Is South Korea Poised To Be A Leader In AI?

In particular, while China has been making waves with some of the most eyebrow-raising investments in AI, South Korea is becoming increasingly visible and bullish on its own investments in AI as well. What makes China a contender in AI, are some of the same reasons South Korea is heating up. China’s plan includes pushing for greater use of and heavy investment of AI in a number of areas such as the military and smart cities. South Korean government agencies and major tech companies have pledged similarly large-sized investments in their AI industry. South Korea another strong contender
South Korea has AI capabilities and ambitions of their own and is looking to strategically position themselves as a global contender. http://j.mp/2UTc8F2 #ArtificialIntelligence #AI #SouthKorea #China #Asia #RaceAndEthnicityInTheUnitedStatesCensus #MarketTrend #SmartCity #Park #GovernmentOfSouthKorea #DeepMind #AlphaGo #LeeSedol #Semiconductor #Electronics #IndustrialRobot #Samsung #LG #LGCorporation #Hyundai

AI, Humans and Collaboration in the Workplace

A recent article by Forbes Technology Council member Christian Pedersen argued that artificial intelligence will create new opportunities for data scientists, researchers, analysts, and other highly educated technical specialists even as the more easily-automated job functions of low skill workers “fall to the wayside.” The future of industry will not be one in which humans are replaced by AI, but rather one in which humans and AI work together. Like most AI applications, generative design relies on human input to set constraints and handle complex decision making. AI designed for simple tasks like image recognition can be trained on data alone, but AI assigned to more specialized tasks needs input from human experts. Post-doctoral researchers, data scientists, and other AI specialists may be brilliant people with diverse skill sets, but rarely do they have insight into the nuances of product design, the delicacies of customer service, or the subtleties of concierge hospitality. Read more: http://j.mp/2Aivw52 #ArtificialIntelligence #AI #Automation #ProductDesign #DataScience

A.I. could help predict when blood tests aren’t necessary

An algorithm that can predict whether a given blood test will come back “normal” could help cut needless medical tests, researchers report. Blood testing is a cornerstone of diagnostic medicine, but there’s an increasing recognition that too much blood testing—such as repeated tests—yields diminishing results. Simply put, the algorithm tells the doctor how likely it is that another test will produce a result that’s different than the first one. To train the algorithm, Chen and his team took de-identified patient data including vitals, medical conditions, symptoms, lab test results, and more, and used it to show how often a blood test reported something abnormal or unexpected, given a person’s medical characteristics. They started by training the algorithm on data from Stanford, testing its ability to predict results for patients at Stanford, the University of California, San Francisco, and the University of Michigan. Read more: http://j.mp/2AeLNb2 #ArtificialIntelligence #AI #Algorithm #BloodTest #Medicine #MedicalDiagnosis

AI Assisted Infant Eye Disease Screening: Early Detection is of Crucial Importance

Traditional eye disease detection for children mainly relies on hands-on work – the doctor attracts the child’s attention by moving their finger or a device, and then observes the child’s reaction to determine their condition. In the past five years, the Spanish startup DIVE Medical and the medical research institute IIS Aragon have been developing a new type of medical device called DIVE (Devices for an Integral Visual Examination), which can provide automatic, high-speed and accurate visual function testing even for non-cooperative patients such as children and even infants. Unlike the traditional method of having a doctor lead the child’s gaze with a finger or device, DIVE uses a computer screen, removing the element of human interference and outputting more precise visual stimulation. Children can watch the DIVE suit of tests designed for a fast and accurate assessment of the visual function on this tablet computer, and then the gaze data will be sent for analysis to a doctor’s Huawei P30, who can confirm whether there are any signs of latent vision damage. In order to help more children discover, treat, and recover from eye disease as early as possible, Huawei has provided IIS Aragon with free technical support and funding, including the provision of equipment like P30 phones and the MateBook E.WSPOS (World Society of Paediatric Ophthalmology and Strabismus) said on Twitter, Huawei has deployed its AI expertise with leading medical research bodies and DIVE Medical to help safeguard children’s eyesight. Read more: http://j.mp/2Q67N2A #AI #ArtificialIntelligence #EyeDisease #MachineLearning #VisualImpairment #Ophthalmology

6 soft skills IT leaders need in the AI age

“With the age of AI upon us, the switch back to human skills should be a critical focus for organizations.” “With the age of AI upon us, the switch back to human skills should be a critical focus for organizations,” says Jen Kelchner, co-founder of consultancy LDR21, which helps companies and individuals navigate change initiatives and develop more open organizational cultures. In fact, these types of competencies will become so important in the AI era that Kelchner suggests abandoning the term soft skills altogether and calling them core capabilities instead. IT leaders who want to build their learning agility muscles will seek out stretch goals and new experiences to learn from, take on complex problems and challenges, and continually practice incorporating those lessons into their day-to-day work and decision making. IT leaders who want to develop learning agility in their organizations will encourage their employees to take on new roles, work outside of their comfort zones, and celebrate mistakes and failures as learning opportunities. Read more: http://j.mp/30ekmJ4 #ArtificialIntelligence #AI #Empathy #DigitalTransformation #Stress #Cognition #EmergingTechnologies

AI in HR

Artificial intelligence is pushing humans and machines closer together. It’s exciting! AI’s influences are being felt across the HR space… being used to automate business processes, enhance efficiency, and reduce bias among other things. In fact, McKinsey’s latest forecast of AI’s impact on the global economy is that it will generate $13 trillion in economic activity across the globe by 2030. ead more: http://j.mp/2I3Tt4g #ArtificialIntelligence #AI #BestBuy #MachineLearning #DomainKnowledge

Why Are Robotics Companies Dying?

How could it be that these robotics firms, run and operated by some of the most celebrated people in the AI industry could be failing when seemingly less-compelling solutions such as process automation tools and facial recognition applications are raising billions of dollars? In the past few years, a staggering amount of venture capital has been raised by companies in the AI, machine learning, and cognitive technology spaces. According to a report by KPMG, over $12 Billion dollars in venture capital was raised in 2017 alone, more than doubling the previous year’s record tally of over $5 Billion. In 2018, a single company, SenseTime, raised over $1.2 Billion in venture capital, with a rumored additional $1 Billion coming from venture giant Softbank. So, how can it be in this industry awash with money, where anyone with a half-rational business plan spouting the terms AI and machine learning can raise ridiculous amounts with little market validation while the well runs dry for others run by industry veterans? http://j.mp/2UVgT0J #AI #ArtificialIntelligence #Robotics #VentureCapital #MachineLearning #BusinessProcessAutomation #FacialRecognitionSystem #Cognition #KPMG #KPMG #TechCrunch #SoftBankGroup #AwashRiver #BusinessPlan

Is South Korea Poised To Be A Leader In AI?

In particular, while China has been making waves with some of the most eyebrow-raising investments in AI, South Korea is becoming increasingly visible and bullish on its own investments in AI as well. What makes China a contender in AI, are some of the same reasons South Korea is heating up. China’s plan includes pushing for greater use of and heavy investment of AI in a number of areas such as the military and smart cities. South Korean government agencies and major tech companies have pledged similarly large-sized investments in their AI industry. South Korea another strong contender
South Korea has AI capabilities and ambitions of their own and is looking to strategically position themselves as a global contender. http://j.mp/2UTc8F2 #ArtificialIntelligence #AI #SouthKorea #China #Asia #RaceAndEthnicityInTheUnitedStatesCensus #MarketTrend #SmartCity #Park #GovernmentOfSouthKorea #DeepMind #AlphaGo #LeeSedol #Semiconductor #Electronics #IndustrialRobot #Samsung #LG #LGCorporation #Hyundai