Collaborating Authors


The future of maintenance for distributed fixed assets


Industries with distributed fixed assets--be they telecommunication broadband or railway networks, wind turbines or drilling facilities, elevators and escalators or washing machines--share specific challenges when it comes to maintenance. As the assets are distributed throughout a region, there is usually no dedicated maintenance team per asset. To the contrary, maintenance workers cover whole areas, travel to the assets' various locations, and bring the appropriate instructions, spare parts, and tools. Maintenance costs typically range between 20–60 percent of opex spend, depending on industry, asset type, and capex spend--an opportunity that has only been a minor priority over the past couple of years. At the same time, ensuring high levels of asset availability and system reliability is a key priority for operations leaders. Often, regulations severely penalize shortfalls (eg, of power transmission and distribution), breakdowns incur high revenue losses (eg, for wind turbines), or breakdowns result in high safety and environmental dangers (eg, in drilling facilities).

MTA Explores Use Of Artificial Intelligence To Measure Mask Compliance On Subways


New York City transit officials are exploring a controversial plan to use artificial intelligence software to track how many subway riders are wearing face masks, and where. The technology, which is currently being used in Paris, was among a host of ideas presented in a consultant's report released to the public on Monday that could help transit authorities measure the level of face mask compliance at specific subway stations. The list includes several high-tech tools like thermal-scanner temperature checks, which has been adopted in Canada and Singapore, as well as UV lamps and robots that China has deployed on buses to kill the viruses on surfaces. "We're exploring the feasibility of a wide range of tools and approaches for helping keep our employees and customers safe," said Andrei Berman, a spokesman for the MTA, in a statement. "AI is one of those tools and we'll continue to research whether it might be effective, and if so, how it might be deployed in an appropriate manner to continue ensuring best public health practices are followed for the safety of our customers and employees."

Quantum computing: A key ally for meeting business objectives

MIT Technology Review

In the business world, the opportunities for applying quantum technology relate to optimization: solving difficult business problems, reconfiguring complex processes, and understanding correlations between seemingly disparate data sets. The main purpose of quantum computing is to carry out computationally costly operations in a very short period of time, while at the same time accelerating business performance. Quantum computing can optimize business processes for any number of solutions, for example maximizing cost/benefit ratios or optimizing financial assets, operations and logistics, and workforce management--usually delivering immediate financial gains. Many businesses are already using (or planning to use) classic optimization algorithms. And with four international case studies, Reply has proven that a quantum approach can give better results than existing optimization techniques. Speed and computational power are key components when working with data.

Artificial Intelligence; Why Journalism Needs to be Human- Centric? The Policy Times


The outbreak of COVID- 19 has made jobless a lot of workers, now Artificial Intelligence has started taking over people's jobs. Several industries have already been affected in several sectors by the intrusion of artificial intelligence, and journalism turns out not to be an exception. Microsoft has recently fired dozens of journalists, who were responsible for arranging and editing news stories to be replaced with automatic systems. At a time when Indian news media companies are sacking employees due to COVID related economic downfall, the possibility of robots is now a major threat to our job security. Artificial Intelligence is still in its early stages, but it will be interesting to see how it will change the fourth pillar of democracy, in the era of web journalism and shouting debates on Prime Time TV news.

Thermal camera with face detection tech for fever screening procured in Kerala


The first Thermal and Optical Imaging camera with Artificial Intelligence-powered face detection technology for fever screening has been procured for the state capital by former Union Minister Shashi Tharoor. Following a discussion, his team had with district collector K Gopalakrishnan, Congress leader Tharoor said it was brought to his notice that a Thermal imaging camera with face detection technology was urgently needed in the district to scan from a safe distance and isolate those potentially having fever. Using his MPLADS fund, Tharoor, who represents, Thiruvananthapuram in the Lok Sabha, procured the equipment. Bahrain and Dubai before finally reaching Bengaluru, from where it was shipped to Kerala, Tharoor said in a Facebook Post. "The installation will be done at our Airport, Railway Station, MCH. Since all MPLADS funds have been exhausted, we are approaching other corporate groups to partner with us and the district administration to procure more of this highly sophisticated technological device prior to the huge influx of expatriates from the middle east and other areas overseas,"

How Artificial Intelligence Will Shape Design by 2050


Artificial intelligence is transforming how we design and build. By 2050, the effects of AI adoption will be widely felt across all aspects of our daily lives. As the world faces a number of urgent and complex challenges, from the climate crisis to housing, AI has the potential to make the difference between a dystopian future and a livable one. By looking ahead, we're taking stock of what's happening, and in turn, imagining how AI can shape our lives for the better. Artificial intelligence is broadly defined as the theory and development of computer systems to perform tasks that normally require human intelligence.

Xiaomi MI Kids Watch 4 Launches With Unisoc 8521E


Based on 8521E's AI powered eight-fold precision positioning system, high-accuracy positioning SDK and cloud platform, the watch brings in sub-meter positioning accuracy and also capable of providing indoor positioning services in more than 4,000 large shopping malls, high-speed rail stations and airports. With lightweighted operating system of 8521E and dedicated algorithms, the endurance of Xiaomi Mi Kids Watch 4 can last as long as eight days in standby mode. In addition, this new product has a 1.78-inch AMOLED full screen, and two 5-megapixels wide-angle cameras with AI support. Therefore, it allows children to capture images from their own unique perspective. As a learning watch, Xiaomi Mi Kids Watch 4 has multiple built-in selected learning applications and supports software which performs AI assessment on accuracy of English pronunciation and other learning software.

Robots And The Autonomous Supply Chain


Autonomous technology continues to make an impact on the supply chain. The autonomous supply chain, applies to moving goods without human intervention (to some degree at least) or aiding in achieving inventory accuracy. One of the more interesting examples is the Belgian brewery De Halve Maan, which in an effort to reduce congestion on the city streets, built a beer pipeline under the streets. The pipeline is capable of carrying 1,500 gallons of beer an hour at 12 mph to a bottling facility two miles away. Autonomous technology is seen in warehouses and stores, on highways and in mines, and in last mile deliveries.

AI, Machine Learning Enhance Track Inspection - Railway Age


Elmer is now in use on Sperry's entire North American non-stop track monitoring fleet, including ATS rail-road vehicles. Sperry Rail has been active in non-destructive testing for rail faults for more than 90 years. In a drive to deliver greater efficiency in track monitoring, the supplier has developed Artificial Intelligence (AI) and machine learning applications that it is now installing in regular service. As demand for track access grows, infrastructure managers from around the world face a daily battle to keep their railways operational during limited maintenance intervals. Predictive and preventative rather than interval-based maintenance is the Holy Grail for infrastructure managers.