Focused Education


Machine Learning Skills Among Data Scientists

@machinelearnbot

This article was posted by Bob E. Hayes on Customer think. Bob, PhD is Chief Research Officer at Appuri.


8 ingenious innovations helping autistic children communicate

Mashable

For autistic children, everyday interactions can be hard to decode. Socializing is often stressful, and expressing needs and emotions can be a struggle.


Brain scans may help diagnose dyslexia

AITopics Original Links

About 10 percent of the U.S. population suffers from dyslexia, a condition that makes learning to read difficult. Dyslexia is usually diagnosed around second grade, but the results of a new study from MIT could help identify those children before they even begin reading, so they can be given extra help earlier.


Humanoid robot Nao gets emotion chip

AITopics Original Links

If you think robots are heartless piles of plastic and silicon, you're correct. But soccer-playing humanoid robot Nao has been evolving by developing "emotions" under a European project and is now being used in the U.S. in sessions to treat autistic children.


Human versus Machine Part 2: Learning skills

#artificialintelligence

Learning to speak a new language brings health benefits and in addition we could be predisposed to speak more than one language, new research suggests. In this spirit multilingualism has shown to have social, psychological and lifestyle advantages as well as direct health benefits like faster recovery from a stroke or delaying dementía. Something that could mean that to reach your brain's full potential and to "empower" it, multilingualism is a great practice. This is at the same time a practice that brings a lot of "headache" for artificial intelligence.



Developing Machine Learning Skills on the Job - DATAVERSITY

#artificialintelligence

Data continues to inhabit every facet of human existence and so the need for competent Data Scientists to help leverage the insights from that data will invariably increase for the foreseeable future. According to a past EMC Data Scientist Study and the 2015 Global IT Report, the amounts of data created by the year 2020 will be upwards to 44 times what they were in 2009. Data Scientists use Machine Learning (ML) skills to develop powerful algorithms to make sense of the avalanche of data. Thus, Data Scientists with superior Machine Learning skills will be the transformative heroes of the digital world.


How to raise a genius: lessons from a 45-year study of super-smart children

#artificialintelligence

On a summer day in 1968, professor Julian Stanley met a brilliant but bored 12-year-old named Joseph Bates. The Baltimore student was so far ahead of his classmates in mathematics that his parents had arranged for him to take a computer-science course at Johns Hopkins University, where Stanley taught.


How to Raise a Genius: Lessons from a 45-Year Study of Supersmart Children

#artificialintelligence

On a summer day in 1968, professor Julian Stanley met a brilliant but bored 12-year-old named Joseph Bates. The Baltimore student was so far ahead of his classmates in mathematics that his parents had arranged for him to take a computer-science course at Johns Hopkins University, where Stanley taught.


Redefining Career Readiness for an Uncertain Future

#artificialintelligence

Artificial intelligence and machine learning are ushering in the rise of smart machines that will be able to carry out many of the complex cognitive tasks that once seemed exclusive to middle class work in the knowledge economy. Already, doctors are using deeper learning to help diagnose illnesses, entry-level lawyers are finding themselves out-analyzed by machines that can harvest case history faster than any human, artificial intelligence is writing news stories and robots are staffing restaurants. This is just the beginning: one Oxford University study suggests that as many as 47% of current middle-class American jobs could get displaced or change significantly over the next two decades due to automation.