Every manufacturer wants to avoid unexpected downtime in the plant, and that starts with proactively monitoring machines to keep them up and running. For that reason, technology suppliers are offering up plenty of diagnostic applications designed for machine maintenance. But many of the offerings available are point solutions that are too narrow in focus, or they are too broad and collect too much of the wrong kind of data, which does not provide a way for technicians to pinpoint the root cause of a potential problem. Augury, a company based in Israel and the U.S., is changing the conversation around machine health by combining advanced sensor technology, artificial intelligence, and reliability expertise to provide accurate and actionable insights for an entire ecosystem of production line assets. According to Augury, every machine has a unique acoustic fingerprint.

LONDON--(BUSINESS WIRE)--The global artificial intelligence (AI) market in manufacturing industry is expected to post a CAGR of around 31% during the period 2019-2023, according to the latest market research report by Technavio. Manufacturing companies are moving toward the implementation of Industry 4.0 standard to intensify automation to achieve higher operational efficiencies. This is increasing the adoption of a greater number of connected devices and technologies such as big data, ML, and IoT, which is resulting in the generation of high volumes of data. This, in turn, is compelling manufacturing firms to adopt AI-based solutions to extract insights from the data to improve the management of operations. Hence, the integration of industrial IoT and big data is crucial in driving the growth of the market.

Pichai spoke on the same day he was scheduled to meet the EU's powerful competition regulator, Margrethe Vestager. She's also due to meet Microsoft President Brad Smith separately on Monday. Vestager has in previous years hit the Silicon Valley giant with multibillion-dollar fines for allegedly abusing its market dominance to choke off competition. After being reappointed for a second term last autumn with expanded powers over digital technology policies, Vestager has now set her sights on artificial intelligence, and is drawing up rules on its ethical use. Pichai's comments suggest the company may be hoping to head off a broad-based crackdown by the EU on the technology.

Alphabet's CEO has urged the US and EU to co-ordinate regulatory approaches on artificial intelligence (AI), calling their alignment "critical". In a rare public speech in Brussels on Monday at an event hosted by European economic think-tank Bruegel, Sundar Pichai, who is also CEO of Google, said "there is no question in my mind that artificial intelligence needs to be regulated", but that "we don't have to start from scratch" with entirely new rules in some cases. His comments come weeks before the EU is set to unveil its plans to legislate the technology, which could include new legally binding requirements for AI developers in "high-risk sectors", such as health care and transport, according to an early draft obtained by Bloomberg. The new rules could require companies to be transparent about how they build their systems. While in Brussels, Pichai was also due to meet Margrethe Vestager, the competition chief responsible for more than €8bn of antitrust fines levied against Google.

The next great period of growth in manufacturing productivity will be driven, at least in part, from advances in machine sensing, engineering, and machine learning, which will provide robots with the capability to collaborate closely with workers and overcome variability. The original introduction of industrial machines and the production of goods in factories resulted in a dramatic increase in worker productivity over the course of the industrial revolution. In contrast, in the last 40 years, inflation-adjusted worker productivity in the United States has declined slightly, from nearly 65% in 1970 to under 57% in 2017. Specifically, in the period after the Great Recession, worker productivity in the manufacturing sector has shown, relatively, very little growth (seen below), though there has been substantial growth in robotics in the logistics and supply sector. Interestingly, there has also been little growth in the rate of purchases of industrial robots in the United States in this same time frame, while there has been significant investments in robotics in the logistics and supply space as warehouses become increasingly automated.

Driver turnover has been above 90 percent for more than nine consecutive quarters and shows little sign of slowing down. What's more is that issues related to management and workplace policies and communication have caused 30 percent of drivers to leave their job. Keeping your drivers safe, recognizing them for doing the right thing, and offering a solid feedback loop are key to increasing driver engagement -- and retention. If the people who drive your products from one place to another do not feel like you have taken extra measures to keep them safe, then they will leave for jobs that do. Where does this leave you? The more drivers you lose, the more difficult it will become to transport your products.

BRUSSELS – The EU's proposal for a temporary ban on facial-recognition technology won backing from Alphabet Chief Executive Sundar Pichai on Monday but got a cool response from Microsoft President Brad Smith. While Pichai cited the possibility that the technology could be used for nefarious purposes as a reason for a moratorium, Smith said a ban was akin to using a meat cleaver instead of a scalpel to solve potential problems. "I think it is important that governments and regulations tackle it sooner rather than later and give a framework for it," Pichai told a conference in Brussels organized by think-tank Bruegel. "It can be immediate but maybe there's a waiting period before we really think about how it's being used," he said. "It's up to governments to chart the course" for the use of such technology.

Some tech CEOs run the show but don't really understand the nuts and bolts of the company's product. Riveiro is the CEO of Vilynx (pronounced "VEE-links"), a firm which uses artificial intelligence (AI) and machine learning to help media companies make video "smarter." To date, the Spanish company has received about $15 million in funding from European and North American venture capital and angel investors. Vilynx has offices in Barcelona, Palo Alto and New York City. This interview has been edited for brevity and clarity.

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Studying how people move to music is a powerful tool for researchers looking to understand how and why music affects us the way it does. Over the last few years, researchers at the Centre for Interdisciplinary Music Research at the University of Jyväskylä in Finland have used motion capture technology -- the same kind used in Hollywood -- to learn that your dance moves say a lot about you, such as how extroverted or neurotic you are, what mood you happen to be in, and even how much you empathize with other people. Recently, however, they discovered something that surprised them. "We actually weren't looking for this result, as we set out to study something completely different," explains Dr. Emily Carlson, the first author of the study. "Our original idea was to see if we could use machine learning to identify which genre of music our participants were dancing to, based on their movements."