How can many people (who may disagree) come together to answer a question or make a decision? "Collective response systems" are a type of generative collective intelligence (CI) facilitation process meant to address this challenge. They enable a form of "generative voting", where both the votes, and the choices of what to vote on, are provided by the group. Such systems overcome the traditional limitations of polling, town halls, standard voting, referendums, etc. The generative CI outputs of collective response systems can also be chained together into iterative "collective dialogues", analogously to some kinds of generative AI. Technical advances across domains including recommender systems, language models, and human-computer interaction have led to the development of innovative and scalable collective response systems. For example, Polis has been used around the world to support policy-making at different levels of government, and Remesh has been used by the UN to understand the challenges and needs of ordinary people across war-torn countries. This paper aims to develop a shared language by defining the structure, processes, properties, and principles of such systems. Collective response systems allow non-confrontational exploration of divisive issues, help identify common ground, and elicit insights from those closest to the issues. As a result, they can help overcome gridlock around conflict and governance challenges, increase trust, and develop mandates. Continued progress toward their development and adoption could help revitalize democracies, reimagine corporate governance, transform conflict, and govern powerful AI systems -- both as a complement to deeper deliberative democratic processes and as an option where deeper processes are not applicable or possible.

After a few years of staying mostly under the radar, Instagram co-founders Kevin Systrom and Mike Krieger are back with a new project. It's an app called Artifact, a name Systrom told Platformer's Casey Newton is designed to evoke the project's three tenants: "articles, facts and artificial intelligence." In short, it's a news aggregation app driven by a TikTok-like recommendation algorithm. When you first launch Artifact, you'll see a central feed populated by stories from publications like The New York Times. As you read more articles, the app will begin personalizing your feed.

Machine learning is an advanced field that incorporates many aspects of mathematics, computer science, and coding. A career in machine learning typically requires a Master's of Science degree. The education and training involved in machine learning can require intense dedication, depth of knowledge, and attention to detail. You can get started with machine learning by learning coding languages, practicing fine-tuning algorithms, and paying close attention to artificial intelligence applications for products and services. Everything from the technology of a Tesla vehicle, Netflix's recommendation algorithms, c or speech-to-text recognition on your iPhone represents an innovation in machine learning. You can find information about machine learning from a breadth of free, accessible resources.

Recommender systems are a class of online reinforcement learning algorithms that interact sequentially with an environment suggesting relevant items to a user. During the last decade, there has been an increasing interest in online recommendation techniques due to the importance of advertisement recommendation for e-commerce websites or the rise of movies and music streaming platforms [1, 2]. Among different settings for recommender systems, in this work, we focus on the contextual bandit framework applied to the recommendation of quantum data. The contextual bandit problem is a variant of the multi-armed bandit problem where a learner at each round receives a context and given a set of actions (also called actions) has to decide the best action using the context information. After selecting an action the learner will receive a reward and for the next rounds, they will use the previous information of contexts and rewards in order to make their future choices.

We saw at least four videos in which Bakar and Yehia either appeared, or could be heard, extorting and abusing LGBTQ people before they uploaded the videos to Whatsapp, Youtube and Facebook. In one of these videos, an 18-year-old gay man we are calling Saeed is forced to, falsely, say he is a sex worker. I met him to hear about what happened next. He told me that he considered legal action but says his lawyer advised against this, telling him his sexuality would be perceived as more of a crime than the attack he suffered.

AI is rapidly changing the way Hollywood functions. It revolutionizes how stories are told, how movies are made, how audiences engage with content, and more. AI has the potential to disrupt the entire movie industry, from the way producers develop scripts to the way audiences consume content. AI is already being used to help filmmakers create more engaging stories. AI-powered screenwriting tools are being used to help writers generate ideas and structure their stories.

If you have an Eero mesh system, you can extend your Wi-Fi network with select Echo devices. Amazon acquired Eero in 2019, and the company has continued to turn out some of the best mesh Wi-Fi routers around. The Eero range is especially good for Alexa-based smart homes, offering tight integration if you link your Amazon and Eero accounts. Read on to find out which Echo devices can act as Eero Wi-Fi extenders and how to set them up, but note that Eero Built-in is only available in the US and Canada for now. If you buy something using links in our stories, we may earn a commission.

The future of online shopping relies on experts who can design a unique, enjoyable virtual shopping experience for customers. To suit the needs of today's online buyers, those pursuing careers in business administration must utilize the newest digital technology and solutions. Since the development of the Internet, e-commerce has seen phenomenal growth. Due to the widespread use of smartphones, anyone may access online retailers and spend money to purchase necessities, even amid the Covid-19 pandemic. Diverse, customer-focused experiences will determine the direction of online purchasing in the future.

By Rajsekhar Aikat, Chief Technology & Product Officer, iMerit In 2022, we saw the advancement of numerous technological trends that have tremendous potential to transform the way we live and work. Among the most impactful innovations we have seen in the last year is an acceleration of AI applications deployed by enterprises to enhance and automate processes and workspaces. As companies look to do more with less, they will turn to automation to drive new efficiencies. This is especially true with geopolitical and economic ambiguities at the forefront of many business leaders' minds. As we look forward to 2023 bringing further maturity to the space, here are five areas to watch out for in the coming months.

Airmeez announced they will be working with SoundHound AI, Inc. technology to bring a seamless conversational AI experience to software-as-a-service intelligent virtual assistant, notification and customer engagement solutions. Intelligent Virtual Assistants (IVAs) are AI-powered assistants that achieve the purpose of interactions while generating personalized responses by combining analytics and cognitive computing based on individual customer information, past conversations, and location. SoundHound's advanced voice AI will now be deployed through Airmeez offerings, which include a customer communications platform as a service for building custom IVA, notification and other communication solutions using a no-code drag-and-drop design tool. This voice-enablement will allow callers to interact with Airmeez applications, providing award-winning accuracy of intent detection, convenience and cost savings in healthcare, government, education and other markets. SoundHound's proprietary Speech-to-Meaning system will allow Airmeez to deliver a faster and more positive caller experience, an improved efficiency of call centers, and reduce staffing challenges and costs for their customers.