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Infer Genetic Disease From Your Face - DeepGestalt can accurately identify some rare genetic disorders using a photograph of a patient's face. This could lead to payers and employers potentially analyzing facial images and discriminating against individuals who have pre-existing conditions or developing medical complications.


AI Weekly: Amazon went wide with Alexa; now it's going deep

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Amazon's naked ambition to become part of everyone's daily lives was on full display this week at its annual hardware event. It announced a slew of new Alexa-powered devices, including a home surveillance drone, a suite of Ring-branded car alarm systems, and miscellany like an adorable little kids' Echo device. But it's clear Amazon's strategy has shifted, even if only for a product cycle, from going wide to going deep. Last year, Amazon baked its virtual assistant into any household device that could accommodate a chip. Its list of new widgets with Alexa seemed a mile long and included a menagerie of home goods, like lamps and microwaves.


U.S. Police Already Using 'Spot' Robot From Boston Dynamics in the Real World

#artificialintelligence

Massachusetts State Police (MSP) has been quietly testing ways to use the four-legged Boston Dynamics robot known as Spot, according to new documents obtained by the American Civil Liberties Union of Massachusetts. And while Spot isn't equipped with a weapon just yet, the documents provide a terrifying peek at our RoboCop future. This browser does not support the video element. The Spot robot, which was officially made available for lease to businesses last month, has been in use by MSP since at least April 2019 and has engaged in at least two police "incidents," though it's not clear what those incidents may have been. It's also not clear whether the robots were being operated by a human controller or how much autonomous action the robots are allowed.


The Role of AI in Tackling Financial Crime

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It enables financial institutions to simplify identifying illicit client relationships, beneficiaries, and links to criminal or terrorist activity during the onboarding phase. FREMONT, CA: Financial regulations globally are cracking down on banks. As Anti Money Laundering and know your customer (KYC) procedures are getting stricter, hefty fines are being imposed on those found to be in breach of the same. Recent studies have discovered that banks across the globe have been charged with a total of USD 26 billion in monetary penalties in Anti Money Laundering (AML) and sanctions violations over the last ten years. As banks and financial institutions continue to search for digital transformation initiatives to streamline and simplify the customer onboarding process and reduce the risk associated with fraud, many are looking to exploit emerging technologies' potential.


Driving Business Results with Artificial Intelligence Services

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Companies that incorporate Artificial Intelligence solutions in their core values reap the benefits of the technical progress and the informational revolution as we are all standing at the dawn of a new era of virtual transformation and automation. AI is indispensable in dynamic environments, requiring you to work with data on a large scale. It makes data processing faster and more efficient, as it's specifically designed to work in a data-intense environment and learn through operating large volumes of data and analyzing information. Combining Artificial Intelligence services with Cloud Computing would be something to consider in this regard as it gives instant advantages in terms of data manipulation. The cloud environment allows you to store massive volumes of data and makes it easily accessible.


Global Big Data Conference

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Financial crime as a wider category of cybercrime continues to be one of the most potent of online threats, covering nefarious actives as diverse as fraud, money laundering and funding terrorism. Today, one of the startups that has been building data intelligence solutions to help combat that is announcing a fundraise to continue fueling its growth. Ripjar, a UK company founded by five data scientists who previously worked together in British intelligence at the Government Communications Headquarters (GCHQ, the UK's equivalent of the NSA), has raised $36.8 million (£28 million) in a Series B, money that it plans to use to continue expanding the scope of its AI platform -- which it calls Labyrinth -- and scaling the business. Labyrinth, as Ripjar describes it, works with both structured and unstructured data, using natural language processing and an API-based platform that lets organizations incorporate any data source they would like to analyse and monitor for activity. It automatically and in real time checks these against other data sources like sanctions lists, politically exposed persons (PEPs) lists and transaction alerts.


Registration Open for FREE Webinar: 'Detecting Fraud with Hybrid AI' (October 28, 2020)

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In collaboration with BigML partner, INFORM Gmbh, we're pleased to bring the BigML community a new educational webinar: Machine Learning Fights Financial Crime. This FREE virtual event will take place on October 28, 2020, at 8:00 AM PDT / 9:00 AM PDT and it's the ideal learning opportunity for Financial institutions, banking sector professionals, credit professionals, risk advisers, crime fighters, fraud professionals, and anyone interested in finding out about the latest financial crime-fighting and risk analysis strategies and trends. Financial institutions must innovate to stop the onslaught of fraudulent transactions. The utilization of Machine Learning as a tool for fraud detection is trending. Combining Machine Learning with existing intelligent and dynamic rule sets produces a sustainable strategy to address this challenge.


From bomb-affixed drones to narco tanks and ventilated tunnels: How well-equipped are the Mexican cartels?

FOX News

Mexico's increasingly militarized crackdown of powerful drug cartels has left nearly 39,000 unidentified bodies languishing in the country's morgues – a grotesque symbol of the ever-burgeoning war on drugs and rampant violence. Investigative NGO Quinto Elemento Labs, in a recent report, found that an alarming number of people have been simply buried in common graves without proper postmortems, while others were left in funeral homes. The so-called war of drugs has claimed the lives of nearly 300,000 people over the last 14 years, while another 73,000 have gone missing. All the while, these cartels have yet to be designated formal terrorist organizations despite boasting well-documented arsenals of sophisticated weaponry to rival most fear-inducing militias on battlefields abroad. Just last month, reports surfaced that Mexico's Jalisco New Generation Cartel (CJNG) now possess bomb-toting drones – which The Drive's Warzone depicts as "small quadcopter-type drones carrying small explosive devices to attack its enemies."


Ripjar, founded by GCHQ alums, raises $36.8M for AI that detects financial crime – TechCrunch

#artificialintelligence

Financial crime as a wider category of cybercrime continues to be one of the most potent of online threats, covering nefarious actives as diverse as fraud, money laundering and funding terrorism. Today, one of the startups that has been building data intelligence solutions to help combat that is announcing a fundraise to continue fueling its growth. Ripjar, a UK company founded by five data scientists who previously worked together in British intelligence at the Government Communications Headquarters (GCHQ, the UK's equivalent of the NSA), has raised $36.8 million (£28 million) in a Series B, money that it plans to use to continue expanding the scope of its AI platform -- which it calls Labyrinth -- and scaling the business. Labyrinth, as Ripjar describes it, works with both structured and unstructured data, using natural language processing and an API-based platform that lets organizations incorporate any data source they would like to analyse and monitor for activity. It automatically and in real time checks these against other data sources like sanctions lists, politically exposed persons (PEPs) lists and transaction alerts.


Why AI is essential for controllers

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Artificial Intelligence is a hot topic. Applications based on machine learning make the news on a near-daily basis. Smart police cameras steered by algorithms can register drivers holding cell phones with great precision. Algorithms can dynamically determine the real-time prices for taxi rides, hotel rooms, airplane seats, and so on. High-frequency traders are getting rich as they sleep by letting their secret algorithms do the work.