In recent years, the smartphones, bots, and devices we spend so much of our time with could be accused of contributing to the desensitization of our society. When a fight breaks out, some teens' first reaction is to pull out their phones and take a video, rather than call for help. We can yell mean things at our Amazon Alexa device without any consequences. These are just a few examples. In 2018 and beyond, this will change.
Recent news on Sophia the robot getting citizenship in the Saudi Arabia has widely attracted daily news and social media. Despite the debates and agitations on a robot getting recognition as humans, experts view this event as a phenomenal milestone in the research of AI. The current level of Artificial Intelligence is achieved through years of research in Machine Learning, Deep Learning and other related fields. With a lot of hype and investments around, Deep Learning technology – a subdivision of Machine Learning is now successfully applied in our daily life from speech recognition apps in smartphones to YouTube recommendations. One of the pioneers of the Deep Learning, Andrew Ng feels that AI is the new form of electricity where every AI application in future electronic devices will be fuelled by Deep Learning models.
A leading provider of data science education, Springboard was just named one of the best data science bootcamps in the world by SwitchUp for the second year in a row! Springboard recently overhauled the course to give students an even better learning experience via their online, mentor-led curriculum. They took feedback from students, alumni, and mentors, and combined it with deep industry research to make their courses better--here's how: The curriculum now includes cutting edge teachings in deep learning and machine learning. Dig deep into artificial intelligence with new course modules, and learn one of today's most in-demand skills. They partnered with leaders at Datacamp--experts in teaching R and Python--to update the rest of the curriculum too.
Perhaps you remember the iconic theme of the globally popular Kung Fu Panda movies, "You are the secret ingredient!" This meant that self-belief is important and with it great things can be achieved--Po, for example, became the Dragon Warrior. My meaning here is that computer science is both a powerful enabler of rapid advances in all intellectual fields and a disruptor driving furious revolutions in commerce and society worldwide. Computer science is more important and potent than ever! Computing is driving unprecedented rapid change.
In an op-ed published today in The Boston Globe, MIT President L. Rafael Reif has urged those at the vanguard of the technology revolution to help lead the way in ensuring that automation in the workplace has a positive impact on society. "We must proactively and thoughtfully reinvent the future of work," he writes. In a recent Pew study, 72 percent of Americans reported feeling worried or very worried about a future where robots and computers can do many human jobs. However, Reif notes, past periods of technological and social upheaval have been smoothed by "deliberate, coordinated action," ultimately leading to overall job growth and other important gains. Ideas such as universal public education, the GI Bill, and the post-Sputnik focus on science education, he notes, were "broad, far-sighted investments in human development" that allowed the country to recover from disruptive technological and social change.
Like it or not, it appears that the continuing skills gap that continues to plague many sections of the software world, including development, testing and more, has found a new victim: digital transformation through the use of machine learning. A survey conducted by ServiceNow looked at the eagerness of organizations to incorporate machine learning as part of their digital transformation. Mainly, senior executives want to buy into machine learning in order to support faster and more accurate decision making. But the survey polled some interesting numbers that point to what appears to be a significant lack of machine learning skills needed to manage intelligent machines within organizations. The report shows that 72% of CIOs surveyed said they are leading their company's digitalization efforts, and just over half agree that machine learning plays a critical role in that.
Ritu Raman, a postdoc in the Langer Lab at MIT, has been honored as one of five recipients of the 2017 L'Oréal USA For Women in Science Fellowship. The L'Oréal USA For Women in Science Fellowship recognizes female scientists at a critical stage in their careers and supports them with $60,000 grants to advance their postdoctoral research. The announcement was made on Oct.10 in conjunction with Ada Lovelace Day -- an annual event aimed at raising the profile of women in STEM. The fellows were chosen based on their intellectual merit, research potential, scientific excellence, and their commitment to supporting women and girls in science. As part of the honor, the recently-selected fellows have the freedom to apply their grants to enhance their postdoctoral research in any way they see fit.
Antonia Novello was the first woman and first Hispanic to serve as U.S. surgeon general. Women-led breakthroughs in science, technology, engineering and mathematics have often been lost or overlooked. Getty Images has released a set of historical images, in honor of Ada Lovelace Day, to remind viewers that these women existed -- and should be a source of inspiration. Despite recent efforts to make sure girls and women have equal access to science education and job opportunities, they are still under-represented: women make up only 29% of the workforce in science, technology, engineering and mathematical occupations, according to the 2016 Science & Indicators Report by the National Science Board.
"With NEET our aim is to rethink engineering education -- what and how students learn -- in a fundamental way across the school," says Edward Crawley, the Ford Professor of Engineering in the Department of Aeronautics and Astronautics and faculty co-lead in the development of NEET. Living Machines is a cross-departmental NEET thread offered jointly by the departments of Biological Engineering, Mechanical Engineering, and Chemical Engineering. Alm is co-lead of the thread together with Linda Griffith, the School of Engineering Professor of Teaching Innovation, Biological Engineering, and Mechanical Engineering. The thread, which is led by Jonathan How, the Richard Cockburn Maclaurin Professor of Aeronautics and Astronautics, is offered jointly by the departments of Aeronautics and Astronautics, Mechanical Engineering, and Electrical Engineering and Computer Science.
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.