Metaverse Desires Even More VR Christmas Hype
Although while Oculus headset sales are on the rise, the device is still considered a niche offering when compared to Facebook’s overall goals. The fact that making a good gaming gadget is no longer sufficient is one of the consequences of Facebook’s recent rebranding as a “metaverse” firm.
The Oculus VR headgear, developed by the company formerly known as Meta Platforms, appears to have done well during the holiday season. KeyBanc Capital and Jefferies analysts reported last week that Oculus software downloads spiked over the holidays, with Brent Thill of Jefferies noting that the number of daily active users of the app on Christmas Day was up 90% year over year. Facebook paid $2 billion for Oculus in 2014, but the company has never publicly reported its sales. If the market research firm finalizes its fourth-quarter data, however, IDC predicts that the company’s VR device sales in 2021 will total between 5.3 million and 6.8 million units.
Either one would be a significant increase over the anticipated 3.5 million Oculus units sold in 2017. This is a significant improvement over the company’s sluggish sales figures before the release of the first Quest headset in the middle of 2019. Prior Oculus hardware often connected wirelessly or via a cable to a powerful computer. These “tethers” have significantly reduced virtual reality’s (VR) attractiveness, especially among gamers. Visible Alpha expects that between fiscal years 2019 and 2021, Sony will sell around 5.5 million copies of its tethered PlayStation VR headset. That’s roughly the same as 12 percent of all PlayStation consoles Sony sold throughout that period.
The company’s name change two months ago considerably upped the stakes on that wager, even though Facebook founder Mark Zuckerberg has long made clear that his objectives for Oculus stretch far beyond gaming. The metaverse, according to its proponents, is not just a virtual world. In contrast to standard web browsing on PCs and mobile devices, however, VR would be a major technology differentiating this virtual world. “There is no presence outside of VR.” VoxPop’s veteran VR industry analyst Stephanie Llamas emphasized the importance of being present.
Any business hoping to succeed in the next years by relying on the metaverse will need to get a lot of gadgets into a lot of hands. Less than 3% of Facebook’s daily active users in North America and Europe (the two areas that account for the vast majority of its revenue) have purchased an Oculus headset in the past five years, according to estimates. The percentage of new headset owners who got one for Christmas is likewise hard to predict. Also, some of the recent sales may have been made by Meta’s own staff members as an attempt to gain favor with Meta’s CEO. According to the Wall Street Journal, Mr. Zuckerberg has recently begun holding more of his internal meetings in VR.
Facebook’s transformation is predicated on the idea that enough people will be willing to spend several hundred dollars to join a virtual world managed by a firm with significant public trust issues that is currently raking in over $110 billion in advertising income annually. Virtual reality goggles beneath the tree might be the easy part.
The fascination of American IT companies with ShareChat, India’s most popular social network
ShareChat makes it simple to start chatting with others in a country where many people are just now getting access to the internet. It also doesn’t bother with English support.
The biggest names in technology are running out of room to expand. Most of these companies have been looking to India as a source of new customers because more Indians have joined the internet in the past few years than live in the United States. ShareChat is the company that has shown to be the most successful in reaching this country’s eccentric population. ShareChat is an India-focused social network with headquarters in Bangalore, often called India’s Silicon Valley. It supports more than a dozen regional Indian languages and has many of the features you’d expect from a social media platform, such as a feed based on your interests and the people you follow, the ability to share text, images, and videos, and the ability to comment and like other users’ posts.
ShareChat was built to take advantage of the exploding content consumption in India. It’s meant to encourage new internet users to continue browsing the web and, more significantly, to continue sharing information via WhatsApp, the most widely used messaging program in the country. ShareChat is more like Reddit than Facebook or Twitter, and it doesn’t require you to follow or friend someone to get started. Upon first logging on, you’ll see a range of posts in the language of your choice, including news, tabloid gossip, good morning messages, and more. ShareChat also has public chat rooms where you may join at any time and start talking to complete strangers, a typical internet advantage that is especially appealing to first-time users in India who are coming online from rural areas. ShareChat also features a function called “Shake-N-Chat” that pairs random users talking about comparable topics together for a one-on-one conversation. ShareChat’s largest departure from standard social media is its lack of an English language choice. That’s a big reason why the biggest names in western technology have taken notice. Twitter’s only other startup investment is in ShareChat (twice). It’s thought to be on the edge of raising more money from Google and Snapchat. There was also speculation that Google might buy ShareChat for a billion dollars.
An Enormous, Competitive Market
Google, like many other Western IT firms, has become increasingly frequent in its betting on Indian startups. Reliance Jio is the largest telecom provider in India, and it has lately received hundreds of millions in investments from tech giants like Google, Facebook, Qualcomm, and Intel. In addition, the news aggregator and content app DailyHunt received funding from Microsoft and Google towards the end of last year.
Not only that. The cost of gadgets and internet service is a key concern in India, where the typical family income is roughly $3,600, so most of these tech companies have spent a lot of time over the past few years attempting to optimize their services for the country. For instance, you can dial a toll-free number to have a conversation with the Google Assistant offline. Amazon offers a battery-operated version of its Echo smart speaker for use in areas of the country without reliable access to electricity. Dumbphones can access social media and newsfeeds from the likes of Facebook, Google, and Twitter. For about $3 per month, Netflix subscribers may watch TV series and movies in standard definition (SD) on their mobile devices. The run-on list is infinite.
It’s easy to see why India has captured the attention of tech companies. Around 650 million people call it home for their internet access, making it the second-fastest expanding internet economy. Cisco predicted in 2018 that by 2023, this number would have surpassed 900 million.
Wireless provider Reliance Jio deserves much of the credit for India’s digital revolution because, beginning four years ago, it began offering cellular 4G services at rock-bottom pricing, pushing the rest of the market to follow suit. (Most didn’t or were absorbed into larger corporations.) These days in India, you can get a 4G plan that includes unlimited calling and 2 GB of data each day for less than $4.
Tech businesses can’t afford to miss out on the massive market potential in India, where just around half of the population is online compared to the United States and the United Kingdom, where over 90% of the population is online.
Only 10% of Indians speak English, and most of the country’s internet users come from non-English-speaking rural areas, making it difficult to break into the Indian market. Nine out of ten Indian internet users are expected to adopt regional languages in the near future.
That’s where we (and ShareChat) come in. Its non-English social network boasts 160 million monthly active users who spend an average of 31 minutes per day within the app, putting it on par with market leaders like Facebook.
Moj (which means “entertainment” in Hindi) is a short-form video app that was released by ShareChat and quickly gained 80 million monthly active users. Moj, in contrast to ShareChat, is written in English. ShareChat’s rapid expansion can be partially attributed to the fact that the government of India has outlawed dozens of Chinese apps, including the popular one TikTok. ShareChat was launched in 2015, but 100 million of its current 160 million users joined in just the past year.
Amit Sharma, an analyst at GlobalData, notes that consumers who are new to the internet, let alone social media, often lack the literacy skills necessary to understand how discovery functions. ShareChat gets rid of that problem by delivering the material directly to the user. Companies like Google and Twitter can utilize this technique to enter new markets and make money from advertising to those people they acquire.
According to Sharma, “[ShareChat] encompasses a massive following in Tier II, III, and IV cities and towns,” which is why the app is such a hot commodity among Western technology firms.
OpenAI Gpt2 Harvard Idaho
The Harvard School of Engineering and Applied Sciences is conducting research known as Harvard OpenAI Gpt2 Idaho to advance the state of the art in language processing. The goal of the Gpt2 Idaho language model development project is to produce a tool for sophisticated NLP tasks. The goal of the project is to use OpenAI, an open source software platform, and artificial intelligence (AI) approaches, particularly GPT-2, an unsupervised model built by OpenAI scientists. This study is being done to evaluate the OpenAI GPT-2 platform’s language processing abilities for cutting-edge machine learning and language generation algorithms.
Where do I find out more information on OpenAI Gpt2 Idaho?
The OpenAI GPT-2 Idaho project is a language-processing research initiative overseen by Harvard’s School of Engineering and Applied Sciences. GPT-2 is a state-of-the-art unsupervised language model that has been trained on a huge amount of text data. It accomplishes its goal by assessing the context of previously processed text in order to forecast the next token in a series of text. GPT-2 is a language model developed with the aim of generating natural-sounding, grammatically sound text. This model is unsupervised because it does not rely on labels or training data to generate text.
Introducing the OpenAI Gpt2 Idaho Project
The OpenAI Gpt2 Idaho project aims to investigate the language-related possibilities of the OpenAI platform. Researchers at the Harvard School of Engineering and Applied Sciences are exploring new applications for the GPT-2 platform by utilizing it to create massive amounts of language data. Quantitative data on GPT-2’s capabilities and performance in general language processing tasks are also being collected as part of this study.
Studying how well GPT-2 performs in practical cognitive contexts is the primary focus of this project. The researchers hope to use the platform to measure the effect of GPT-2’s capacity to generate natural-sounding language and the platform’s language processing capabilities on various activities, such as translation and natural-language question answering.
Analytical Structure for Research
Many different types of data are being used by the researchers at the Harvard School of Engineering and Applied Sciences. Several texts written in English are being used by the OpenAI Gpt2 Idaho project. Everything that can be found at a public library or online is considered public domain.
The scientists are using GPT-2 as a platform to analyze massive amounts of linguistic data and produce their own linguistic datasets. Applications like question-answering and machine translation rely on these sets to function properly. The project hopes to employ GPT-2’s framework to create programs that let people convey nuanced feelings and ideas in an approachable and individualistic way.
Implementing New Functions into Existing Programs
The study group is working on numerous language-related programs. Tools for this purpose can range from deep learning algorithms to NLP and NLP-based apps to language-generation software. The group also plans to use the platform’s data to build tools for things like content creation, semantic analysis, and NLP.
In order to determine what kinds of situations GPT-2 might be useful for, the OpenAI Gpt2 Idaho project is conducting research. Applications for natural language processing and content development, as well as those that facilitate freeform human expression, fall under this category.
In addition, they are amassing a mountain of linguistic data from the OpenAI corpus, which includes books, papers, news, and more. These records are being used for the development of GPT-2 and the creation of new applications.
Resulting Benefits from the Project
There are many upsides to the OpenAI Gpt2 Idaho project. It not only helps programmers create cutting-edge apps, but it also sheds light on how far GPT-2 can go in terms of generating realistic-sounding language.
Project Restriction Statements
The project has several promising aspects, but it also has some restrictions. Keeping the accuracy of GPT-2’s natural language generation is a major problem for the project. Because of this, the project necessitates the services of seasoned language engineers to guarantee the quality and stability of the software.
The Harvard OpenAI GPT-2 Idaho project is an academic investigation into OpenAI GPT-2’s potential in high-level language processing roles. By utilizing the platform, it is able to produce massive amounts of linguistic data for research and development. The goal of the project is to learn more about the capabilities of the GPT-2 platform and develop software that will help people express themselves more freely in their conversations.
What is OpenAI Gpt2 Idaho? is a related FA Q&A.
The OpenAI GPT-2 Idaho project is a research initiative overseen by the Harvard School of Engineering and Applied Sciences that use the GPT-2 platform developed by OpenAI for NLP.
Specifically, I would like to know Q: What are the project’s main goals?
The OpenAI Gpt2 Idaho project’s main goals are (1) learning how successful GPT-2 is for cognitive applications, and (2) developing tools that help people express themselves more freely in their conversations.
To answer your question, Q: What is OpenAI Idaho MedicaidKnightwired?
The Harvard School of Engineering and Applied Sciences has established OpenAI Idaho MedicaidKnightwired as a research program to investigate the utility of OpenAI tools in the medical field.
About the Harvard-Idaho Medicaid-Knight-Wired Program, Please.
- Harvard Idaho MedicaidKnightwired is a project that aims to investigate the utility of OpenAI in medical settings. The project’s main objective is to use OpenAI’s GPT-2 platform to produce massive amounts of linguistic data for use in the creation of healthcare-related apps.
The definition of Harvard OpenAI Idaho is unknown.
Harvard The OpenAI Idaho project is an effort to advance the state of the art in language processing by researchers from the Harvard School of Engineering and Applied Sciences. With OpenAI’s GPT-2 platform for natural language processing, the project is able to create massive amounts of linguistic data for use in creating cutting-edge software.
5G private network is gradually fermenting, and ODM manufacturers are grabbing card slots
5G is an indispensable weapon for the digital transformation of various industries. In recent years, major electronic assembly companies have actively deployed the 5G private network market, hoping to seize opportunities in the fields of smart manufacturing, medical care, and transportation. Although the proportion of 5G-related revenue of each company is still relatively low, there is an opportunity to grow gradually as applications continue to expand.
The characteristics of 5G are low latency, high bandwidth, and large connections. After being built as an enterprise private network, it can become a network system with a specific purpose to help enterprises carry out digital transformation, and can penetrate into application fields such as smart manufacturing, medical care, transportation, education, and entertainment. .
Major electronic assembly companies have entered the 5G market with their server and network equipment hardware manufacturing capabilities, including Quanta, Inventec, Wistron, Compal, Pegatron, etc., and have actively deployed the 5G private network market in recent years.
As for Wistron, its server factory, Wiwynn, is actively investing in the development of the edge computing market, investing in a number of open radio access network (Open RAN)-based 5G private network verification projects, cutting into the distributed units in the 5G network ( DU), central unit (CU), core network, and other edge computing applications.
Wiwynn also cooperated with Ciena, a major network equipment manufacturer, to participate in the 5G smart factory verification field project in Germany of the world’s largest telecom tower supplier; it also developed a low-latency mixed reality (Mixed- Reality) application.
As for Quanta, its server factory, Yunda, has also cooperated with a number of Taiwanese system integrators. With the QCT OmniPOD 5G enterprise private network equipped with Intel and the QCT POD HPC & AI integrated platform as the infrastructure, it has now cut into smart manufacturing, Medical, higher education, urban and entertainment applications. Including assisting Singapore University of Technology and Design to use Campus 5G to incubate commercial digital transformation, and working with German companies to expand applications in industrial transformation such as smart medical care, logistics, and production.
As early as 2018, Compal actively deployed 5G enterprise private network, and cooperated with Qualcomm in 2019 to join hands with many technology and start-up companies in Taiwan to build ASE Kaohsiung Plant as the world’s first 5G millimeter wave enterprise private network smart factory . At the same time, Compal and Qualcomm also have long-term close cooperation in the fields of 5G modules and XR applications, providing a number of 5G+AIoT wireless application products and solutions.
Compal also cooperated with the Kaohsiung City Government to enter Kaohsiung Yawan 5G AIoT Innovation Park. Previously, the 5G AIoT R&D Center was officially opened. Manufacturing, health care, cloud gaming and other four major areas.
As for Inventec, it has completed the verification of the actual field assembly line level of 5G smart factories in the first half of the year, and will provide 5G end-to-end solutions for the manufacturing industry in the future. In addition to conducting O-RAN application integration verification in the 5G field, Inventec plans to conduct more 5G O-RAN application integration verification planning solutions through the 5G open laboratory in the second half of the year, and complete the application integration from the laboratory to the field , focusing on more 5G solution applications for smart factories.
Recently, Inventec has also invited Intel, Microsoft and other partners to build 5G Next Lab to build 5G connectivity solutions for enterprises. The solution is based on Intel chips and Microsoft core network software, and can be applied to 5G public networks and private networks. network.
Inventec pointed out that the Japanese and Taiwan markets currently have relatively complete regulations on frequency spectrum, which is where future opportunities lie. As for other markets, the biggest difficulty lies in the tightness of local regulations. Therefore, the development of overseas markets still has to wait. There will only be a chance when local regulations become clearer.
Pegatron has actively developed 5G vertical integration since 2020, and continues to develop 5G technology in multiple application fields such as smart factories, transportation, and disaster relief. Previously, it also cooperated with Taiwan Microsoft and Shenbo Communications to jointly develop 5G-ORAN base stations. Pegatron’s 5G enterprise mobile private network is expected to be commercialized in 2023. The company believes that there is a great opportunity to expand in ground stations, and will continue to invest in antennas and modems (modems) to continue to expand the market.
On the whole, the current 5G O-RAN market application is still in the initial stage of introduction, and each ODM factory will focus on the field verification of its own smart factory at this stage. Gradually grow as the application continues to expand.
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