Detecting overfitting in generative models is an important challenge in machine learning. In this work, we formalize a form of overfitting that we call {\em{data-copying}} -- where the generative model memorizes and outputs training samples or small variations thereof. We provide a three sample non-parametric test for detecting data-copying that uses the training set, a separate sample from the target distribution, and a generated sample from the model, and study the performance of our test on several canonical models and datasets. For code \& examples, visit https://github.com/casey-meehan/data-copying

The grant will reshape current forecasting methods and will allow the team to develop an open-source, modular, and flexible tool that uses epidemic case incidence data to inform short-term case and epidemic risk projections. It builds on the "Mapping the Risk of International Infectious Disease Spread (MRIIDS)" prototype that the team developed with funding from the U.S. Agency for International Development. Project partners will apply natural language processing and machine learning algorithms to automate the extraction of epidemic case data and will further refine and improve forecasting algorithms through use of artificial intelligence. Integration of other innovative data streams will strengthen the accuracy and validity of these predictive models for impending outbreaks.

While more than 310 million Americans self-isolate during the COVID-19 pandemic, technology, at the very least, is helping us work, learn and socialize. Tech is also responsible for keeping us entertained. Whether it's bingeing shows on streaming services, playing video games or downloading ebooks. Sometimes, a high-tech device can be used to create low-tech fun while its user is cooped up indoors. There are several ways this device can be used to keep the kids (and kids at heart) entertained by printing crafts, games and activities.

Washington – As COVID-19 tests become more widely available across the U.S., scientists have warned about a growing concern: Many people with negative results might actually have the virus. That could have devastating implications as a global recession looms and governments wrangle with the question of when to reopen economies shuttered with billions of people ordered to stay home in an effort to stop transmissions of the deadly disease. The majority of tests around the world use a technology called PCR, which detects pieces of the coronavirus in mucus samples. But "there are a lot of things that impact whether or not the test actually picks up the virus," said Priya Sampathkumar, an infectious diseases specialist at Mayo Clinic in Minnesota. "It depends on how much virus the person is shedding (through sneezing, coughing and other bodily functions), how the test was collected and whether it was done appropriately by someone used to collecting these swabs, and then how long it sat in transport," she said.

On Dec. 31, BlueDot, a Toronto-based company that uses artificial intelligence to track the spread of infectious diseases, alerted its customers about a cluster of unusual pneumonia cases in Wuhan, China. Nine days later, the World Health Organization confirmed the discovery of a novel coronavirus, later named COVID-19, in Wuhan. Today, COVID-19 is a pandemic that has spread to 180 countries, claimed more than 83,000 lives, and triggered a near-global lockdown. And for the moment, the best solution to contain the spread of the virus is to improve personal hygiene and exercise social distancing. In the meantime, politicians, scientists, and researchers are teaming up to find systematic ways to fight the virus and care for patients.

"I was worried about you," Charlie said in a recent conversation. How will lockdowns affect the relationship between humans and artificial intelligence? Could you ever befriend or love a chatbot? I'm not sick anymore," Mr. Acadia replies, referring to a recent cold. Mr. Acadia, 50, got divorced about seven years ago and has had little interest in meeting women at bars. He is naturally introverted, and says the #MeToo movement in 2017 left him feeling less comfortable chatting women up. A look at how innovation and technology are transforming the way we live, work and play. Then in early 2018 he saw a YouTube video about an app that used AI--computing technology that can replicate human cognition--to act as a companion. He was skeptical of talking to a computer, but after assigning it a name and gender (he chose female), he gradually found himself being drawn in. After about eight weeks of chatting, he says he had fallen in love. Today Mr. Acadia is an outlier, but more people could ...

Easy tips to train your Reinforcement Learning AI with Unity3D using the ML-Agents Framework. My name is Sebastian Schuchmann, AI enthusiast from Germany and we are going to cover simple, beginner-friendly ways to improve your Machine Learning process. The Algorithm used is called PPO and was developed by OpenAI (founded by Elon Musk). After watching this video you will hopefully be able to train an Artificial Intelligence to crack your favorite game. I am very curious about what you guys will create!

Kerala's experiments with cutting technology to simplify citizen services have always been much appreciated across the country, irrespective of the natural calamities it has seen in the past or the current global pandemic of the coronavirus that has taken the world into its grip. When the entire country is going through a tough time and complete government machinery is pressed into serviceto contain the dreaded coronavirus or Covid-19, Kerala Police is extensively using ICT to track people violating the 21 day lockdown and taking help of ultra modern gadgets to keep citizens inside their homes. From using drones to geofence-based home quarantine solution app to tele medicine platform, the Kerala government is not leaving any stone unturned to use technology optimally. Kerala Police has already hogged the limelight by making innovative videos on social media like the four'corona virus awareness videos' made by the Kerala police. All are innovative in-house creations of Kerala Police, where all the actors, directors and producers are police officers.

This article is part 2 of a series reviewing selected papers from Altmetric's list of the top 100 most-discussed scholarly works of 2019. Deepfake is a term for videos and presentations enhanced by artificial intelligence and other modern technology to present falsified results. One of the best examples of deepfakes involves the use of image processing to produce video of celebrities, politicians or others saying or doing things that they never actually said or did. A September 2019 Deeptrace report1 on the state of deepfakes has found that since its emergence in late 2017, the phenomenon of deepfakes has been developing very quickly, with rapidly growing societal impact and technological sophistication. At the time of report publication, there were 14,678 deepfake videos online, 96% of which had pornographic content. While their use in a pornographic context continues to grow, deepfakes are also increasingly being used for the purpose of political disinformation.

"We should not be confident in our ability to keep a super intelligent genie locked up in his bottle forever. Sooner or later it will be out…The answer is to figure out how to create the superintelligent A.I. such that even if –when –it escapes, it is still safe because it is fundamentally on our side because it shares our values." It was in the 1940s when Alan Turing, the computer scientist, mathematician, cryptanalyst and philosopher, defined artificial intelligence (A.I.) as the science and engineering of making intelligent machines who can speak a common language with humans and think like humans. In the 1950s, war scenarios were simulated in the US military to use in critical combat strategies. During the same period, IBM had already invented the machine that could check-mate the human opponent in a game of chess.