Focused Education


Meet the 13-year-old prodigy taking IBM and artificial intelligence by storm - Watson

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Read the full ABC article and watch the video interview to learn more about Tanmay and his work in the field of AI. The Australian Broadcasting Corporation (ABC) recently profiled 13-year-old Canadian tech prodigy Tanmay Bakshi who started using computers at age five, launched his first app at age nine, and has been working with IBM's AI and cognitive APIs for a couple of years now. Tanmay is in a different league from the average pre-teen. In 2013, at age nine, he built "tTables," an app to help kids learn multiplication which Apple's App Store accepted after rejecting it three times. An incredible achievement for a child who loves to code but is largely self-taught.


Manipulating Word Representations, and Preparing Students for Coding Jobs?

Communications of the ACM

The network, through iterated adjustment of the elements of the vector based on errors detected on comparison with the text corpora, produces the values in continuous space that best reflect the contextual data given. Most dictionaries will offer a direct or indirect connection through "king" to "ruler" or "sovereign" and "male" and through "queen" to "ruler" or "sovereign" and "female," as: These definitions2 show gender can be "factored out," and in common usage the gender aspect of sovereigns is notable. As we understand the high degree of contextual dependency of word meanings in a language, any representation of word meaning to a significant degree will reflect context, where context is its interassociation with other words. The word vectors produced by the method of training on a huge natural text dataset, in which words are given distributed vector representations refined through associations present in the input context, reflect the cross-referential semantic compositionality of a dictionary.


A robot named Heliograf got hundreds of stories published last year

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The rise of artificial intelligence in journalism brings up many questions about the future of reporting. The dogged reporters, members of the vaunted Fourth Estate, the men and women who bring us the news stories we read every day? It's happening, and odds are that you've been reading stories created by artificial intelligence in local and world news already. Over the past year, the Post has published 850 stories from Heliograf, expanding its reach to include reporting on subject like congressional races and high-school football games.


Machine learning skills for software engineers

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Even the best researchers couldn't crack hard problems like image recognition in the real world. And an increasing number of developers are beginning to work on a variety of different, serious machine learning projects as they recognize that machine learning and even deep learning have become more accessible. Developers are beginning to fill roles as data engineers in a "data ops" style of work, where data-focused skills (data engineering, architect, data scientist) are combined with a devops approach to build things such as machine learning systems. Pretty much the most basic skill in building machine learning systems is the ability to look at the history of decisions that two models have made and determine which model is better for your situation.


Machine learning skills for software engineers

#artificialintelligence

Even the best researchers couldn't crack hard problems like image recognition in the real world. And an increasing number of developers are beginning to work on a variety of different, serious machine learning projects as they recognize that machine learning and even deep learning have become more accessible. Developers are beginning to fill roles as data engineers in a "data ops" style of work, where data-focused skills (data engineering, architect, data scientist) are combined with a devops approach to build things such as machine learning systems. Pretty much the most basic skill in building machine learning systems is the ability to look at the history of decisions that two models have made and determine which model is better for your situation.


How Are We Preparing Students for the Artificial Intelligence New Normal?

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As I gaze into the palantir afforded me as a co-host of "The EdTech Situation Room" each week with Jason Neiffer (@techsavvyteach), this is part of the future I see for our students, our society, and ourselves in the coming decades. This 98 second video, which I titled "EdTech Situation Room Promo Trailer," is the result of my thinking about this question tonight. This question of what an emerging "artificial intelligence first" rather than "mobile first" worldview (which Google announced at Google IO 2017) should mean for schools is something I discussed on The EdTech Situation Room back on May 17, 2017, with Jason Neiffer (@techsavvyteach) and Ben Wilkoff (@bhwilkoff). Check out the "Narrated Slideshow – Screencast" and "Digital Storytelling" pages of ShowWithMedia.com for additional resources and examples related to these media project types.


If you need someone to fly a drone, call a football manager

Los Angeles Times

Eric Sondheimer has been covering high school sports for the Los Angeles Times since 1997 and in Southern California since 1976. It's the hottest new toy in high school football: drones flying above practice fields filming practices. It's only a matter of time before someone has a drone football manager competition to see who can be the next F-16 pilot using remote control. At Loyola High, junior football manager Gabriel Danaj received a $1,500 drone from his grandmother as a gift and offered to use it to film Loyola practices.


Andrew Ng's Next Project Takes Aim at the Deep Learning Skills Gap

WIRED

Deeplearning.ai is home to a series of online courses Ng says will help spread the benefits of recent advances in machine learning far beyond big tech companies such as Google and Baidu. His prominence comes from work on deep learning at Stanford and Google's X Labs that helped prove machine learning could do transformational things for businesses. Now there aren't enough people with machine learning skills to go around. More than 100,000 people have started a deep learning course offered by Fast.ai, a startup focused on widening use of AI.


Solving The Machine Learning Skills Gap Articles Big Data

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Machine learning is, as you would likely imagine, extremely complicated, and not something your run-of-the mill computer engineer is going to be capable of without proper training. It requires someone with a background in computer science, likely with a doctorate in the sciences, as well as a significant amount of practical experience working with data at scale. Given that there is already a dearth of qualified data scientists, there is little to suggest that the situation is going to be any different when it comes to machine learning. Even The US Government has expressed concerns about the lack of AI talent.


Solving The Machine Learning Skills Gap 7wData

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Of these job postings, 61% in the AI industry were for machine learning engineers, 10% were for data scientists and just 3% were for software developers. According to a survey from Tech Pro Research, just 28% of companies have some experience with AI or machine learning, and more than 40% said their enterprise IT personnel don't have the skills required to implement and support AI and machine learning. Given that there is already a dearth of qualified data scientists, there is little to suggest that the situation is going to be any different when it comes to machine learning. Most companies undertaking machine learning projects already own and store vast quantities of data, but few enterprises have such copious quantities of data, and even then it is often siloed and requires aggregating, which is a lengthy and difficult process that few are resourced for.