Media professionals can register for the first Dalet Pyramid premiere online session held on November 4th here.

Her international reputation has grown with exciting collaborations with Snoop Dogg, Chris Brown, Jim Jones, Trey Songz, Lloyd, Jeremih, Boyz II Men, K'Naan, Judith Hill, Rain, The Jacksons and Chaka Khan. Especially in Japan, her music is known for its strength and substance. Despite the fame she's achieved, her down-to-earth personality shines during every performance. As AI will tell you, she'll do anything to get a smile from her fans. Her music diversity even stretches out to co-producing a single with "the" legendary producer Scott Storch contains a full message of SDG'S actions, which became a theme song to take a part in global action, "One Young World Japan", encouraging and supporting next world leaders globally as an official Japanese ambassador.

ZF's autonomous shuttle wins the Innovation Award from CLEPA, the European automotive supplier association, in the Connectivity and Automation category. CLEPA has recognized ZF's new mobility concept as a clean, safe, and on-demand local transport solution that is ready for implementation now. The system has been extensively tested: In various projects worldwide, the vehicles have already covered more than 100 million kilometers autonomously and carried more than 14 million passengers – without safety drivers. This reduces costs and makes the shuttles operational 24 hours a day. Whether transport operators, manufacturers, or suppliers, the mobility industry faces numerous and fundamental challenges.

We tend to consider emotions a manifestation of our innermost nature of human beings. Emotions characterize our lives in many ways and they chaperon every rational activity we carry out. Despite their pervasiveness, there are still many things we ignore about emotions. Among them, our understanding of how living beings transfer emotions is limited. In particular, there are highly sophisticated interactions between human beings that we would like to comprehend. For instance, think of a movie director who knows in advance the strong emotional impact that a certain scene will have on the spectators. Although many artists rely on some emotional devices, their talent and vision are still the key factors. In this work we analyze high-level protocols for transferring emotions between two intelligent agents. To the best of our knowledge, this is the first attempt to use communication protocols for modeling the exchange of human emotions. By means of a number of examples, we show that our protocols adequately model the engagement of the two parties. Beyond the theoretical interest, our proposal can provide a stepping stone for several applications that we also discuss in this paper.

In the previous articles, Azure Machine Learning Pipelines and Azure AI Fundamentals, we've learned holistically about Microsoft AI and its various functionalities as well as about the processes to create pipelines in Azure. This article explores the Azure ML Studio and gives a hands-on guideline to create Machine Learning Workspace in Azure and on Creating Compute Cluster for machine learning projects. Microsoft AI is a powerful framework that enables organizations, researchers, and non-profits to use AI technologies with its powerful framework which offers services and features across domains of Machine Learning, Robotics, Data Science, IoT, and many more. The Azure Machine Learning enriches and consolidates the functionalities to support model training and deployment which transitions from Machine Learning Studio. It provides tools for Machine Learning works for all skill levels, provides an open and interoperable framework with support to different languages, and enables robust end-to-end MLOps.

I've long been a fan of Google's Pixel phones and the newest Pixel 6 and Pixel 6 Pro don't disappoint. They're the first phones to use Google's new Tensor processor, which were custom designed to enhance the phone's features including its camera, voice recognition and current and future artificial intelligence applications. There are two models, which share much in common, but the Pro's 6.7-inch screen is noticeably larger than the Pixel 6's 6.4-inch display. The other major difference between the two models is that the Pro has both a 2x and 4x optical zoom while the Pixel 6's zoom is limited to 2x. The Pixel 6 sells for $599 while the 6 Pro costs $899.

Nikon has officially unveiled its new flagship mirrorless camera, the $5,500, 45.7-megapixel Z9 with 8K 30p video and up to 20 fps RAW burst shooting speeds. It's Nikon's first camera to use a stacked sensor with built in memory that allows for very fast readout speeds. In fact, Nikon is so confident in the electronic shutter that it has abandoned the mechanical shutter entirely, so the Z9 is the first high-end professional camera without one. With that high-speed sensor (which has the same megapixel count as the Z7 II), the Z9 allows a flash sync of up to 1/200th of a second, which looks like the fastest sync speed ever for an electronic shutter. That should also make it very resistant to rolling shutter, which is crucial if the camera is to be used for sports or action photography. The faster sensor allows JPEG burst shooting at up to 30 fps, or RAW photos at 20 fps.

Hey guys! this blog is about a mini project of scraping the contents from the websites. I hope you enjoy this article. We are using Beautiful soup to scrape the text data. Beautiful Soup is a Python package for parsing HTML and XML documents. It creates a parse tree for parsed pages that can be used to extract data from HTML, which is useful for web scraping.

We consider the problem of generating rankings that are fair towards both users and item producers in recommender systems. We address both usual recommendation (e.g., of music or movies) and reciprocal recommendation (e.g., dating). Following concepts of distributive justice in welfare economics, our notion of fairness aims at increasing the utility of the worse-off individuals, which we formalize using the criterion of Lorenz efficiency. It guarantees that rankings are Pareto efficient, and that they maximally redistribute utility from better-off to worse-off, at a given level of overall utility. We propose to generate rankings by maximizing concave welfare functions, and develop an efficient inference procedure based on the Frank-Wolfe algorithm. We prove that unlike existing approaches based on fairness constraints, our approach always produces fair rankings. Our experiments also show that it increases the utility of the worse-off at lower costs in terms of overall utility.

Recently, interactive recommendation systems based on reinforcement learning have been attended by researchers due to the consider recommendation procedure as a dynamic process and update the recommendation model based on immediate user feedback, which is neglected in traditional methods. The existing works have two significant drawbacks. Firstly, inefficient ranking function to produce the Top-N recommendation list. Secondly, focusing on recommendation accuracy and inattention to other evaluation metrics such as diversity. This paper proposes a deep reinforcement learning based recommendation system by utilizing Actor-Critic architecture to model dynamic users' interaction with the recommender agent and maximize the expected long-term reward. Furthermore, we propose utilizing Spotify's ANNoy algorithm to find the most similar items to generated action by actor-network. After that, the Total Diversity Effect Ranking algorithm is used to generate the recommendations concerning relevancy and diversity. Moreover, we apply positional encoding to compute representations of the user's interaction sequence without using sequence-aligned recurrent neural networks. Extensive experiments on the MovieLens dataset demonstrate that our proposed model is able to generate a diverse while relevance recommendation list based on the user's preferences.