Singularity Pulse  
     
  Legal

AI to Help Spot Money Laundering Attempts

HSBC has plans to get into a partnership with AI software of Quantexa, a UK-based start-up, with an aim of spotting suspicious activities. Bank plans to integrate its own personal data on customers with publicly available data. As per Financial Conduct Authority, banks spend £5bn a year on combating financial crime in the UK alone. Vishal Marria, CEO of Quantexa, said: “It is about understanding the flows of money: we build that picture for every customer in real time.” HSBC has also partnered with Artificial Intelligence (AI) tech start-up, Ayasdi, to automate parts of its anti-money laundering investigations.

 
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AI to Appraise Houses for Insurance Companies and Decide Premiums

Cape Analytics, an analytics startup is going to provide the housing insurance company information regarding house's exterior square footage, roof type, roof condition, changes in a home etcetera. It is doing so by using algorithms to analyze aerial images. It will launch the program for over 70 million American homes. Data comes from sources like drone data and satellite imagery. It then feeds data into its machine learning algorithms to develop information about particular homes. This will help insurance companies cut their operational costs as instead of sending out an inspector, insurance companies can use Cape Analytics' API to get the information.

Finance  
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  Space Research

AI to Navigate Cities by Sight; Eliminates Need of Maps

DeepMind Technologies has developed an artificial intelligence solution that learns city streets by exploring them “on foot,” thus allowing the AI to navigate without a map. Researchers trained the neural network to understand first-person perspective images from Google Street View. AI was rewarded as it reached its destination once. Each time a destination was reached successfully, it reinforced the algorithm it used to navigate its environment. According to researchers, the AI “learns to cross entire cities in this way,” and it can apply the skills it learned to entirely new cities.

 
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New AI Powered Device to Transcribe Words in Your Head

MIT scientists have developed a computer system that can transcribe words that users say just in their heads. System consists of a wearable device and an associated computing system. Electrodes in the device pick up neuromuscular signals in the jaw and face that are triggered by internal verbalizations. Signals are then fed to a machine-learning system that has been trained to correlate particular signals with particular words. Device also includes a pair of bone-conduction headphones, which transmit vibrations to the inner ear. The device allows one to interact with computer devices without having to physically type into them.

Healthcare  
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  Technology

Artificial Intelligence in Oncology


IBM has developed an AI clinical decision support system, “Watson Health” which analyses data across many health sectors including cardiology, drug discovery, and diabetes. Watson for Oncology (WFO) focuses specially on rapid diagnosis and optimum treatment proposals for cancer patients. WFO pulls data from patients’ records, clinical guidelines, and studies as well as journals, books, and articles. Recommendations were scored, and feedback was put back into the system to improve the algorithm further. Recommendations made by WFO algorithm for breast cancer patients in India had an approval scoring of 93% of total cases.

 
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AI Experts Calls for A Boycott Of ‘Killer Robot’ Lab

KAIST, a university in South Korea, is in collaboration with “Hanwha Systems”, a leading arms company in deploying AI technologies to develop military weapons. Around 60 AI experts and scientists from almost 30 countries have signed an open letter calling for a boycott against KAIST. The company has opened a new facility called the “Research Center for the Convergence of National Defense and Artificial Intelligence”. Despots and terrorists who acquire these weapons could use them against innocent populations, removing any ethical constraints that regular fighters might face.

General 
 
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  General

AI Aiding Farmers in Managing Their Cattle

Connecterra, based out of Netherlands, has built “Ida”-The Intelligent Dairy Farmer’s Assistant, an AI powered solution that pings farmers on their phones with alerts containing information like when the cows are chewing the cud, when they’re feeling sick, or when they’re ready for insemination. It uses TensorFlow technology, made public by Google in 2015. It was first trained to comprehend cow behavior via thousands of hours of video and sensor inputs. It tracks cows’ tiniest movements through their collars and then graphs them. “Real-time Cattle Analytics” are then used by the AI to assess diet and movement and predict concerning health issues, such as lameness or udder infections.

 
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AI to Stop Mass Shootings Before They Start

Students at The University of Texas at Dallas are using artificial intelligence to develop an algorithm called “iNotify” that will instantly analyze security camera video to identify weapons and real threats. The solution recognizes weapons in real time and sends a notification to law enforcement, emergency responders and anyone who may be exposed to the threat. iNotify could be employed on school campuses and other public places to instantly alert police about real threats. Currently they are developing a smart phone app which will receive notifications from the algorithm.

Neuroscience
 
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  General

AI Helps in Predicting Likelihood of Life on Another Planet

Scientists from Plymouth University has claimed that AI can help in finding the possibility of life on other planets of the solar system. Another team from University of Toronto Scarborough has built an AI powered algorithm that analyzes the terrain of the moon with highest levels of accuracy reported till date. Experts used “Artificial Neural Networks” (ANN) to categorize planets into five groups based on their nature, traits close to today’s Earth, the old Earth, Saturn’s moon Titan, Venus or Mars, which are believed to be top potentially habitable bodies in the space.

 
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Machine Learning Software to Categorize Ramen by Shop

Scientist Kenji Doi used Google’s AutoML Vision to classify every menu item from a Tokyo based ramen shops. He gathered about 1,170 photos from 41 shops and fed the dataset of 48,000 ramen photos to the software. After training for almost 24 hours, AutoML model was able to predict the shop from which a particular ramen was bought from with 95% accuracy. Kenji claims that the model was able to identify specific ramen shops even from photos with the same bowl and table design but taken in a different restaurant. The model can distinguish between cuts of meat and the placement of the toppings.

Neuroscience
 
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