Written on 18 May 2018. The tiny image sensors in most modern cameras can only absorb a small amount of light, which often results in dark, grainy images. To try to solve this problem without inventing a new image sensor, researchers at Intel and the University of Illinois Urbana-Champlain taught an artificial intelligence algorithm how to take the data from darker images and reconstruct them so that they're brighter and clearer, according to research published this month and to be presented in June at an industry conference. To train the algorithm, the researchers showed it two version of more than 5,000 images taken in low-light scenarios: One set that was taken to be purposefully too dark, and one set that was taken with a longer exposure time, meaning the sensor is given more time to collect light and better expose the image. The Intel and UIUC team claims the algorithm can now amplify low-light images the equivalent of up to 300 times the exposure, without the same noise and discoloration that programs like Photoshop might introduce or having to take two separate images. While the team did build a custom algorithm to do the task, the most innovative aspect of the work is the dataset they created.

I am trying to optimize an agent in a simple simulation. For now, I do not want the agent to take the current state into consideration. Instead, it should just react to the environment. My idea is to model the agent as a neuronal network. The simulation results in a score, which I want to maximize.

STRATA DATA -- Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics optimized for the cloud, today announced new innovations to help businesses operationalize data insights faster by making data scientists and data engineers more productive. New machine learning capabilities make it easier for data scientists to quickly train and deploy models with higher confidence and lower risk. Massive increases in performance, scale and capacity of Cloudera's modern data platform help organizations keep pace with the explosive growth and diversity of data in their business. These new capabilities enable data teams to collaborate more effectively and deliver models to production faster, enabling secure access to enterprise-scale, high-performance data and compute, both on-premises and across public clouds. Click to tweet: NEWS: @Cloudera empowers enterprises to propel their digital transformation with updates to #cloud and #datascience offerings: http://bit.ly/2Izoqjc

Getty Images has announced a partnership with AI platform Cortex, to create a solution for creatives that recommends the best Getty Images content for social media campaigns. The program launched last month and has allowed creatives to better scour the database's 80m still images and illustrations. This has been possible through the AI's analysis, which has already allowed over 33,000 brands to predict what color schemes, imagery, and keywords perform best on social media. Cortex currently has a list of customers across several industries that includes Heineken, Hulu, Jack Daniels and Marriott. Results have come in from the launch already: Cortex has said in a statement that marketers using the tool to create content outperformed their industry benchmarks by up to 300% and save an average of 8.5 hours per user per week.

Ed Newton-Rex, who composes for choirs, says JS Bach demonstrated how the greatest creative artists draw on a wide range of qualities. "It wasn't just his knowledge of music, although that was a big part of it," he says. "It was also his fervent religious belief and very high sense of academic rigour." Until machines can encompass these, they are not likely to compose anything rivalling the Goldberg Variations. Nevertheless, as the founder of AI music composer Jukedeck, Newton-Rex thinks computers are capable of creativity.

Learn how to deploy and host your machine learning model as a Flask web service, build a front end web application to access your model, and interact with your model in the browser with this video series.

The fragile apparition endured only long enough to say: "Help me Obi Wan Kenobi, you're my only hope" before flickering out. But R2D2's 3D projection gave millions of young eyes, including mine, their first taste of holograms, and planted unrealistic expectations of a future playing dejarik, the gruesome game of holographic chess played on board the Millennium Falcon. The concept of the hologram was already familiar, invented in the 1940s by physicist Dennis Gabor, but since the force reawakened the idea almost 40 years later, things haven't really moved on. That depends on your definition of a hologram. We have made astounding strides in 3D TV and virtual reality, and in the eye-twistingly complex world of computer-generated holography (CGH) – simply put, a way of recording and reproducing 3D images on a medium like standard images on film.

WASHINGTON: For its updated news application, Google is doubling down on the use of artificial intelligence as part of an effort to weed our disinformation and help users get viewpoints beyond their own "filter bubble." Google chief Sundar Pichai, who unveiled the updated Google News earlier this month, said the app now "surfaces the news you care about from trusted sources while still giving you a full range of perspectives on events." It marks Google's latest effort to be at the center of online news and includes a new push to help publishers get paid subscribers through the tech giant's platform. According to product chief Trystan Upstill, the news app "uses the best of artificial intelligence to find the best of human intelligence -- the great reporting done by journalists around the globe." While the app will enable users to get "personalized" news, it will also include top stories for all readers, aiming to break the so-called filter bubble of information designed to reinforce people's biases.

The Tokyo-based maker of the Walkman portable player, Aibo entertainment robot and Bravia TVs has amassed know-how over the decades when it was leading in "analog technology," said Yoshida, who was named president and chief executive in February. He said Sony's CMOS image sensor excels in its speed, lighting range and absence of noise.

In recent years, due to the booming development of online social networks, fake news for various commercial and political purposes has been appearing in large numbers and widespread in the online world. With deceptive words, online social network users can get infected by these online fake news easily, which has brought about tremendous effects on the offline society already. An important goal in improving the trustworthiness of information in online social networks is to identify the fake news timely. This paper aims at investigating the principles, methodologies and algorithms for detecting fake news articles, creators and subjects from online social networks and evaluating the corresponding performance. This paper addresses the challenges introduced by the unknown characteristics of fake news and diverse connections among news articles, creators and subjects. Based on a detailed data analysis, this paper introduces a novel automatic fake news credibility inference model, namely FakeDetector. Based on a set of explicit and latent features extracted from the textual information, FakeDetector builds a deep diffusive network model to learn the representations of news articles, creators and subjects simultaneously. Extensive experiments have been done on a real-world fake news dataset to compare FakeDetector with several state-of-the-art models, and the experimental results have demonstrated the effectiveness of the proposed model.