Singularity Pulse  
     
  Finance

Visa to Offer A Personalized Experience to Customers Through AI

Visa Canada has entered into a strategic collaboration with Finn AI to make their AI powered chatbots more advanced. This collaboration will be focused on improving personalized experience for its customers who are travelling. The algorithm will be programmed to ensure that customers’ card value is optimized during their travel. Foreign exchange rates, airport communications, hotel room preferences and similar such services will be available to customers via chatbot. A customer could even disable a misplaced card to ensure protection against fraudulent transactions through a simple, natural conversation.

 
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Leveraging AI to Gauge Demand for Socially Responsible Investments

While socially responsible investments (SRI) are becoming more mainstream, gathering reliable company data on ESG is still a challenge. A UK-based investment management firm Arabesque Asset Management Ltd has developed an AI program called “S-Ray” which actively tracks and analyzes data. It then gives out rating on ESG and United Nations Global Compact (GC) scores for each company. Indicators like human rights, labour issues, anti-corruption policies, environment and transparency of governance are considered while calculating scores. A free version of the software is made available by the company giving scores for 7000+ companies.

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  Information Technology

IBM’s AI Robot Wins Debate Competition Against Human Competitor

Decided by the audience vote, IBM's AI technology defeated a champion human debater at an event held in San Francisco. It performed without an internet connection with no prior information on the subject of debate. Unofficially named as “Project Debater”, it is designed to sift useful, accurate and precise information. It will help people develop informed arguments. Currently in initial stages, the algorithm is prone to repeating itself using different set of words, but developers are confident of overcoming it.

 
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Controlling of Robots Possible with Brainwaves and Hand Gesturing

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed technology to control robots with brainwaves and hand gestures alone. User’s brain activities are monitored to detect in real time if they observe errors in the task done by robots. The system reads electroencephalography (EEG) for brain activity and electromyography (EMG) for muscle activity in order to detect a mistake and then correct it. It was demonstrated on Baxter collaborative robot to drill one of three possible targets. With human supervision, choosing correct target efficiency went from 70% to 97%.

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  Pharmaceuticals

AI Enabled ML Algorithms to Assist Companies in Drug Search

A lion’s share of research fund goes into clinical phase trials and regulatory approvals. Consequently, companies struggle to fund drug searches. Now Pfizer, a leading biopharmaceutical companies, has tied up with IBM Watson to use ML in its search for immuno-oncology drugs. Similarly, Sanofi made an agreement with Exscientia, UK based AI start-up. Researchers aim to deploy a concept knows as “general AI” which could develop skills like thinking, reasoning and ability to sense just like humans do. With AI to replace conventional testing, industry experts expect increased efficiency and cost benefits to occur.

 
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New AI Methods to Increase Power of Artificial Neural Networks

Team of scientists from Eindhoven University of Technology, University of Texas at Austin, and University of Derby has developed a method that accelerates AI training algorithm. Artificial Neural Network (ANN) is crucial to AI technology, but hasn’t been able to solve complex problems. It would take 12+ days for a desktop to train approximately 100000 neuron networks. The proposed Sparse Evolutionary Training method is inspired from biological networks and neural networks. The high efficiency is attributed to three features: networks with fewer connections, fewer hubs and shorter paths.

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  Health Care

AI to Detect Cardiac Arrest Based on Call for Emergency Services

Corti SA, has created an AI software that uses ML to analyze words a caller uses while talking to emergency service lines. Additionally, it also analyses tone of voice, and background noises on the phone line. Based on these information, it raises an alert for cardiac arrest, in case. The software correctly detected cardiac arrests in 93% of cases as against 73% cases detected by human call responders. It took an average of mere 48 seconds to raise its alert. False positives for both, AI software and human responders were at 2%.

 
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An AI Algorithm to Keep Construction Work Sites Accident Free

Suffolk, a Boston-based contractor, is programming an algorithm which will analyze photos from job sites, scans them for safety hazards and calculate correlation between images with accident records. The algorithm will calculate “risk ratings” for projects. It will also read data from sources like 10 years scheduling data and project delays to make its own forecasts about project timelines. Additionally, they are aiming to utilize data from IoT sensors to increase their efficiency.

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  Health Care

Google AI To Calculate Odds of Surviving During Hospital Stay

Google has released a new paper in the journal npj Digital Medicine, where they talk about the new AI program which can predict when a hospital patient will die with as high as 95% accuracy. The algorithm is based on image recognition software. It was trained on multiple factors available on patients’ health records before making the predictions. Based on these data, it makes predictions on likelihood of patient dying in the hospital. In the trial run, the algorithm predicted patient mortality with 95% accuracy.

 
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Nvidia Uses AI to Create Slo-Mo Videos by Self-Creating Extra Frames

Nvidia researchers has been using deep learning technology to convert 30 frames-per-second videos into a 240 frames-per-second slow-motion one. It uses AI algorithm to imagine the in-between extra frames. Initially, the algorithm looks at two different frames and then creates the intermediate footage by tracking the movement of objects from one frame to another. The deep learning system needs to be trained on a particular type of footage before it can create frames on its own. Also, the number of frames that can be created is limited to seven for now.

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Quantum Computing a revolution in technology which shows great promise for solutions to complex computing problems currently outside the capabilities of current computers. Though in it’s 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

Carbon Nanotube Optics to Provide Optical-Based Quantum Cryptography

Researchers at Los Alamos are exploring potentials of carbon nanotubes as single-photon emitters for quantum information processing. The research is focused on light emitting properties of nanotubes and its integration with photonic cavities. Additionally, integration of nanotubes into electroluminescent devices can provide greater control over timing of light emission. Another key focus area is the analysis of nanotube defects for pushing quantum emission to room temperature and telecom wavelengths.

 
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Volkswagen To Use Quantum Computing for Car-Battery Recharging

NVolkswagen is using quantum computing technology to charge its batteries. They have successfully completed simulation of lithium-hydrogen molecules and carbon chains using a quantum computer. This is a significant development for batteries in high-performance electric vehicles. The next objective is to simulate chemical structure of an electric vehicle battery on quantum computer to develop a “tailor-made battery”. The company is targeting to combine core task with technologies like IoT, AI and quantum computing.

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  Quantum Computing

Microsoft’s Quantum Helps in Advancing MRI Research

Case Western Reserve University and Microsoft’s Quantum team have developed quantum-inspired algorithms to improve their approach to detecting cancerous tumors. To increase accuracy of MRI, the team used “magnetic resonance fingerprinting” technique. Conventional MRI machines use series of fixed acquisitions to establish a diagnosis, magnetic resonance fingerprinting uses a constantly varying sequence of pulses which gives a single unified exam. Final quantitative maps are generated by comparing the response against a lookup table. This provides a more rapid and repeatable characterization of tissues.

 
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IBM Positive on Quantum Computing Making AI Faster

Dario Gil of IBM is confident that quantum computing will bring significant advantage to the AI technology. Unlike with traditional computers which store information in for of numbers 0 and 1, called bits, quantum computers use “qubits” to store data. Qubits can exist in multiple states of 0 and 1, a process termed as “superposition”. Qubits can influence each other even if they are not physically connected. This process is called “entanglement”. Adding qubits to a computer increases its computing speed exponentially.

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