emotional intelligence and interpersonal skills. Leadership education can directly enhance the employability of science graduates, as leadership skills are often the same transferable skills sought by employers. We have recently found that science students choose to enhance their science degree with leadership education specifically to increase their employability and job opportunities outside of science.


Number crunchers in demand as data, AI startups see potential - Times of India

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CHENNAI: With a PhD in mathematics, Bharat Ramakrishna was preparing content for school children when suddenly he found a well-paying job in the machine learning & data sciences space. Maths majors are now in demand for a job in artificial intelligence and data sciences. "Areas like data science, big data, analytics are on the lookout for math students. Retail tech company Capillary Technolgies is on the lookout for maths graduates and currently has interns from students pursuing post-graduation in mathematics and computing at IIT Kharagpur.


Robots and Related Tech Play a Role in Advancing Curricula

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Manifestations of robotic and AI teaching technology can already be seen in the educational sphere. While robots are unlikely to replace human educators completely -- students will still need social interaction with other humans -- Johnson believes the technology will "push us to rethink, re-evaluate and reimagine what we think a teacher's role is, who a teacher can be and how we value the work that the teacher is doing." Robin Shoop, director of Carnegie Mellon University's Robotics Academy, advocates using robotics to advance computer science, science, technology, engineering and mathematics (CS-STEM) education. "I am most proud of the alumni who have gone on to become engineers and technology teachers who are running FIRST teams of their own," says Jason Rees, a team leader of the FIRST program at Churchville-Chili Central School District in western New York.


AI2 lists top artificial intelligence systems in its Visual Understanding Challenge

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Some of the world's top researchers in AI have proved their mettle by taking top honors in three challenges posed by the Seattle-based Allen Institute for Artificial Intelligence. Charades Activity Challenge: Computer vision algorithms looked at videos of people performing everyday activities – for example, drinking coffee, putting on shoes while sitting in a chair, or snuggling with a blanked on a couch while watching something on a laptop. THOR Challenge: The teams' computer vision systems had to navigate through 30 nearly photorealistic virtual scenes of living rooms and kitchens to find a specified target object, such as a fork or an apple, based solely on visual input. Textbook Question Answering Challenge: Computer algorithms were given a data set of textual and graphic information from a middle-school science curriculum, and then were asked to answer more than 26,000 questions about the content.


How to Prepare the Next Generation for Jobs in the AI Economy

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People who create this type of technology must be able to build teams, work in teams, and integrate solutions created by other teams. The number of students taking Advanced Placement exams in computer science is growing dramatically, but the 58,000 students taking the AP Computer Science A (APCS-A) test last year still pales in comparison to the 308,000 who took the AP Calculus AB test. Few U.S. high schools now go beyond the core training necessary to prepare for the APCS-A exam, though we have a few stunning success stories -- Stuyvesant High School in New York City, Thomas Jefferson High School for Science and Technology in Alexandria, Virginia, and TAG (The School for the Talented and Gifted) in Dallas, among others. As with science and math, we need governmental standards driving K-12 computer science education, along with textbooks, courses and ultimately a highly trained national cadre of computer science teachers that are tied to those standards.


7 Steps to Mastering Machine Learning With Python

@machinelearnbot

Since we will be using scientific computing and machine learning packages at some point, I suggest that you install Anaconda. This actually is a reflection of the field of machine learning, since much of what data scientists do involves using machine learning algorithms to varying degrees. Gaining an intimate understanding of machine learning algorithms is beyond the scope of this article, and generally requires substantial amounts of time investment in a more academic setting, or via intense self-study at the very least. For example, when you come across an exercise implementing a regression model below, read the appropriate regression section of Ng's notes and/or view Mitchell's regression videos at that time.


Online program wins engineering education award

MIT News

The team was chosen for its design and development of a new four-course online professional certification program called Architecture and Systems Engineering: Models and Methods to Manage Complex Systems. Nine faculty members from MIT and more than 25 industry experts from Boeing, NASA, IBM, Apple, General Electric, General Motors, and other companies developed content for the courses. To earn a certificate, students must complete four courses: Architecture of Complex Systems; Models in Engineering; Model-Based Systems Engineering: Documentation and Analysis; and Quantitative Methods in Systems Engineering. ASEE, the award sponsor, created the Excellence in Engineering Education Collaboration Awards to demonstrate best practices in collaboration that enhance engineering education.


The politics of math: Is algebra necessary to obtain a college degree?

Los Angeles Times

To transfer to California State University, community college students generally must show evidence of completing an approved, quantitative reasoning course with "an explicit intermediate algebra prerequisite." In 2009, the California Community Colleges system raised its elementary algebra minimum and also began requiring demonstrated math competency at the level "typically known as Intermediate Algebra ... or another mathematics course at the same level, with the same rigor." Some schools, like Pierce College and College of the Canyons, have experimented with programs such as the Carnegie Foundation's Statway and those developed by the California Acceleration Project -- courses in statistics and data analysis designed for majors not in math or science as a way to reach college-level quantitative reasoning without getting stuck in non-credit remedial courses or completing a traditional intermediate algebra course. Cal State administrators have been open to exploring alternative pathways for some majors: As a pilot, the system has accepted some transfers who completed the Statway program, and a few campuses are currently piloting the statistics approach for their own remedial math students.


Machine passes EM gaokao /EM math test - China - Chinadaily.com.cn

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A smart machine made by a company in Chengdu, Sichuan province, took the math test of the national college entrance examination, or gaokao, on Wednesday. AI-MATHS is an artificial intelligence program developed in 2014, based on cutting-edge big data technology, artificial intelligence and natural language recognition from Tsinghua University. Before Wednesday's test, the developer had the machine answer 12,000 math questions to improve its logical reasoning and computer algorithms. In February, AI-MATHS took a math test with Grade 3 students at Chengdu Shishi Tianfu High School and scored 93, slightly higher than the passing grade of 90.


How to Prepare the Next Generation for Jobs in the AI Economy

#artificialintelligence

People who create this type of technology must be able to build teams, work in teams, and integrate solutions created by other teams. The number of students taking Advanced Placement exams in computer science is growing dramatically, but the 58,000 students taking the AP Computer Science A (APCS-A) test last year still pales in comparison to the 308,000 who took the AP Calculus AB test. Few U.S. high schools now go beyond the core training necessary to prepare for the APCS-A exam, though we have a few stunning success stories -- Stuyvesant High School in New York City, Thomas Jefferson High School for Science and Technology in Alexandria, Virginia, and TAG (The School for the Talented and Gifted) in Dallas, among others. As with science and math, we need governmental standards driving K-12 computer science education, along with textbooks, courses and ultimately a highly trained national cadre of computer science teachers that are tied to those standards.