Crowdfunding in the realm of the Social Web has received substantial attention, with prior research examining various aspects of campaigns, including project objectives, durations, and influential project categories for successful fundraising. These factors are crucial for entrepreneurs seeking donor support. However, the terrain of charity crowdfunding within the Social Web remains relatively unexplored, lacking comprehension of the motivations driving donations that often lack concrete reciprocation. Distinct from conventional crowdfunding that offers tangible returns, charity crowdfunding relies on intangible rewards like tax advantages, recognition posts, or advisory roles. Such details are often embedded within campaign narratives, yet, the analysis of textual content in charity crowdfunding is limited. This study introduces an inventive text analytics framework, utilizing Latent Dirichlet Allocation (LDA) to extract latent themes from textual descriptions of charity campaigns. The study has explored four different themes, two each in campaign and incentive descriptions. Campaign description themes are focused on child and elderly health mainly the ones who are diagnosed with terminal diseases. Incentive description themes are based on tax benefits, certificates, and appreciation posts. These themes, combined with numerical parameters, predict campaign success. The study was successful in using Random Forest Classifier to predict success of the campaign using both thematic and numerical parameters. The study distinguishes thematic categories, particularly medical need-based charity and general causes, based on project and incentive descriptions. In conclusion, this research bridges the gap by showcasing topic modelling utility in uncharted charity crowdfunding domains.

Crowdfunding, which is the act of raising funds from a large number of people's contributions, is among the most popular research topics in economic theory. Due to the fact that crowdfunding platforms (CFPs) have facilitated the process of raising funds by offering several features, we should take their existence and survival in the marketplace into account. In this study, we investigated the significant role of platform features in a customer behavioral choice model. In particular, we proposed a multinomial logit model to describe the customers' (backers') behavior in a crowdfunding setting. We proceed by discussing the revenue-sharing model in these platforms. For this purpose, we conclude that an assortment optimization problem could be of major importance in order to maximize the platforms' revenue. We were able to derive a reasonable amount of data in some cases and implement two well-known machine learning methods such as multivariate regression and classification problems to predict the best assortments the platform could offer to every arriving customer. We compared the results of these two methods and investigated how well they perform in all cases.

So you have a new cutting-edge AI product/service idea. Unfortunately, this is easier said than done! How can a project cover the numerous expenses of AI product development, and remain financially stable? This is exactly where seed funding comes in. What is seed funding?... Seed funding comes before the product/service is ready for commercialization.

Service robots hit double digit growth worldwide. The market for professional service robots reached a turnover of 6.7 billion U.S. dollars worldwide – up 12% in 2020. At the same time, turnover of new consumer service robots grew 16% to 4.4 billion U.S. dollars.

We previously covered Charmed Labs PIXY2 computer vision camera based on an NXP LPC4330 microcontrollers that worked with Arduino, Raspberry Pi, and other development boards. The company is now back with a fully integrated more powerful solution with Vizy AI camera featuring a Raspberry Pi 4 SBC with up to 8GB RAM. The AI camera supports optional accessories including an M12 zoom lens with 87 FoV, an outdoor enclosure, lighting, a telescope adapter, and a 4G LTE cellular USB modem. Vizy can be configured via a web interface accessible from any device or computer with a web browser and programmed using Python with support for deep-learning neural networks in order to detect objects, people and/or animals using Tensorflow, OpenCV, or PyTorch. As an edge AI platform, all processing is done onboard, which means no connection to the cloud is needed nor a monthly fee has to be paid.

We previously covered Charmed Labs PIXY2 computer vision camera based on an NXP LPC4330 microcontrollers that worked with Arduino, Raspberry Pi, and other development boards. The company is now back with a fully integrated more powerful solution with Vizy AI camera featuring a Raspberry Pi 4 SBC with up to 8GB RAM. The AI camera supports optional accessories including an M12 zoom lens with 87 FoV, an outdoor enclosure, lighting, a telescope adapter, and a 4G LTE cellular USB modem. Vizy can be configured via a web interface accessible from any device or computer with a web browser and programmed using Python with support for deep-learning neural networks in order to detect objects, people and/or animals using Tensorflow, OpenCV, or PyTorch. As an edge AI platform, all processing is done onboard, which means no connection to the cloud is needed nor a monthly fee has to be paid.

Artificial Intelligence has already earned its place in the business application. Be it trend spotting, future prediction or workflow management, AI has distinctive uses in industry and creating new opportunities. Business applications are tools or a set of computer software which company are using to increase productivity and to perform the various task of the business with ease. Let's glance at AI-empowered tools ONPASSIVE is using to enhance any business gracefully: AI-Enabled Crowdfunding: Crowdfunding has levelled up with the evolution of AI, raising the chances for success. What once used to be a closed area for the big venture are now an open area for everyone.

A lot has changed since Engadget was born, both in the gadgets we use and what we do with them on a regular basis. When the site started in 2004, fitness trackers, voice assistants and electric cars were the stuff of fiction. Now most of these are commonplace, so much so that we put our trust in them on a daily basis. To celebrate Engadget's 15th birthday, here are 15 things that didn't exist 15 years ago. In the past, mobile phones could do mostly two things: Make calls and send (and receive) text messages. If you had a fancier model, you could also play a little game. Features were added over the years, including music playback and photography. Smartphones like the BlackBerry and the Palm Treo that combined the functionality of PDAs and phones eventually came about, but were mostly designed for business users.

In the recent past, both Crowdfunding and Artificial Intelligence (AI) development, have been touted as industries that could change the world. And it appears that they are doing so – albeit, at their own pace. For Crowdfunding, that change is in the way people fund businesses, donate to charity and find the perfect investment on their own terms. When it comes to AI, it's an industry that's moving forward all the time. Think the Internet of Things (IoT), big data processing in financial services and online customer service. But now, as both industries grow in maturity, is it time for two of the world's most significant disruptors to work together?

Neil deGrasse Tyson wants to give you the power to create a universe on your own terms. He's hoping to allow people to bend items like gravity, design solar systems and make decisions about how life forms. Not in reality, but in a video game he's hoping to bring to the market called "Space Odyssey." The astrophysicist and Manhattanhenge creator has started a crowdfunding campaign to raise money to create a video game about outer space. "There are enough video games that are shoot em' up and this sort of thing," Tyson said in an interview at Comic-Con. The campaign launched on Tuesday at the beginning of E3.