What Kind of New World Is Being Born? According to the Gospel of Luke, the Virgin Mary first learns that she'll soon give birth to Christ when she gets an unsolicited visit from an angel. Nice messenger service if you can get it. But before trusty Gabriel can dispense the good news upon which Christmas depends he has to calm the girl down. "Fear not," he says, and, in a way, this sombre reassurance is the Yuletide message in drastic miniature.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Imagine that somebody does your jobs and also with high speed… Sounds really well? We can tell you that is possible. You guess it right; it is IRPA (Intelligent Robotic Process Automation)! There is lots of repetitive works on different business lines as customer services, human resources, accounting, financial services, health assistance, supply chain management… RPA is useful for linked jobs for these sectors. Invoice sending to receivers with e-mail is an example for accounting business line.

Voodoo's factory in Brooklyn contains over 200 3-D printers. While budding entrepreneurs are full of ideas, they may not have the time or money to turn a clever design into a physical product. The process of creating and testing a single prototype can take months -- and then there's the matter of finding a factory to carry out large-scale production. The headache doesn't stop when the first boxes of a company's finished product finally arrive on its doorstep. Next it's time to worry about whether there's too much inventory, which will be difficult to shift, or too little to meet demand.

Computer algorithms can interpret echocardiographic images and distinguish between two similar heart conditions affecting young athletes, according to research published in the Journal of the American College of Cardiology. Researchers from the Icahn School of Medicine at Mount Sinai tested three different machine-learning algorithms for their effectiveness in the discrimination of physiological versus pathological hypertrophic cardiomyopathy. Pathological hypertrophic cardiomyopathy (HCM), in which a portion of the myocardium enlarges, leading to impaired heart function, is the leading cause of sudden death in young athletes. Distinguishing between it and physiological hypertrophy (heart enlargement often due to exercise) generally requires testing for the two conditions with interpretation by a highly trained cardiologist, according to an announcement. "This demonstrates how machine-learning models and other smart interpretation systems could help to efficiently analyze and process large volumes of cardiac ultrasound data, and with the growth of telemedicine, it could enable cardiac diagnoses even in the most resource-burdened areas," said study author Joel Dudley, Ph.D.