Eric Sondheimer has been covering high school sports for the Los Angeles Times since 1997 and in Southern California since 1976. The Southern Section Division 1 track and field preliminary meet at Trubuco Hills High School on Saturday featured a water balloon attack from a lone drone. Near the start of the meet, around 11:30 a.m., a group of people positioned themselves on the hill above the track and allegedly flew a drone carrying water balloons over the track. Ayres sent out his kids to find the group of people commanding the drone on Friday evening and CIF officials supposedly notified the Orange County Sheriff's Department about the incident Saturday morning.
Data scientists have a variety of different skills that they bring to bear on Big Data projects. While machine learning is a hot skill to possess, a recent study by Evans Data Corp. found that about a third of developers (36%) who are working on Big Data projects employ elements of machine learning. In today's post, I wanted to explore how machine learning skill proficiency varied across different types of data professionals. Specifically, we asked them to indicate their level of proficiency across 25 different data skills (including machine learning), satisfaction with work outcomes of analytics projects and their job role.
The study, done with researchers at Boston Children's Hospital, found a correlation between poor pre-reading skills in kindergartners and the size of a brain structure that connects two language-processing areas. Previous studies have shown that in adults with poor reading skills, this structure, known as the arcuate fasciculus, is smaller and less organized than in adults who read normally. When comparing the brain scans and the results of several different types of pre-reading tests, the researchers found a correlation between the size and organization of the arcuate fasciculus and performance on tests of phonological awareness -- the ability to identify and manipulate the sounds of language. The researchers plan to follow three waves of children as they progress to second grade and evaluate whether the brain measures they have identified predict poor reading skills.
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. It's no surprise that the researchers have also been experimenting with Aibo, including the cyberpup and Nao in a "robot nursery" designed to incubate emotional behaviors. The Feelix Growing project concluded in May, involving eight universities and robotics firms including Aldebaran. "Children with autism spectrum disorder typically feel more comfortable with robots than with other people initially, because robot interactions are simpler and more predictable and the children are in control of the social interaction," CHIP researcher Anjana Bhat was quoted as saying in a release.
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. Where AI calculating, a human is imaging. However, the test is still very hard for a human because of its arbitrariness, but impossible for a calculating machine.
Data Scientists use Machine Learning (ML) skills to develop powerful algorithms to make sense of the avalanche of data. Moreover, when some of these Data Scientists plan on specializing in Machine Learning science or engineering, they struggle even further to adapt and hone their generic knowledge into the more specialized areas of ML. On the other hand, a bright computer scientist or engineer with some exposure to Machine Learning can surely hope to pursue a career in ML Engineering. The ML competition sites provide an excellent opportunity to bright Data Scientists to describe, present, and solve a particular problem through ML techniques.
"What Julian wanted to know was, how do you find the kids with the highest potential for excellence in what we now call STEM, and how do you boost the chance that they'll reach that potential," says Camilla Benbow, a protégé of Stanley's who is now dean of education and human development at Vanderbilt University in Nashville, Tennessee. Many of the innovators who are advancing science, technology and culture are those whose unique cognitive abilities were identified and supported in their early years through enrichment programmes such as Johns Hopkins University's Center for Talented Youth -- which Stanley began in the 1980s as an adjunct to SMPY. "Setting out to raise a genius is the last thing we'd advise any parent to do," says Camilla Benbow, dean of education and human development at Vanderbilt University in Nashville, Tennessee. But after the first follow-up survey, five years later, Benbow proposed extending the study to track subjects through their lives, adding cohorts and including assessments of interests, preferences, and occupational and other life accomplishments.
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.
It is nearly impossible to meet all students' needs in a classroom with 22 plus students who have specific individual requirements. In any given classroom a teacher will encounter students with dyslexia, autism, ADHD, dyspraxia, auditory learners, visual learners, English as a Second Language learners, and the list goes on. Artificial Intelligence has the capability to personalize for each students' learning style which will result in students reaching their full potential. Artificial Intelligence will have the capabilities of delivering the information and knowledge to each student to fit their learning style.