sensor


BEAD - Converting commercial properties into intelligent digital buildings saving energy, reducing emissions

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The BEAD sensor device analyzes and learns the daily use cycle, energy consumption, user behavior and occupancy changes in all kinds of buildings, and then provides feedback to its automation systems, connecting them to the real-time operation of the building in order to optimize marketing, operations, and energy efficiency. Energy consumption in buildings currently accounts for over 40% of all energy consumed in Europe and the US. This makes for the largest share of the total energy consumption, ahead of transport and industrial production. Europe alone wastes over EUR 43 billion worth of energy in commercial buildings annually. The reason for this is that traditional automation technologies operate on fixed schedules and standard assumptions of occupancy in commercial and residential buildings.


How IoT, AI, & Blockchain Empower Tomorrow's Autonomous Supply Chain

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The internet of things (IoT), artificial intelligence (AI), and blockchain are having a media moment, especially in the context of the supply chain. For instance, IDC predictsone-third of all manufacturing supply chains will be using analytics-driven cognitive capabilities – a version of AI – by the end of 2020; increasing cost efficiency by 10% and service performance by 5%. Each of these technologies has the potential to shift global supply chains. Taken together, they have the power to completely revolutionize the process via the first truly'autonomous' supply chain. To understand the combined impact, it's important to examine each.


5 Ways To Streamline The Supply Chain Using AI

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Industries are investing aggressively in artificial intelligence (AI) projects to drive efficiency for better business performance. International Data Corporation predicts that AI spending will achieve a compound annual growth rate (CAGR) of 46.2% from 2016 growing to become a $52.2 billion industry by 2021. AI can significantly improve business operations by leveraging the tremendous amount of data generated by sensors monitoring the production and movement of products using IoT. The end result is AIIOT, which is the merging of AI and IoT to manage inventory, logistics, and suppliers with a higher level of awareness and precision. The supply chain is one area that can benefit the most from streamlining since it has a direct influence on profitability and customer satisfaction.


The Internet Of Things (IOT) Will Be Massive In 2018: Here Are The 4 Predictions From IBM

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With the number of connected devices set to top 11 billion – and that's not including computers and phones – in 2018, Internet of Things will clearly continue to be a hot topic. I had the chance to speak to Bret Greenstein, VP of IBM's Watson IoT Consumer Business, who highlighted four key trends. Interestingly three of those trends were around convergence with other distinct yet highly correlated technologies. This underlines the principle that data is the fundamental ingredient of digital transformation. The technologies predicted to make big waves in the coming year – including IoT, artificial intelligence, blockchain and edge – are all methods of collecting, analyzing and storing information.


These 3 business functions will be the first to benefit from artificial intelligence

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Artificial intelligence is typically depicted as either the end of the world as we know it, with robots taking all of our jobs, or the ultimate solution to all of our problems. Either way It's ironic that such a complex technology provokes such a binary response, because as anyone who actually works with AI will tell you, the truth is both less dramatic yet more relevant to the here and now. So where and how will AI make its impact felt first? But according to Gartner, "2020 will be a pivotal year in AI-related employment dynamics, as artificial intelligence (AI) will become a positive job motivator.... AI will create 2.3 million jobs in 2020, while eliminating 1.8 million." "Unfortunately, most calamitous warnings of job losses confuse AI with automation," says Gartner analyst Svetlana Sicular.


Thought Leader Thursday: Use of Machine Learning in the Automotive Industry - Altair Innovation Intelligence

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Engineering design and operational decisions depend largely on engineers' understanding of applications. This includes assumptions made to simplify problems in order to solve them. However, these assumptions often times introduce errors compared to the actual behavior of an application. Increasing access to sensor or virtual data and computational resources, combined with democratization of advanced Machine Learning (ML) algorithms leads to greater use of ML. ML was first defined by computer scientist Arthur Samuel as "a field of study that gives computers the ability to learn without being explicitly programmed".


Thought Leader Thursday: Use of Machine Learning in the Automotive Industry - Altair Innovation Intelligence

#artificialintelligence

Engineering design and operational decisions depend largely on engineers' understanding of applications. This includes assumptions made to simplify problems in order to solve them. However, these assumptions often times introduce errors compared to the actual behavior of an application. Increasing access to sensor or virtual data and computational resources, combined with democratization of advanced Machine Learning (ML) algorithms leads to greater use of ML. This brings field data and engineering knowledge together allowing for an increased level of overall accuracy in decision-making and design performance improvement.


Starkey Offers Preview Video of Livio AI Hearing Aid - Hearing Review

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Starkey Hearing Technologies, Eden Prairie, Minn, has offered a teaser video of the company's Livio AI hearing aid, what it reports to be the world's first hearing aid with sensors and artificial intelligence. The official launch of Livio AI is on August 27. As reported in The Hearing Review, the company announced at its 2018 Innovations Expo that it would be bringing to market the world's first hearing aid with inertial sensors that can provide information for physical activity tracking. Along with physical fitness applications (like the Dash Pro tailored by Starkey), these sensors may also be used for balance management and the detection of falls--a massive $67.7 billion public health problem by 2020 which is currently responsible for an older adult being admitted to a US emergency room every 13 seconds. At the 2018 Innovations Expo, Starkey CTO and Executive VP of Engineering Achin Bhowmik--who had previously served as VP of Perceptual Computing at Intel--also spoke about how, in the future, artificial intelligence (AI) would be used in hearing aids for natural responses to voice commands, and eventually be able to provide advanced capabilities like real-time language translation.


Pentagon makes massive new AI push for tanks, ships, weapons, drones and networks

FOX News

The Pentagon is making a massive push to accelerate the application of artificial intelligence to ships, tanks, aircraft, drones, weapons and large networks as part of a sweeping strategy to more quickly harness and integrate the latest innovations. Many forms of AI are already well-underway with U.S. military combat systems, yet new technologies and applications are emerging so quickly that Deputy Secretary of Defense Patrick Shanahan has directed the immediate creation of a new Joint Artificial Intelligence Center. "The Deputy Secretary of Defense directed the DoD Chief Information Officer to standup the Joint Artificial Intelligence Center in order to enable teams across DoD to swiftly deliver new AI-enabled capabilities and effectively experiment with new operating concepts in support of DoD's military missions and business functions." DoD spokeswoman Heather Babb told Warrior Maven. Pentagon officials intend for the new effort to connect otherwise disparate AI developments across the services.


Beyond the Naked Eye: How Tech Is Revolutionizing Industrial Inspections

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Ask any technician who has ever scaled a massive wind turbine and they'll tell you: Manual inspections of industrial assets can be dangerous and imprecise. Today, companies are tapping advanced tech tools like autonomous robots and drones, as well as AI-powered predictive analytics, to make inspections not only safer but more accurate. Avitas Systems, launched in 2017 by GE Ventures, is one of the emerging pioneers who are upending traditional modes of industrial inspection. The Boston-based company combines autonomous robot and drone inspections, AI analytics and digital data warehousing in a single service. Not yet two years old, Avitas Systems already counts heavy hitters in the oil and gas, electric power and transportation industries among its client roster.