Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches.

Deep Instinct's platform is based on deep learning, the branch of AI that enables a computing system to process data and signals and organize the …

Trusted Business Insights presents an updated and Latest Study on Machine Learning Market 2019-2026.

There is something so awe-inspiring and sublime about watching unmanned drones or flying cars or the stuff of dreams. Now, you don't need to worry as the future of Artificial Intelligence is here. From visors to Virtual Reality or Augmented Reality headsets to mechanized robots which would replace humans in the immediate future. One prominent example of the lure and reach that Artificial Technology has is that we grapple with it daily; we are oblivious to that fact. A restaurant in Indira Nagar in the hinterland of Bangalore is robot-centric wherein your food is served by this.

Data science is a combination of various machine learning principles along with tools and algorithms to analyze raw data and conclude hidden patterns or predictions. Data science does not only provide predictive casual analytics and perspective analytics but also machine learning for making predictions and pattern discovery. With these complex and meaningful analytics, it finds the critical insights out of anything that can help to enhance the value. There are a huge number of blogs that talk about all these data science projects and helps to enlighten its users about the new technology. Data science is an evergrowing field of computer science, and it is difficult to keep pace with the trendy additions all the time. The below-mentioned blogs of data science will help you to keep updated and stay ahead in the competition. After acquiring Datascence.com back in 2018, Oracle started focusing on the utilization of Machine learning for its customers. Oracle always wanted to enable people to leverage the power of AI with the combination of big data and data analytics. This big data blog can be seen as a part of this goal as it emphasizes the impact of big data and AI on various applications of our regular life. Besides, how we can transform the data catalog to get more insight from a business alongside the extraction of business value is discussed in Oracle AI and Data Science Blog. If you are planning to start your career in this field, you can follow this blog as you will get everything that you must understand to become a data scientist in 2020. This Belgium based data science community is publishing big data-related content to minimize the gap between data science and common people since 2015. The blogs are available for free, and you will get all of them in their archives. They are intended to generate solutions for the challenges that we face in our day-to-day life through data analytics. They are focused on educating and empowering people while the scholar and professionals are also included among their target audience. It can be seen as a bridge between academics and business as it highlights the power of big data and the value it can add to any business. NGO workers, business leaders, data enthusiasts, university professors, and also Ph.D. students share their skills and experiences through this blog.

"God made man because he loves stories." Elie Wiesel's phrase, taken from an ancient Hassidic parable, couldn't be more evocative. Nor could it be more capable of underlining that stories are intrinsically associated with the human condition. They accompany man's existence from the very beginning and are – perhaps – the best that humanity has to offer. The association between man and narrative dimension has deep roots.

Disney Parks have reportedly been urged to overhaul the theme of its famous Splash Mountain ride. The park's popular log flume ride has recently been getting calls for Disney to alter its whole attraction motif. In the wake of the protests against police brutality and racial injustices and amid the ongoing Black Lives Matter movement, fans and parkgoers have claimed that Disney's Splash Mountain is based on the 1946 Disney film "Song of the South" -- which has been dubbed one of the "most racist movies" for its stereotypes of black people. According to a report from CNN, the controversial live-action animated musical film has long been criticized for romanticizing the post-Civil War period in South America. "Song of the South" is set in a plantation in Georgia in the 1800s during the Reconstruction era.

Open Domain dialog system evaluation is one of the most important challenges in dialog research. Existing automatic evaluation metrics, such as BLEU are mostly reference-based. They calculate the difference between the generated response and a limited number of available references. Likert-score based self-reported user rating is widely adopted by social conversational systems, such as Amazon Alexa Prize chatbots. However, self-reported user rating suffers from bias and variance among different users. To alleviate this problem, we formulate dialog evaluation as a comparison task. We also propose an automatic evaluation model CMADE (Comparison Model for Automatic Dialog Evaluation) that automatically cleans self-reported user ratings as it trains on them. Specifically, we first use a self-supervised method to learn better dialog feature representation, and then use KNN and Shapley to remove confusing samples. Our experiments show that CMADE achieves 89.2% accuracy in the dialog comparison task.

Online hate speech is a newborn problem in our modern society which is growing at a steady rate exploiting weaknesses of the corresponding regimes that characterise several social media platforms. Therefore, this phenomenon is mainly cultivated through such comments, either during users' interaction or on posted multimedia context. Nowadays, giant companies own platforms where many millions of users log in daily. Thus, protection of their users from exposure to similar phenomena for keeping up with the corresponding law, as well as for retaining a high quality of offered services, seems mandatory. Having a robust and reliable mechanism for identifying and preventing the uploading of related material would have a huge effect on our society regarding several aspects of our daily life. On the other hand, its absence would deteriorate heavily the total user experience, while its erroneous operation might raise several ethical issues. In this work, we present a protocol for creating a more suitable dataset, regarding its both informativeness and representativeness aspects, favouring the safer capture of hate speech occurrence, without at the same time restricting its applicability to other classification problems. Moreover, we produce and publish a textual dataset with two variants: binary and multi-label, called `ETHOS', based on YouTube and Reddit comments validated through figure-eight crowdsourcing platform. Our assumption about the production of more compatible datasets is further investigated by applying various classification models and recording their behaviour over several appropriate metrics.