Kustomer, the SaaS platform that is reimagining enterprise customer service, today introduced KustomerIQ, embedding Artificial Intelligence and Machine Learning across the Kustomer platform to enhance the customer service experience of companies competing in today's on-demand world. KustomerIQ uniquely integrates Machine Learning models and other advanced AI capabilities with the Kustomer platform's powerful data, workflow, and rules engines to enable companies to provide smarter, automated customer experiences that are more personalized, efficient, and effortless. The Kustomer platform stands out among customer service solutions for the comprehensiveness of available customer data and its business process automation that is driven by branchable, multi-step workflows and custom business logic. "In today's crowded market, excellent customer service is often the differentiator that builds loyalty and trust between one brand to another," said Brad Birnbaum, Co-Founder and CEO of Kustomer. "With KustomerIQ and the inclusion of Artificial Intelligence and Machine Learning into our omnichannel platform, Kustomer will now go even further in helping brands automate their business processes, while making it easier for their agents to take action on customer information, ultimately developing a stronger and more profitable customer relationship."

As more companies realize the great need for data scientists to develop, experiment, and deploy artificial intelligence (AI), IBM designed a certification program. It offered it to the company workforce, and incentivized employees completed the program through coursework, skills training, and apprenticeships. IBM's certification and related programs "will speed the journey to AI and help improve business performance, efficiency and growth," said Martin Fleming, IBM vice president and chief economist. The demand for data scientists is recognized in the tech industry which "actually identifies the demand for data scientists as one of the industry's most pressing needs." Fleming cites social-media career platform LinkedIn's 2018 report, which found 151,000 US data scientist positions unfilled. "More companies are looking inward for ways to build the skills among their existing workforces," he said.

Next Caller is searching for a data scientist with a contagious enthusiasm for data, a passion for exploratory problem solving, and a fascination with designing cutting-edge machine learning algorithms from scratch. As the Principal Data Scientist, you can expect to play an essential role in creating innovation and excellence in Next Caller's Machine Learning-driven VeriCall platform for real-time call authentication and fraud prevention. In this role, you will be a core part of the Engineering Team, where you can expect trust, respect, collaboration, and humor as you engage in creative exploration within the department that is the lifeblood of our organization. We are seeking someone who is excited by the challenge of staying several steps ahead of fraudsters, and relishes the opportunity to tackle and solve problems that others think are just too difficult. The Principal Data Scientist reports directly to the Vice President of Engineering, and has the opportunity to coach, mentor, and work alongside two talented Data Analysts while working in parallel with the R&D Team.

Industrial revolutions are central to the desire for technology to make human life easier. Although we can summarize the journey from Industry 1.0 to 4.0 in a paragraph, human beings have been trying to make life easier for centuries. What did this desire create? At what point of the industrial revolution are we now? Is your business ready for this revolution?

A paralysed man has been able to walk again using an exoskeleton suit he controls with his mind. Although it doesn't yet let him walk independently – the suit is suspended from an overhead harness to stop him from falling – the advance represents the first steps down the road to this goal. "This is really groundbreaking," says Ravi Vaidyanathan of Imperial College London, who wasn't involved in the work. The implanted brain sensors also let the man, who broke his neck in a fall four years ago, move the arms and hands of the exoskeleton. Several groups are working on ways to let people with spinal cord injuries regain control over their bodies by reading their thoughts.

Google has been seeking facial scans of people with'darker skin' as part of its efforts to improve the company's facial scan software. The company has sent out teams of temp workers, hired through the staffing agency Randstad, to scan people's faces in exchange for $5 gift cards. Workers for the program said they were directed to target homeless people and college students. Facial recognition software has been notoriously unreliable for people with dark skin, something Google wanted to improve for the upcoming launch of the Pixel 4 (pictured above). The workers were encouraged to conceal the fact that they were collecting facial data and instead asked if people would be interested in playing a'selfie game' using specially equipped smart phones.

Cutting-edge body recognition software which identifies people based on their physical shape and even clothes is set to be rolled out next year. Everyday facial recognition technology has been refined to the extent that cameras can match an image in a database to someone's height, width, hair and apparel. This will allow an individual to be identified even if their face is obscured - by a balaclava, for example. Or they will still be able to be spotted if part of their body is hidden by another person or an object. Technology titan NEC Global is pioneering the body recognition software and hopes to apply it to busy security-controlled sites such as sports stadiums and airports.

When Paul Kay, then an anthropology graduate student at Harvard University, arrived in Tahiti in 1959 to study island life, he expected to have a hard time learning the local words for colors. His field had long espoused a theory called linguistic relativity, which held that language shapes perception. Color was the "parade example," Kay says. His professors and textbooks taught that people could only recognize a color as categorically distinct from others if they had a word for it. If you knew only three color words, a rainbow would have only three stripes.

One of the biggest urban legends growing up in New York City were rumors about alligators living in the sewers. This myth even inspired a popular children's book called "The Great Escape: Or, The Sewer Story," with illustrations of reptiles crawling out of apartment toilets. To this day, city dwellers anxiously look at manholes wondering what lurks below. This curiosity was shared last month by the US Defense Department with its appeal for access to commercial underground complexes. The US military's research arm, DARPA, launched the Subterranean (or SubT) Challenge in 2017 with the expressed goal of developing systems that enhance "situational awareness capabilities" for underground missions.

What would it take to transform a flat sheet into a human face? How would the sheet need to grow and shrink to form eyes that are concave into the face and a convex nose and chin that protrude? How to encode and release complex curves in shape-shifting structures is at the center of research led by the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and Harvard's Wyss Institute of Biologically Inspired Engineering. Over the past decade, theorists and experimentalists have found inspiration in nature as they have sought to unravel the physics, build mathematical frameworks, and develop materials and 3D and 4D-printing techniques for structures that can change shape in response to external stimuli. However, complex multi-scale curvature has remained out of reach.