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How AI is changing photography

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If you're wondering how good your next phone's camera is going to be, it'd be wise to pay attention to what the manufacturer has to say about AI. Beyond the hype and bluster, the technology has enabled staggering advances in photography over the past couple of years, and there's no reason to think that progress will slow down. There are still a lot of gimmicks around, to be sure. But the most impressive recent advancements in photography have taken place at the software and silicon level rather than the sensor or lens -- and that's largely thanks to AI giving cameras a better understanding of what they're looking at. Google Photos provided a clear demonstration of how powerful a mix AI and photography would be when the app launched in 2015.


Horrifying deepfake video blends Jennifer Lawrence and Steve Buscemi

Daily Mail - Science & tech

An unnerving new video that appears to show Steve Buscemi's face seamlessly molded onto Jennifer Lawrence's head is yet another example of the worrying advancements of'deepfakes' videos. The clip will sound familiar to anyone who remembers Lawrence's speech backstage at the 2016 Golden Globes – but the words are instead coming out of Buscemi's mouth. Horrified social media viewers have been have been sharing the clip of'Jennifer Buscemi' across the internet this week, with many calling it the stuff of nightmares. An unnerving new video appears to show Steve Buscemi's face seamlessly molded onto Jennifer Lawrence's body The clip was first posted by Reddit user VillainGuy at the beginning of January. It's since been shared thousands of times.


A Speech Act Classifier for Persian Texts and its Application in Identify Speech Act of Rumors

arXiv.org Machine Learning

Speech Acts (SAs) are one of the important areas of pragmatics, which give us a better understanding of the state of mind of the people and convey an intended language function. Knowledge of the SA of a text can be helpful in analyzing that text in natural language processing applications. This study presents a dictionary-based statistical technique for Persian SA recognition. The proposed technique classifies a text into seven classes of SA based on four criteria: lexical, syntactic, semantic, and surface features. WordNet as the tool for extracting synonym and enriching features dictionary is utilized. To evaluate the proposed technique, we utilized four classification methods including Random Forest (RF), Support Vector Machine (SVM), Naive Bayes (NB), and K-Nearest Neighbors (KNN). The experimental results demonstrate that the proposed method using RF and SVM as the best classifiers achieved a state-of-the-art performance with an accuracy of 0.95 for classification of Persian SAs. Our original vision of this work is introducing an application of SA recognition on social media content, especially the common SA in rumors. Therefore, the proposed system utilized to determine the common SAs in rumors. The results showed that Persian rumors are often expressed in three SA classes including narrative, question, and threat, and in some cases with the request SA.


UN analysis: US, China winning race for AI development

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Jan. 31 (UPI) -- The number of global artificial intelligence inventions over a recent three-year span more than doubled all previous creations since the …


China, US lead global race to dominate artificial intelligence: UN study

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GENEVA, Jan. 31 (Xinhua) -- China, together with the United States, lead the global competition to dominate artificial intelligence (AI), a study …


AI and robots serve guests at Alibaba's futuristic FlyZoo Hotel, China

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You are definitely not in a science-fiction movie with Artificial Intelligence (AI) and robots, but it feels exactly like one as AI and robots serve guests at Alibaba-owned FlyZoo Hotel in Hangzhou, some 170 km southwest of Shanghai, China. Flyzoo Hotel, the first futuristic hotel of Alibaba Group Holding Ltd., employs black disc-shaped robots about a meter in height to deliver food and drop off fresh towels, along with their human hotel staff. The 290-room hotel was formally opened to the public in December last year. It serves as an incubator for the technology that Alibaba wants to sell to the hotel industry in the future. This first high-tech, futuristic feature hotel also showcases the power of artificial intelligence as it operates without a receptionist and a concierge.


The Artificial Intelligence that Composes Like the Beatles and Writes Like J. K. Rowling - OpenMind

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Two robotic arms that each hold a pen begin to draw with short strokes on two sheets of paper-- two eyes, a mouth and the silhouette of a face. They portray the front and profile view of Eliseo Carrera Bustillo, a 26-year-old student sitting on a stool while two cameras observe and analyse him closely. Both machines imitate the style of their creator--the French artist Patrick Tresset--and it only takes half an hour to finish the portrait and sign it. Nowadays, more and more artificial intelligence systems paint pictures, compose music, create poetry and write novels. But what difference is there between a work created by a machine and by a human?


Bomb dive into Machine Learning - Episode 2

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A percentage (usually around the 70%) that can be used for the training of the model, called training set. The rest of the data will play as the validation set and it will be used to evaluate the performance of the model when it receives data that has never seen. A percentage (usually around the 70%) that can be used for the training of the model, called training set. The rest of the data will play as the validation set and it will be used to evaluate the performance of the model when it receives data that has never seen. For more complex types of model, often a small percentage (usually 5% to 10% of all the datasets) is reserved for an additional evaluation of the performance, after that the model shows good results also on the validation set.


AI Improves Influencer Marketing Campaign Performance by over 150%

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Branded Entertainment Network (BEN), the leader in connecting global brands to consumers through the power of popular entertainment, today revealed early successes from BEN's market leading Artificial Intelligence (AI) solution. Popular brands leveraging the solution include the streaming service Philo and video/games rental operator Redbox, who have all seen increased performance from their influencer marketing campaigns. BEN is the first entertainment marketing company to leverage deep learning neural networks that are backed with over 30 years of proprietary campaign data, such as performance and ROI tracking, including 10 years of influencer marketing campaign data. BEN's neural networks uniquely combine this structured data with unstructured video and audio data. Rather than simply matching brands with influencers, BEN's AI has been trained to provide its clients with next generation predictive analytics that drive actual campaign results.


Data Science in the Real World – Meet Netflix, Google and Amazon at DATAx Singapore

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Machine learning, predictive analytics, IoT, smart cities and fintech are some of the hot topics where you need to know the latest. Get a sneak peak of upcoming DATAx with the DATAx New York festival post event report.