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Water Management

AI System May Help Cities Detect Small Water Leaks

An AI bot developed by researchers and collaborators at the University of Waterloo uses sound signals to track down leaks in municipal water systems, which can cost municipalities a lot of time and manpower to fix. Currently the municipalities react to situations by sending workers out when there is flooding or to inspect a particular pipe if it’s due to be checked because of its age. On top of the economic costs of wasted water, leaks in municipal lines can also be a hazard to public health if unattended for months on end. The AI leak-sensing technology uses advanced sound processing techniques to highlight what ‘sounds’ like a leaking pipeline. Using machine learning, the bot tells these leaking sounds apart from the many other sources of noise in a piped distribution system. Researchers are currently doing field tests with the sensors, which have detected leaks as small as 17 litres per minute with a great deal of accuracy. A future objective for the group is also to help pinpoint exact locations of the leaks to help municipalities find, prioritise and plug leaks and bursts. Read More

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Art

Machine Learning Helps to Recreate Paintings

A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are using Artificial Intelligence (AI) to make some of the most convincing reproductions of art ever. New 3-D printing technology can accurately reproduce works of art with 10 layers of ink. RePaint uses a combination of 3-D printing and deep learning to authentically recreate favorite paintings — regardless of different lighting conditions or placement. RePaint could be used to remake artwork for a home, protect originals from wear and tear in museums, or even help companies create prints and postcards of historical pieces. To test RePaint, the team reproduced a number of oil paintings created by an artist collaborator. The team found that RePaint was more than four times more accurate than state-of-the-art physical models at creating the exact color shades for different artworks. Watch a video demonstrating the theory behind the MIT CSAIL project Read More

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Human Resource

AI Can Help Streamline the Employee Recruitment Process

There are many ways in which AI can help HR managers. AI can be tapped by HR managers from sorting job advertisements to using chatbots for automated replies, video interviews & assessments. AI can sort through hundreds of thousands of job adverts in any particular niche that recruiters are looking to recruit in and find out what sort of jobs already exist. Companies can use chatbots to help answer the frequently asked questions that applicants usually have, saving HR managers a significant amount of time. Some companies receive hundreds or even thousands of applications. Physically interviewing each of them is difficult. However, in order to get the best talent, it might be a good idea for HR managers to get candidates to submit videos of themselves explaining why they’re a good fit for the company and the role. These videos can then be analysed by AI-powered solutions to examine facial expressions, word choice, speech rate, and several other factors. AI can help create assessments to understand whether candidates applying for a particular role will be able to succeed in it, helping HR managers save time and money. Read More

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Traffic management

AI Based Smart Car Parking System

Finding a suitable place to leave your car sometimes takes as long as the commute itself. And with the population of cities continuing to expand, this problem will only get worse without a new approach to this major dilemma. The integration of smart parking with automated technologies holds the promise of helping to solve the transportation challenges facing today’s cities. DataArt, has worked extensively with several clients to both reduce inefficiencies and improve parking convenience through advanced technological solutions. With concepts such as utilizing machine learning algorithms to analyze the behavior and preferences of drivers, it becomes possible to provide a personalized service while reducing the waste of resources by more accurately predicting parking occupancy. Furthermore, by integrating the various components of the parking sector, the system has been able to develop solutions that offer a seamless interface to customers while retaining data security and improving its accuracy. Read More

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NLP

Google’s New Earbuds Can Translate 40 Languages Instantly in Your Ear

The Google Pixel Buds have remarkable ability to live translate 40 languages with just the touch of a button or speaking a prompting phrase, like “help me speak Spanish.” This functionality is only available when the headphones are paired with a Google Pixel 2 phone. The earphones are able to utilize Google’s AI-powered, voice-activated assistant, Google Assistant. Google’s Pixel Buds are capable of translating more than 40 different spoken languages in real time. Two people wearing Pixel Buds could speak to each other in entirely different languages, face to face, and yet understand each other even if they don’t understand a single word of another language Read More

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Miscellaneous

China Plans to Build a Deep-Sea Base Run Entirely by AI

According to a story published in the South China Morning Post, scientists from the Chinese Academy of Sciences plan to construct a research base deep in the South China Sea, and they want artificially intelligent robots to run it. The researchers will reportedly construct the base between 19,685 to 36,100 feet below the South China Sea’s surface. Robotic submarines will leave the base from these stations to conduct exploratory missions, surveying new areas and collecting data about marine lifeforms. They will also collect samples of minerals that the base will be capable of analyzing autonomously. The insights gleaned from this research could improve our understanding of climate change, lead to the discovery of new medicines, or help researchers identify endangered species. Read More

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“Quantum Computing, a revolution in technology, has shown great promise towards solving complex computing problems currently outside the capabilities of current computers. Though in its infancy, we at Decimal Point Analytics strongly believe that it is going to grow exponentially in the near future. It holds the potential not only to boost the AI revolution but also transform the way data is synthesized. The articles on Quantum computing will give an insight into the recent developments in this space.”

 
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Quantum Computing

Neural Network Paves the Way for Quantum AI

Italian researchers recently developed the first functioning quantum neural network by running a special algorithm on an actual quantum computer. The team, led by Francesco Tacchino of the University of Pavia in Italy, have pre-published their research. They developed a single-layer artificial neural network (ANN) that runs on a quantum computer. This kind of rudimentary ANN is called a perceptron, and it’s the basic building block of more robust neural networks. The researchers introduced an alternative design that closely mimics a Rosenblatt perceptron on a quantum computer. They experimentally showed the effectiveness of such an approach by practically implementing a 2 qubits version of the algorithm on the IBM quantum processor available for cloud quantum computing. The Italian team proved that by successfully running their perceptron algorithm on the IBM Q system and using the resultant neural network to conduct image classification tasks. Read More

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Quantum Computing

Australian Scientists Achieve Compact, Sensitive Qubit Readout

A group led by Professor Michelle Simmons, has overcome another critical technical hurdle for building a silicon-based quantum computer. Simmons’ team at UNSW Sydney has demonstrated a compact sensor for accessing information stored in the electrons of individual atoms — a breakthrough that brings us one step closer to scalable quantum computing in silicon. Quantum bits (or qubits) made from electrons hosted on single atoms in semiconductors is a promising platform for large-scale quantum computers, thanks to their long-lasting stability. Creating qubits by precisely positioning and encapsulating individual phosphorus atoms within a silicon chip is a unique approach that Simmons’ team has been leading globally. But adding in all the connections and gates required for scale-up of the phosphorus atom architecture was going to be a challenge — until now. Compared with other approaches for making a quantum computer, Professor Simmons’ system already had a relatively low gate density. Yet conventional measurement still required at least 4 gates per qubit: 1 to control it and 3 to read it. By integrating the read-out sensor into one of the control gates the team at UNSW has been able to drop this to just two gates: 1 for control and 1 for reading. Read More

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