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Machine learning and Doppler vibrometer monitor household appliances – Physics World

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A way of monitoring household appliances by using machine learning to analyse vibrations on a wall or ceiling has been developed by researchers in the US. Their system could be used to create centralized smart home systems without the need for individual sensors in each object. What is more, the technology could help track energy use, identify electrical faults and even remind people to empty the dishwasher. "Recognizing home activities can help computers better understand human behaviours and needs, with the hope of developing a better human-machine interface," says team member and information scientist Cheng Zhang of Cornell University. The system, dubbed VibroSense, comprises two core parts: a laser Doppler vibrometer and a deep learning model, which is a type of machine learning system.


Q&A with a Data Scientist

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I'm Vegard, and I currently work as the Lead Data Scientist in a software company called Axbit. In addition to that I also have a part-time position as an Associate Professor in machine learning at Molde university college. Today I am happy to answer a couple of questions related to data science, what data science is all about and how working within this field is like. Transcript: How did I become a data scientist? First of all, I think my background is probably a bit different compared to a lot of other data scientists.


Artificial Intelligence In IoT Market (COVID 19 Impact Analysis) Opportunities, Industry Analysis with Major Vendors- Arundo, C3 IoT, Thingstel, Microsoft, PTC, Uptake - News Typical – Trusted News Coverage

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A fresh report titled "Artificial Intelligence In IoT Market" conveying key insights and providing a competitive advantage to clients through a comprehensive report. The report contains 123 pages which highly exhibit on up-to-date market analysis scenario, upcoming as well as future opportunities, revenue growth, pricing and profitability. An exclusive data and facts offered in this report is collected by research and industry experts' team. Research Trades proclaims the addition of new analytical data which helps to make informed business decisions. It has been abridged with a exhaustive description of the global Artificial Intelligence In IoT Market including overview, Types, Segments, Applications and Features of the market.


Neural network for low-memory IoT devices

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A scientist from Russia has developed a new neural network architecture and tested its learning ability on the recognition of handwritten digits. The intelligence of the network was amplified by chaos, and the classification accuracy reached 96.3%. The network can be used in microcontrollers with a small amount of RAM and embedded in such household items as shoes or refrigerators, making them'smart.' The study was published in Electronics. Today, the search for new neural networks that can operate on microcontrollers with a small amount of random access memory (RAM) is of particular importance.


Smart farming: a revolution for traditional olive production on Crete

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Technology has come so far in the last century; from the chunky and in retrospect clunky early computers and communication equipment, to the sleek devices of today. Then there's Artificial Intelligence (AI) and the Internet Of Things (IOT) - that is, the interconnectivity of all our devices, fuelled by increasingly powerful systems. In Crete, olives are big business and an important part of the economy of Greece's largest and most populous island. There are 30 million olive trees on Crete, so the potential effects of smart farming are very far-reaching. The idea of using smart technology is to substantially cut any waste.


3 Advantages of Insurance Companies Adopting AI

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As the capabilities of artificial intelligence (AI) are growing, insurers are finding new ways to capitalize on this technology. Here are some of the most prominent advantages of Insurance companies adopting AI. IoT (internet of things) refers to the interconnection of physical objects via the internet. These devices--things--are embedded with software and sensors for the purpose of connecting and exchanging data with other systems and devices over the internet. The internet of things includes devices such as Google Home and Amazon Echo.


Singapore hopes artificial intelligence will help boost its tourism industry

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Ongoing border restrictions and lower consumer appetite for international flights have changed travel as an industry. The two entrepreneurs said they believe machine learning and AI will change travel as an experience. "The business models of traditional corporate travel management companies have not evolved for decades," Kirtane stated. "Existing tools have not kept pace with the modern business traveler, and are generally not affordable by smaller and mid-sized businesses." "Hotels used to feel more technologically advanced than our homes but as IoT (Internet of Things), AI and consumer tech companies take the lead, the tech gradient has reversed -- hotels now feel lower tech than our own homes," said Ling of Vouch.


Microsoft And Shell Announce New Partnership To Use Artificial Intelligence And Tech To Reduce Carbon Emissions

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Tackling carbon emissions is one of the biggest challenges faced by the world today. For big business, this means making a strategic and managed move towards increasing the use of renewable energy sources, as well as creating efficiencies across all aspects of their operations. It's a difficult task to manage alone, even for an enterprise on the scale of tech giant Microsoft or energy titan Shell. But working together creates new possibilities that go further than what it is likely they could accomplish individually. Beyond meeting their own zero-carbon commitments, there's the opportunity to help other companies within their vast ecosystems of customers and suppliers to meet their environmental and safety goals, too.


Intelligent IoT: Bringing the power of AI to the Internet of Things - ELE Times

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The IoT is getting smarter. Companies are incorporating artificial intelligence--in particular, machine learning--into their Internet of Things applications and seeing capabilities grow, including improving operational efficiency and helping avoid unplanned downtime. WITH a wave of investment, a raft of new products, and a rising tide of enterprise deployments, artificial intelligence is making a splash in the Internet of Things (IoT). Companies crafting an IoT strategy, evaluating a potential new IoT project, or seeking to get more value from an existing IoT deployment may want to explore a role for AI. Artificial intelligence is playing a growing role in IoT applications and deployments, a shift apparent in the behavior of companies operating in this area.


IoT-Enhanced Processors Increase Performance, AI, Security

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What's New: Today at the Intel Industrial Summit 2020, Intel announced new enhanced internet of things (IoT) capabilities. The 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series bring new artificial intelligence (AI), security, functional safety and real-time capabilities to edge customers. With a robust hardware and software portfolio, an unparalleled ecosystem and 15,000 customer deployments globally, Intel is providing robust solutions for the $65 billion edge silicon market opportunity by 2024. "By 2023, up to 70% of all enterprises will process data at the edge.1 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series processors represent our most significant step forward yet in enhancements for IoT, bringing features that address our customers' current needs, while setting the foundation for capabilities with advancements in AI and 5G." –John Healy, Intel vice president of the Internet of Things Group and general manager of Platform Management and Customer Engineering Why It's Important: Intel works closely with customers to build proofs of concept, optimize solutions and collect feedback along the way. Innovations delivered with 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series processors are a response to challenges felt across the IoT industry: edge complexity, total cost of ownership and a range of environmental conditions.