This originally appeared on Quora. USA has been the leader in machine learning, and in tech hubs like Silicon Valley it seems like every company has data scientists employed. The trend has spread to the rest of the country, and there are no indications that any of this is slowing down. SoftBank Corp's human-like robot named "Pepper" gives a coffee cup to a TV personality Kyoko Uchida as they introduce Nestle's coffee machines during a promotion event at an electronics shop in Tokyo December 1, 2014. Nestle SA started to use robots to help sell its coffee makers at electronics stores across Japan, becoming the first corporate customer for the chatty, bug-eyed androids unveiled in June by tech conglomerate SoftBank Corp.

Wondering why chatbots are gaining popularity? Interested in how savvy businesses are using bots to improve communications with their customers? In this article, you'll discover insights from research that show how bots are evolving and affecting customer service experiences across many industries. Many companies in a variety of industries are learning firsthand how bot technology can change the way they provide customer service. This technology is being used to assist with personal online banking, booking travel accommodations, managing insurance claims, offering internal support, answering customer service requests, and even providing better mental health access.

In many manufacturing plants today, monitoring is a highly manual process. FOURDOTONE Teknoloji analyzes data from sensors to enable manufacturers to respond immediately to problems, and predict when machines are likely to fail. Downtime can be expensive, and in a tightly coupled manufacturing line a problem with one machine can have an impact on the entire factory. For many factories, avoiding downtime is a matter of luck rather than science: machine inspections are infrequent, and only capture what's visible to the eye. Data is gathered from the machines and analyzed in the factory, enabling an immediate response to emergencies or imminent problems.

The course combines elements of teaching, coaching and community. For this reason, the batch sizes are small and selective. I will be working with a small/selective group of people to actively transfer their career to AI through education and my network towards specific outcomes/goals. "Great course with many interactions, either group or one to one that helps in the learning. In addition, tailored curriculum to the need of each student and interaction with companies involved in this field makes it even more impactful. As for myself, it allowed me to go into topics of interests that help me in reshaping my career."

Apple has announced the creation of Daisy, a robot specifically designed to quickly disassemble several different iPhone models and recycle parts that can be used again, the company detailed in a Thursday press release. Daisy is actually a bit of a composite itself--the robot is made up of parts from another recycling robot, Liam, that was created in 2016, the release said. Daisy will be used first in the US and Europe and then expand worldwide. According to Apple's release, Daisy will be able take apart nearly 200 iPhones per hour, pushing the company closer to its goal of ending its reliance on mining for vital smartphone materials like cobalt. From every 100,000 iPhones Daisy disassembles, the release said, Apple will be able to harness about 1 kg of gold, 7.5kg of silver, almost two tons of aluminum, and 11kg worth of certain rare-earth elements and minerals like cobalt, palladium, tungsten, tantalum, and tin.

A startup company in California is using machine learning and artificial intelligence to advise fire departments about how to plan for earthquakes and respond to them. The company, One Concern, hopes its algorithms can take a lot of the guesswork out of the planning process for disaster response by making accurate predictions about earthquake damage. It's one of a handful of companies rolling out artificial intelligence and machine learning systems that could help predict and respond to floods, cyber-attacks and other large-scale disasters. Nicole Hu, One Concern's chief technology officer, says the key is to feed the computers three main categories of data. The first is data about homes and other buildings, such as what materials they're made of, when they were built and how likely they are to collapse when the ground starts shaking.

Suprema ID is taking the opportunity of next week's ID4Africa 2018 exhibition to launch new fingerprint scanner solutions featuring liveness detection based on machine learning technology. The RealScan-D is a dual finger enrollment scanner with FBI IAFIS Appendix F certification, while the RealScan-G1 is a FAP30 enrollment scanner boasting of IP54-rated water and dust resistance. Both devices are compact and portable, and both feature a wide platen facilitating the easy collection of detailed fingerprints. Most importantly, according to Suprema, both devices feature machine learning Live Finger Detection technology designed to identify synthetic materials used in spoofing such as clay, silicon, paper, film, and rubber. In a statement, Suprema CEO Bogun Park suggested that his firm's new technology meets a market trend, explaining, "We are experiencing increasing demand for anti-spoofing technology on our live scanning devices."

Every discussion about artificial intelligence seems to alternate between utopia and dystopia. Some believe that the productivity unleashed through automation will lift up all of society, creating a world of superabundance and more meaningful work, while others see robots taking our jobs and an acceleration of trends favoring capital over labor. In fact, in an article in Harvard Business Review, Accenture's Mark Knickrehm describes five distinct schools of thought, ranging from both extremes to various shades of gray in between. He suggests that leaders need to reinvent operating models, redefine jobs and include employees in the process of transformation. Yet that's easier said than done.

The proposed changes include permitting IPOs that restrict shareholders' voting rights, secondary listings by Chinese and international companies already listed elsewhere and primary listings by unprofitable biotech firms. The reforms are set to become effective April 30. The exchange will begin taking listing applications in early May, Mr. Li said. "This probably is the largest reform we've ever had in the last 25 years," he said, adding that it's "only a matter of time" before the likes of Alibaba and Xiaomi list in Hong Kong. Mr. Li is one of several speakers who are discussing some of the most compelling ideas emerging globally.

To understand today's headlines about China's approach to issues such as trade, foreign policy or internet censorship, turn to its past. The country is perhaps more aware of its own history than any other major society on earth. That remembering is certainly partial - events like Mao's Cultural Revolution are still very difficult to discuss within China itself. But it is striking how many echoes of the past can be found in its present. China remembers a time when it was forced to trade against its will.