The FDA has permitted marketing of IDx-DR (IDx LLC)--the first medical device to use artificial intelligence to detect greater than a mild level of the eye disease diabetic retinopathy in adults who have diabetes. Diabetic retinopathy occurs when high levels of blood sugar lead to damage in the blood vessels of the retina, the light-sensitive tissue in the back of the eye. Diabetic retinopathy is the most common cause of vision loss among the more than 30 million Americans living with diabetes and the leading cause of vision impairment and blindness among working-age adults. "Early detection of retinopathy is an important part of managing care for the millions of people with diabetes, yet many patients with diabetes are not adequately screened for diabetic retinopathy since about 50% of them do not see their eye doctor on a yearly basis," said Malvina Eydelman, MD, Director of the Division of Ophthalmic, and Ear, Nose, and Throat Devices at the FDA's Center for Devices and Radiological Health. "Today's decision permits the marketing of a novel artificial intelligence technology that can be used in a primary care doctor's office. The FDA will continue to facilitate the availability of safe and effective digital health devices that may improve patient access to needed health care."

What does the future of fake news look like? No one really knows, but here's a little sampler from Jordan Peele and BuzzFeed, who teamed up to make the above PSA. Using some of the latest AI techniques, Peele ventriloquizes Barack Obama, having him voice his opinion on Black Panther ("Killmonger was right") and call President Donald Trump "a total and complete dipshit." The video was made by Peele's production company using a combination of old and new technology: Adobe After Effects and the AI face-swapping tool FakeApp. The latter is the most prominent example of how AI can facilitate the creation of photorealistic fake videos.

Daniel Suarez has quickly established himself as the heir apparent to Michael Crichton with a string of fast-paced thrillers full of cutting-edge science. His new novel Change Agent is about a world transformed by ubiquitous genetic engineering and based on real-life research that's advancing at an astonishing rate. In Suarez's book, editing the genomes of human embryos is common, but strict limits are placed on edits that are considered too risky. That puts Interpol agents at odds with parents who want every genetic advantage for their children--as well as with the black market baby labs that cater to them. One of Change Agent's crazier plot points involves a criminal who attacks an Interpol agent and injects him with a substance that rewrites his DNA, transforming his body into that of a wanted criminal.

If you combine two or three metals together, you will get an alloy that usually looks and acts like a metal, with its atoms arranged in rigid geometric patterns. But once in a while, under just the right conditions, you get something entirely new: a futuristic alloy called metallic glass. The amorphous material's atoms are arranged every which way, much like the atoms of the glass in a window. Its glassy nature makes it stronger and lighter than today's best steel, and it stands up better to corrosion and wear. Although metallic glass shows a lot of promise as a protective coating and alternative to steel, only a few thousand of the millions of possible combinations of ingredients have been evaluated over the past 50 years, and only a handful developed to the point that they may become useful.

China's support and focus for the emerging AI industry, as well as its goal of becoming a world leader in artificial intelligence by 2030, comes from a source that the country takes very seriously -- government policy. Thus, China's possible domination of the AI sphere within the next 12 years could be the result of the nation using its strengths and weaknesses as a means to propel itself into the forefront of intelligent tech. Kai-Fu Lee, an AI investor that helps tech startups get off the ground through his $1.8-billion dual-currency venture fund Sinovation Ventures, recently noted in a statement to WIRED that China's goal of becoming the world leader in AI-driven solutions by 2030 is achievable because the target is literally a policy from the state. According to Lee, China's government has the capability to implement policies that are followed to a fault by both the country's citizens and its business sector. The AI investor also noted that this system is difficult to replicate in other countries trying to dominate the AI field, such as the United States, due to the West's democracy-driven nature.

The U.S. Senate and House hearings last week on Facebook's use of data and foreign interference in the U.S. election raised important challenges concerning data privacy, security, ethics, transparency, and responsibility. They also illuminated what could become a vast chasm between traditional privacy and security laws and regulations and rapidly evolving internet-related business models and activities. To help close this gap, technologists need to seriously reevaluate their relationship with government. Here are four ways to start. Help to increase tech literacy in Washington.

State-of-the-art forecasting methods using Recurrent Neural Net- works (RNN) based on Long-Short Term Memory (LSTM) cells have shown exceptional performance targeting short-horizon forecasts, e.g given a set of predictor features, forecast a target value for the next few time steps in the future. However, in many applica- tions, the performance of these methods decays as the forecasting horizon extends beyond these few time steps. This paper aims to explore the challenges of long-horizon forecasting using LSTM networks. Here, we illustrate the long-horizon forecasting problem in datasets from neuroscience and energy supply management. We then propose expectation-biasing, an approach motivated by the literature of Dynamic Belief Networks, as a solution to improve long-horizon forecasting using LSTMs. We propose two LSTM ar- chitectures along with two methods for expectation biasing that significantly outperforms standard practice.

We introduce a new benchmark, WinoBias, for coreference resolution focused on gender bias. Our corpus contains Winograd-schema style sentences with entities corresponding to people referred by their occupation (e.g. the nurse, the doctor, the carpenter). We demonstrate that a rule-based, a feature-rich, and a neural coreference system all link gendered pronouns to pro-stereotypical entities with higher accuracy than anti-stereotypical entities, by an average difference of 21.1 in F1 score. Finally, we demonstrate a data-augmentation approach that, in combination with existing word-embedding debiasing techniques, removes the bias demonstrated by these systems in WinoBias without significantly affecting their performance on existing coreference benchmark datasets. Our dataset and code are available at http://winobias.org.

JERUSALEM – Israel released details on Tuesday about what it described as an Iranian "air force" deployed in neighboring Syria, including civilian planes suspected of transferring arms, a signal that these could be attacked should tensions with Tehran escalate. Iran, along with Damascus and its big-power backer Russia, blamed Israel for an April 9 airstrike on a Syrian air base, T-4, that killed seven Iranian Revolutionary Guards Corps (IRGC) members. Iranian officials have promised unspecified reprisals. Israeli media ran satellite images and a map of five Syrian air bases allegedly used to field Iranian drones or cargo aircraft, as well as the names of three senior IRGC officers suspected of commanding related projects, such as missile units. The information came from the Israeli military, according to a wide range of television and radio stations and news websites.

Controversial data mining company collected information on at least 87 million Facebook users. LONDON -- Cambridge Analytica created its own Facebook quizzes and questionnaires to collect reams of data on users using the social networking giant, according to a former senior official at the data mining company. Brittany Kaiser, the former director of program development at Cambridge Analytica, told British lawmakers on Tuesday that the company, which is at the center of a broader Facebook data scandal, widely used such practices, including a "sex compass" quiz, to garner insight on people's online habits. These data-collection strategies made it highly likely that more people's Facebook data had been collected without their knowledge than previously thought, according to Kaiser. Cambridge Analytica is already accused of using a third-party app created by Aleksandr Kogan, a Cambridge University professor, to collect online information on up to 87 million Facebook users.