At 8agora, our vision is to enable our virtual world, and make it accessible to all people from anywhere in the world and from any device. A place where they can work, play, learn, shop, socialize and create. A virtual space that is immersive, easy-to-use, as close to the real world as possible, and just plain fun! A virtual world with infinite possibilities!
In Ancient Greece, the Agora was the central public space of a city. It represented its core gathering area, its commercial and social hub, the real heart of the city. We keep this timeless tradition and we make it infinite.
8agora is a Virtual Reality world created to give you infinite possibilities. It is the meeting place of teams, the playground of creatives, the storyteller’s scene and the showcase of future ventures. 8agora opens up the future for enterprises and individuals alike, empowering them to overcome distances, save time, reach out to the whole world, brainstorm, collaborate and connect through the most advanced interactive technology.
Explore 8agora to discover the virtually infinite ways it can work for you.
At 8agora, our vision is to enable all people, everywhere in the world to be able to socialize and collaborate in a virtual space that is fun, immersive, easy-to-use, and as close to the real world as possible. We democratize virtual reality by making it accessible to everyone, from any device, offering the same immersive experience to gadget buffs and everyday users alike.
8agora is a natural interaction environment that grants you the freedom from the eternal constraints of time, space and costs. You can jump into 8agora for a meeting transcending the physical location of your colleagues. Bring anyone on the globe to your event with no logistics hassle. Design freely and dream display for your product and showcase it to the world with infinite demo sessions.
Committed to helping those suffering from the impact of Post Traumatic Stress Disorder, 8agora’s team is dedicating time and resources, to work closely with top professionals who are conducting research on the use of virtual reality systems that will assist with clinical assessment, treatment rehabilitation and resilience.
The VR program is oriented around talk therapy and peer support, two of psychiatry’s traditional frontline defenses against PTSD. Developed by an international team of psychologists in partnership with the VR platform 8agora, each participant—including a therapist, who guides each session—appears as a customizable avatar. In a pilot session which was recorded and posted to YouTube, Balashova and two other Ukrainian refugees currently living in Bucharest discussed some of the more mundane challenges they’ve encountered since relocating to a new country. Another woman lamented the difficulties of adapting to the transit system in Bucharest. The subject matter of the conversation was easygoing by design. “People with PTSD sometimes don't react well when other people mention a traumatic event that they themselves went through,” says Dr. Cezar Giosan, Associate Professor of Psychology, University of Bucharest, who helped design the virtual peer support group.
Lisa Orlandi, CEO of 8agora, said in a message to VentureBeat that we’ll see an early push of metaverse processing and applications into the cloud.
“If you look at metaverse companies today, the heavy compute requirements and rendering are downloaded onto the user device, but this model does not scale well to billions of people across the globe,” Orlandi said. “This will need to be pushed to a multicloud infrastructure (similar to what Amazon or Netflix are doing to stream in the cloud). This also means that data centers will need to ramp up their compute capacity and continue to build out their infrastructure to support the high-speed, high-compute requirements.” But she noted it will be a challenge to do this kind of processing in the cloud in a sustainable way as power consumption for these heavy compute-intensive environments and bandwidth requirements to the user will increase significantly. “Even when you look at Nvidia’s streaming, where they render in the cloud, the user still needs to download an app (it’s not web-based),” Orlandi said.
This paper describes authors’ research in developing collaborative virtual reality classrooms for laboratory and distance learning. The proposed platform was developed to facilitate the implementation of virtual reality labs that can be used by students, locally or by remote access from any device. The platform was developed to facilitate the implementation of virtual reality labs that can be used by students, locally or by remote access from any device (computer, tablet, smart TV or game console). The architecture of the application for MUVE is client server, multiple servers can be used for content, and from the client application installed on the laboratory computers it will be possible to access these servers preferentially depending on the desired applications.
The paper presents a set of deep learning algorithms for detecting vibration anomalies in bearings using multivariate time series on datasets provided by Case Western Reserve University. The study considers a problem of multiclassification of the condition of the bearings depending on the type of defect, but also on the degree of defect, considering only punctual defects in an incipient phase. Once the data sets are correctly labeled and the algorithms are trained on this data, they can accurately predict the type and the size of defect. The model with the best results in the set is RNN - CNN (Recurrent Neural Network with Convolutions) giving an accuracy greater than 97% in all (load) cases.
Rapid prototyping, especially through 3D Printing, for small and medium-sized products, managed to improve the design phase by the quality of the prototype obtained and by the short times of its realization. Recently, virtual immersion tends to replace 3D Printing technology. Virtual Reality Aided Design (VRAD) significantly reduces production times, costs and especially allows the rapid modification of the prototype, which is impossible to achieve in 3D Printing. Our article presents the study of a Compressed Air Vehicle (CAV) prototype participating in the international academic competition PNEUMOBILE; it is a study carried out by the UPBAIR team of UPB through virtual immersion.
Identifying the “health state” of the equipment is the domain of condition monitoring. The paper proposes a study of two models: DNN (Deep Neural Network) and CNN(Convolutional Neural Network) over an existent dataset provided by Case Western Reserve University for analyzing vibrations in fault diagnosis. After the model is trained on the windowed dataset using an optimal learning rate, minimizing the cost function, and is tested by computing the loss, accuracy and precision across the results, the weights are saved, and the models can be tested on other real data. The trained model recognizes raw time series data collected by micro electro-mechanical accelerometer sensors and detects anomalies based on former times series entries.