focused education


Startup taps ARM computer vision for deep learning skills

#artificialintelligence

Dr Ilya Romanenko played a key role in R&D leadership for 12 years at image sensor designer Apical and after the company was acquired by ARM in 2016 he became R&D Director for ARM's computer vision team. He wants to combine Spectral Edge's proven Phusion image processing technology with a new approach based on Deep Learning for a new range of imaging technology for smartphones. "Spectral Edge is built on impressive fundamental technology, which sits at the intersection of the image processing and computer vision fields, meaning I can use my knowledge and expertise in both to move the company forward," said Romanenko. "It is already delivering significant benefits to companies in the broadcast market, and I am confident that working with the team we can bring this technology to life, particularly within products in the mobile sector, improving the user experience and bringing a new quality to existing products." His appointment follows that of new CEO Rhodri Thomas, who joined from SwiftKey/Microsoft in February 2017.


How to Survive a Robot Apocalypse: Just Close the Door

Wall Street Journal

In the meantime, if one of them goes berserk, here's a useful tactic: Shut the door behind you. One after another, robots in a government-sponsored contest were stumped by an unlocked door that blocked their path at an outdoor obstacle course. One bipedal machine managed to wrap a claw around the door handle and open it but was flummoxed by a breeze that kept blowing the door shut before it could pass through. Robots excel at many tasks, as long as they don't involve too much hand-eye coordination or common sense. Like some gifted children, they can perform impressive feats of mental arithmetic but are profoundly klutzy on the playground.


Machine learning skills are lacking, CIOs lament - Microservices Matters

@machinelearnbot

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.


Best Method to Learn Essential Machine Learning Skills Fast

@machinelearnbot

The best method to pick up essential machine learning skills fast is to practice building your skills with small easy to understand datasets. This technique helps you build your processes using interesting real-world data that are small enough for you to look at in excel or WEKA. In this article, you will learn of a high-quality database with plenty of datasets and some tips to help you focus your time on what matters to you! Following online tutorials will keep you trapped in a dependent mindset that will limit your growth because you're not learning HOW to solve any problem. Your learning how to apply a specific solution to a particular type of problem.


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

#artificialintelligence

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.


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.


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?

#artificialintelligence

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.