Curriculum


3 A.I. Predictions for 2018: Emotion, Data, Ethics Xconomy

#artificialintelligence

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.


Influence of machine learning in Engineering education

#artificialintelligence

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.


You Don't Need to Change Your Birth Control Method Due to the New Study on Cancer Risk

Slate

Second, this study only investigated the chances that birth control increases one's risk of breast cancer. But birth control does other things, too: The pill seems to lower the risk of endometrial and ovarian cancers, for example. If taking hormonal contraceptives comes with a slight uptick in breast cancer risk and a slight downtick in other cancer risks, that might be an even trade. And not for nothing, hormonal contraception also does a pretty spectacular job at lowering the risk of another major health problem for women: unplanned pregnancy. Medicine should not be assessed only by its rare side effects.


The first data science course with a job guarantee just got even better

@machinelearnbot

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.


Featured video: Learning lessons from teaching others

MIT News

Project-based learning opportunities come in all forms at MIT, as Melanie Chen discovered during her internship at Lincoln Laboratory this year. A computer science major, she served as a teaching assistant, curriculum developer, and mentor to high school students participating in Cog*Works, part of the Beaver Works Summer Institute. Now, finishing up her fall sophomore semester, Chen is finding plenty of opportunities to apply the lessons she has learned from her hands-on experience teaching others. "One of the greatest skills I've learned is effective communication," she notes. "Whether it's students, peers, colleagues, or mentors, I've learned what it takes to be able to create a trusting relationship, so that we can effectively work on a project of this scale together."


Artificial Intelligence in Law Schools: Busting the Silo

#artificialintelligence

As we further consider how to train future lawyers for the Algorithmic Society and develop the quality of thinking, listening, relating, collaborating, and learning that will define smartness in this new age, law schools must reach beyond their storied walls. In law, we must got beyond talking about algorithmic implications to actually help shape algorithmic performance. We need lawyers and programmers to work together to create a sound "machine learning corpus." There's potential for an entirely new subfield to emerge if given the right support. With many law school attached to major research universities, it's a great place to start this cross-pollination and interdisciplinary work.


AI-powered language learning promises to fast-track fluency

#artificialintelligence

A linguistics company is using AI to shorten the time it takes to learn a new language. It takes about 200 hours, using traditional methods, to gain basic proficiency in a new language. This AI-powered platform claims it can teach from beginner to fluency in just a few months – through once-daily 20 minute lessons. Learning a new language is hard. Some people seem to pick up new dialects with ease, but for the rest of us it's a trudge through rote memorization.


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#artificialintelligence

A linguistics company is using AI to shorten the time it takes to learn a new language. It takes about 200 hours, using traditional methods, to gain basic proficiency in a new language. This AI-powered platform claims it can teach from beginner to fluency in just a few months – through once-daily 20 minute lessons. Learning a new language is hard. Some people seem to pick up new dialects with ease, but for the rest of us it's a trudge through rote memorization.


Westminster Law School hosts successful event covering Artificial Intelligence growth in the UK

#artificialintelligence

This report sets out a series of strategic recommendations to the government, based on core pillars including data supply and exchange, skills and education and developing an artificial intelligence infrastructure in the UK, with a view to growing the country's AI sector, something which was also augmented by the recent Budget and government's Industrial Strategy White Paper this week. The professional panel included speakers such as Westminster Senior Lecturer and journalist Dr Mercedes Bunz, Westminster Business School Senior Lecturer Dr Steven Cranfield, and well known journalist and technology author Joanna Goodman, a Visiting Fellow at Westminster Law School's Centre on the Legal Profession. Speakers dissected the report and its implications for the future and were then questioned by the audience on the matter for nearly one and a half hours. Convener and Westminster Senior Lecturer in Law, as well as artificial intelligence, robotics and the law researcher, Dr Paresh Kathrani, who chaired the event, said: "2017 was undoubtedly an important year for artificial intelligence in the United Kingdom, not least with the House of Lords Select Committee on Artificial Intelligence's work on AI, this report and the recent Industrial Strategy White Paper. The University of Westminster and Westminster Law School will continue putting on LawTech and AI events in 2018 looking at these vital developments."


Computing Is the Secret Ingredient (well, not so secret)

Communications of the ACM

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.