AI has the power to search through millions of genetic variants at high speed and identify likely ... [ ] causes of rare diseases, while also comparing what they find with the existing medical literature. This is greater than the population of the United States, yet the ominous figures don't end there. According to the Global Genes organization, eight out of ten rare diseases are caused by a faulty gene, yet it takes an average of 4.8 years to arrive at an accurate diagnosis. This is part of the reason why 30% of children with a rare disease won't live to see their fifth birthday. Neither is this situation helped by the fact that 95% of rare diseases lack an FDA-approved treatment.

Leaked Chinese Communist Party (CCP) documents have revealed how China uses artificial intelligence to round up Uyghurs and other ethnic minorities for detention in Xinjiang's network of mass internment camps. The classified documents, made public by the International Consortium of Investigative Journalists (ICIJ) on Nov. 24, has also uncovered the repressive inner workings of the detention camps in the troubled western region, where at least one million are believed to have been detained, according to figures quoted by the U.S. Congressional-Executive Commission on China and the United Nations. NEW: #ChinaCables is a leak of highly classified Chinese documents that expose the inner workings of mass detention camps in Xinjiang and reveal, in the government's own words, how it manages the day-to-day internment and forced indoctrination of Uighurs. In the second major leak in just days of the inner-workings of the CCP in Xinjiang, the papers--the China Cables--reveal that "Chinese police are guided by a massive data collection and analysis system that uses artificial intelligence to select entire categories of Xinjiang residents for detention." In the space of just one week, the names of hundreds of thousands of Uyghurs and other ethnic minorities in the region were issued for arrest and interrogation using data collected by mass surveillance technology, according to the ICIJ report.

Artificial intelligence is getting better at reading your mind. An AI could guess what videos people were watching purely from their brainwaves. Grigory Rashkov at Russian research firm Neurobotics and colleagues trained an AI using video clips of different objects and brainwave recordings of people watching them. The recordings were made using an electroencephalogram (EEG) cap and the video clips included nature scenes, people on jet skis and human expressions. The AI then tried to categorise and recreate the videos from the EEG data alone.

You have probably experienced a simplified version of low-latency matching in action. When starting the checkout process at many popular online marketplaces you start typing your address, and the address bar starts showing suggestions to autocomplete your address, even if you have never shopped at the site before. This approach is low-latency, as the autofill suggestion shows up nearly-instantaneously, but it does not use any sophisticated matching on the back-end which means that a single-letter deviation from the correct street spelling will no longer yield the same suggestions. It is near-instantaneous for a reason – the entry that you started to type is matched one-to-one to existing records to find a match, and if no match is found, it simply shows nothing. This is where machine learning comes into play – allowing the more sophisticated matching to happen on the back-end, while still allowing near-instantaneous matching.

Over the years, the role of the customer support agent has evolved from simply handling customer inquiries to building customer relationships and growing the business. According to the Salesforce State of Service Report, 71 percent of agents see their role as more strategic than two years ago. This means not only are agents spending more time solving complex issues, but they're also expected to upsell, cross-sell, and provide voice of the customer input into product development. The problem is, they're being asked to take on these changing responsibilities using the same old processes and tools. "As agents become more strategic, they have the potential to add more business value, especially in the area of customer experience," said Alok Ramsisaria, CEO of Grazitti Interactive, SearchUnify's parent company based in Sunnyvale, CA. "Having successfully completed hundreds of service implementations for enterprises all over the world, I can confidently say that the key to empowering agents is to arm them with contextual knowledge about the problem they're solving. And do it in a way that's scalable and delivers consistent results. Unfortunately, support teams are being hampered by manual processes and technology silos that keep them from servicing customers in the most efficient, effective way."

The Region of Southern Denmark, with help from SAS, has become the first place in the world to implement a complete system for monitoring hospital-acquired infections. Professor Jens Kjølseth Møller at Lillebaelt Hospital is the brain behind the new system, which is made possible by SAS Analytics. Kjølseth Møller expects the system to reduce the number of infections during hospitalization by one-third, significantly increasing patient safety. "It is unsatisfying that patients admitted to Danish hospitals are at risk of further illness," says Peder Jest, Medical Director at Odense University Hospital. "The work of providing a high degree of patient safety and good infection hygiene is, therefore, a key focus area for the Region of Southern Denmark. With SAS, we now have the ability to monitor and predict the risk of hospital-acquired infections at a patient level."

Salesforce Einstein and Einstein Analytics have footholds in sales, but these 15 #DF19 announcements add artificial intelligence use cases across the enterprise. Nearly half of companies now say that they're using some form of artificial intelligence, according to McKinsey research that Salesforce shared at Dreamforce 2019, yet seven out of ten companies report they're seeing little to no value from their AI projects so far. This gap exists, Salesforce executives asserted, because too many companies are struggling to overcome data-management and data-science technical hurdles, so they have yet to put AI into production at scale. Salesforce's alternative is Einstein and Einstein Analytics, both of which offer prebuilt, CRM-embedded predictions and recommendations along with the ability to build AI apps and answer company-specific business questions without coding or data science expertise. There's no question that AI is of interest to organizations and that the Einstein and Einstein Analytics promise of pre-built capabilities and declarative, no-code/low-code app and model development is compelling.

Provides tools to create and manipulate probability distributions using S3. Generics random(), pdf(), cdf(), and quantile() provide replacements for base R's r/d/p/q style functions. The documentation for each distribution contains detailed mathematical notes. There are several vignettes: Intro to hypothesis testing, One-sample sign tests, One-sample T confidence interval, One-sample T-tests, Z confidence interval for a mean, One-sample Z-tests for a proportion, One-sample Z-tests, Paired tests, and Two-sample Z-tests.

Robots will soon be everywhere – especially if ordinary objects can be turned into them. A computer program can now use 3D-printing to turn household objects into hand-activated robots. It can be used to turn on the water taps on a bathroom sink with the wave of a hand, or to give a window the ability to shut itself when the weather gets cold. Xiang'Anthony' Chen at the University of California in Los Angeles and colleagues developed the tool, known as Robiot, to automate simple physical tasks.

Fox News Flash top headlines for Nov. 26 are here. Check out what's clicking on Foxnews.com Boston Celtics star Gordon Hayward credited video games for helping him make progress rehabbing the broken hand he suffered earlier this month. Hayward, who is known for his gaming prowess off the court, said Sunday that playing video games helped "keep his fingers moving," according to The Athletic. The 29-year-old's love for video games was chronicled earlier this year in The Washington Post.