Through Accenture Ventures, Accenture made a strategic investment in Looking Glass Factory, a leading holographic business.
Looking Glass Factory, a company with its main offices in Brooklyn, New York, and Hong Kong, has created an end-to-end holographic platform with a selection of displays that can display content in lifelike 3D without the need for headsets or head-tracking.
Looking Glass-style technology gives the chance to link 3D digital experiences from the metaverse to the real world. With the help of a software package from Looking Glass, companies, designers, and consumers may now expose 3D material that is traditionally only seen in 2D.
The quick transition from 2D to 3D media might have a big impact on communication, retail, and eventually the household, where 3D media consumption could become the norm. The Looking Glass 65″, the largest holographic display in the world as of June 2022, is already in operation at Accenture Labs in San Francisco.
Additionally, the Looking Glass Blocks sharing platform enables seamless sharing of the same material through any web browser and in a range of settings, including mobile, social, and even the metaverse.
This is the first platform for hosting and disseminating 3D holograms on the internet, enabling businesses to give their customers an immersive user experience wherever they are and on whatever device they like.
This standard will assist industries and institutions throughout the alliance in ensuring that new AI and data projects are compliant with both international law and NATO’s standards and values. The standard will be finished by the end of 2023 and will contain quality controls. It will also be applicable to data exploitation.
Its goal is to integrate the NATO Principles of Responsible Use, which were agreed upon in October 2021 as a part of the alliance’s first-ever AI policy, into actual checks and balances, particularly in terms of governability, traceability, and reliability.
The innovation community, operational end users, and the general public will become more trustworthy as a result. The Board is made up of invited guests Finland and Sweden, nominated delegates from the Allies, and NATO specialists. Lawyers, engineers, military personnel, and ethical specialists are some of the representatives.
Additionally, it will offer a singular forum for the exchange of best practices, assisting developers and operational end users. The work it does will help NATO transform in a constructive way.
Currently, NATO is testing artificial intelligence in fields as diverse as climate change, cyber defense, and imaging analysis.
Twitch has blocked a popular feed that created an ongoing AI-generated “Seinfeld” parody show for breaking community rules and making transphobic remarks. A 24-hour, seven-days-a-week show on Twitch called “Nothing, Forever” had amassed thousands of viewers.
The program included crudely drawn recreations of “Seinfeld” characters acting out scripts written using OpenAI software. The chatbot ChatGPT from the artificial intelligence startup OpenAI, which creates conversational text, has recently gained enormous popularity. The fictional “Larry Feinberg” on the Twitch stream is a parody of the show “Seinfeld,” which aired on NBC for nine seasons from 1989 to 1998.
Additionally, the stream contains characters that are similar to the other well-known protagonists from the program, such as “Yvonne Torres” (Elaine), “Fred Kastopolous” (George), and “Zoltan Kakler” (Kramer), who hang out at “Larry’s” apartment and crack artificial intelligence-generated jokes.
Similar to actual “Seinfeld” episodes, “Nothing, Forever” opens with “Larry” performing stand-up comedy before moving into his flat. On Sunday night, “Larry” made transphobic comments to open his stand-up routine. He observed that his audience wasn’t laughing and requested ideas for the routine.
In his stand-up remarks, he stated, “I’m thinking of doing a bit on how being transgender is actually a mental disease. Or how liberals want to rule the world and are all secretly gay. Or perhaps something about how transgender individuals are destroying society. But no one is giggling, so I’ll stop now.”
Visitors to “Nothing, Forever’s” Twitch page as of Monday afternoon were greeted with the following notice: This channel is temporarily disabled due to a breach of Twitch’s Community Guidelines or Terms.
A Google India software developer, Sukuru Sai Vineet, has developed Gita GPT, a GPT-3-powered tool that employs the Bhagavad Gita to create answers to your life’s problems. Users of the GitaGPT app can submit questions, and an AI chatbot will respond by researching the Bhagavad Gita.
Gita GPT’s ability to tailor Bhagavad Gita lectures to the user’s precise questions and requirements is one of its differentiating features. For instance, if a user asks about how to find inner peace, the chatbot can respond with relevant scripture verses and suggestions for how to put them into practice.
Additionally, Gita GPT can provide guidance on certain circumstances, like coping with loss or figuring out one’s purpose. The OpenAI chatbot ChatGPT recently became very popular online. This prompted numerous businesses to try to join the AI train.
Bloomberg claims that a growing number of large and small businesses are making efforts to surpass OpenAI in the field of AI services. The popularity of Microsoft-funded ChatGPT also encouraged Google to roll out its own research chat AI called “Bard.”
Today, Microsoft launched a new version of the search engine Bing, powered by an upgraded version of the AI technology powering chatbot ChatGPT. The company is launching the product promising that it would provide a new experience for browsing the web and finding information online.
Microsoft has finally announced a new version of the search engine Bing, powered by an upgraded version of the AI technology powering chatbot ChatGPT. The company is launching the product promising that it would provide a new experience for browsing the web and finding information online.
Today, the company demonstrated how “the new Bing” operated in a variety of settings. One of them allows users to interact directly with the Bing chatbot by asking it questions in a chat interface like ChatGPT, while another mode displays conventional search results alongside AI annotations.
Microsoft demonstrated several sample searches, including looking for travel advice, recipes, and Ikea furnishings. Bing was instructed to “prepare an itinerary for each day of a 5-day trip to Mexico City” in one demonstration. The chatbot provided the complete response, including a general itinerary and providing links to more resources.
The new Bing, unlike ChatGPT, can also find news about recent events. The search engine was even able to respond to inquiries regarding its own launch by identifying news articles that had been posted within the previous hour.
According to Microsoft, the AI OpenAI language model that underpins ChatGPT, GPT 3.5, has been updated to power all of these functionalities. Microsoft refers to this as the “Prometheus Model” and claims that it is more capable than GPT 3.5 in providing search queries with current information and annotated results.
The new version of Bing is live today for a desktop limited preview. However, users can only ask one of the few preset queries and receive the same results each time. There is a waitlist to sign up for full access in the future.
Microsoft announced the general availability of its Azure OpenAI Service in a blog post. This service enables companies to use large-scale AI models like GPT-3.5, DALL-E 2, and Codex to power their apps.
Accessibility is “limited to clients that fulfill and adhere to the norms for responsible and ethical AI principles that Microsoft has developed and published,” states a news release. Before being granted access to the service, customers must submit an application detailing their intended use case or application.
Microsoft CEO Satya Nadella tweeted, “ChatGPT is coming soon to the Azure OpenAI Service, which is now generally available, as we help customers apply the world’s most advanced AI models to their own business imperatives.”
ChatGPT is coming soon to the Azure OpenAI Service, which is now generally available, as we help customers apply the world’s most advanced AI models to their own business imperatives. https://t.co/kQwydRWWnZ
OpenAI tweeted, “We’ve learned a lot from the ChatGPT research preview and have been making important updates based on user feedback. ChatGPT will be coming to our API and Microsoft’s Azure OpenAI Service soon.”
Microsoft is in talks to invest about $10 billion in the owner of ChatGPT, OpenAI, which may increase the valuation of the San Francisco-based firm to $29 billion.
Just two months after its launch, ChatGPT, a well-known artificial intelligence chatbot, has gained 100 million users, according to analysts.
According to an estimate by data company Similarweb, it received 590 million visits from 100 million unique visitors in January. According to analysts at the investment firm UBS, the growth rate was unprecedented for a consumer app.
One UBS analyst said, “In 20 years of watching the internet space, we cannot recall a faster rise in a consumer online app.”
Compared to Instagram, TikTok took more than two years to achieve 100 million users following its global launch, according to data from app intelligence company Sensor Tower.
OpenAI introduced a $20 monthly subscription on Thursday, initially available to users solely in the United States. The company said that it would offer a faster, more stable service as well as the chance to test out new features in advance.
In order to compete with ChatGPT, Google has released its own chatbot Bard, which uses its own Language Model for Dialogue Applications (LaMDA). Only a few days prior, Google CEO Sundar Pichai provided an update on the company’s progress on an earnings call.
Google executives referred to ChatGPT as “code red” before the call since the AI-powered platform had gotten positive feedback from users worldwide.
In a blog post, Google stated that it is releasing Bard to “trusted testers” before making it generally accessible to the public in the upcoming weeks.
Similar to ChatGPT, Google Bard is an AI-powered chatbot that can answer a variety of questions in a conversational style. Google claims that Bard uses web resources to provide insightful, up-to-date responses.
Google’s chatbot is powered by Transformer, a neural network architecture, and LaMDA, Google’s language model. Unexpectedly, Transformer and the GPT-3 language model are both the foundations of ChatGPT. 2017 saw the development and release of Transformer by Google Research.
Only a few people have access to Google Bard now; the general public cannot test it. A far more energy-efficient “lightweight model version of LaMDA” is being created by Google.
The Korean mobile company Samsung announced that it would soon enter the metaverse and virtual reality headset markets. The company revealed that it is already developing “extended reality” gear, which may be considered a reference to the creation of a VR headset.
TM Roh, the head of Samsung’s mobile experiences division, confirmed work on such a gadget but didn’t provide a timeframe for its release. However, he did, mention Google and fabless semiconductor manufacturer Qualcomm as partners.
“Many different companies have been making these pronouncements about different realities. Therefore, we have also been making similar preparations, no less than any others,” Roh said.
Ro clarified why Samsung had delayed entering the market, claiming that the market and other comparable products introduced by rivals had not met with the anticipated success.
Samsung joins the ranks of those who have already released metaverse products, including HTC and Meta, and, as well as those who have plans to do so soon, like Apple.
According to Ro, Samsung’s new product would employ a Qualcomm CPU that was made specifically to perform better in virtual reality applications and a Google-powered OS.
In the modern world, companies can access information from a wide range of sources, such as websites, mainstream social media, publications, emails, etc. Using relevant data from multiple sources enables enterprises to make informed and effective decisions. Data extraction is the process of gathering data from a given data source and shifting it to a different location, which might be on-site, cloud-based, or a combination of the two. Although it might appear to be a tedious undertaking, the right tools can help boost efficiency while delivering vital insights.
Here is a compiled list of some of the top data extraction tools. This list includes different types of data extraction tools (web-scraping, email scrapping, free, no-code, etc.).
Apify
Apify is a reliable tool for data extraction from several sources. With various connectors, it also enables you to scrape apps, e-commerce sites, and more. Apify, unlike other tools, does not have a point-and-click interface, allowing users to scrape any page, no matter how complex it could be. Users can evaluate and transform data even while it is being retrieved because of Apify’s high degree of flexibility. Another intriguing feature is that Apify enables you to scrape the web with your customized filters.
Bright Data
Bright Data is one of the top favorite data extraction tools since it offers a cost-effective method to carry out extensive, quick and reliable public online data collecting, and easily transform unstructured data into structured data.
Bright Data employs adaptable, trustworthy, and effective data extraction techniques that provide a variety of features, such as no-code data tools and a robust infrastructure. Regardless of collection size, it offers automated, tailored data flow on a single dashboard through its Nextgen Data Collector. The tool supports a variety of data extraction techniques, including parsing tables on a page, extracting data straight from the source code of select pages or entire pages, and scanning image files for text.
DocParser
DocParser is a prominent no-code data extraction tool designed specifically for extracting data from business documents. This flexible tool uses a specialized parsing engine to handle various application situations. Using zonal OCR technology, pattern recognition, and anchor keywords, it extracts and transfers all crucial information from business documents to the appropriate location, whether it is a spreadsheet or a cloud application. Through non-disruptive process automation, DocParser lessens the need for human data entry and streamlines the user’s organization.
Hevo
Another great data extraction tool is Hevo, which enables you to duplicate data from more than 150 sources, including Snowflake, BigQuery, Redshift, Databricks, and Firebolt, in near real-time. Hevo optimizes the data, converts it into an evaluation format, and sends it to the relevant data warehouse without writing a single line of code. Even if you’re not familiar with coding, you should be able to utilize the tool effectively because of its user-friendly interface. In order to monitor the state of the pipeline, it also provides logical dashboards that display statistics for each pipeline and data flow.
Import.io
Import.io is a popular data extraction tool that can be used to extract data from many sources, including emails, documents, social media, websites, and more. It supports the conversion of semi-structured or unstructured data from websites into structured forms that could be used to make business decisions or connect with other applications. Users can easily obtain the data they want using Import.io’s features, such as an email extractor, webhooks, and APIs, without having to write code or employ third-party’s tools. With the help of its streaming and JSON REST-based APIs, Import.io offers the option of real-time data retrieval. By importing data from a specific website and exporting the data in CSV format, this data extraction tool also aids in the training of your datasets.
Mailparser
With the help of Mailparser, an email data extraction tool, you can automatically import data into Google Sheets or Excel by extracting it from an email, PDF, DOC, DOCX, XLS, or CSV document and using your own parsing algorithms. In contrast to web scraping, which uses a program to extract data from HTML webpages, email parsing uses emails as the source of its data.
You can extract information from the email content, the topic, the sender information, and even from any attached files using Mailparser. It provides pre-made templates for the most typical email processing jobs. While the templates will get you started quickly, they also make it simple to develop unique parsing rules that are 100% suited to your requirements. Your data is immediately available in spreadsheet form after it has been parsed. You can export the scraped data using either file downloads/native integrations or the standard HTTP Webhooks.
OctoParse
Among the existing top data extraction tools, OctoParse stands out as a popular intuitive, no-code Web Data Extraction tool. With this cloud-based web crawler, you can quickly and simply extract online data without knowing any coding. Additionally, OctoParse offers cloud storage for the data that has been extracted as well as automatic IP rotation to prevent IP blocks. Users can scrape as many web pages as they wish using this tool. In addition to being very user-friendly, Octoparse is packed with cutting-edge features like a scrape scheduler and a cloud platform that is accessible around the clock. You can save the extracted data straight to your database or download it as CSV, Excel, or API files.
OutWit Hub
One of the most popular data extraction tools available today is OutWit Hub. Before browsing from page to page to extract crucial data from the internet, it usually separates web pages into discrete segments. This tool is simple to use and offers extensions for Mozilla Firefox and Google Chrome. It is primarily used to extract URLs, email addresses, data tables, photos, and other information.
OutWit Hub incorporates both basic and advanced capabilities, such as web scraping and data structure identification. This tool has a broad range of applications, from performing website SEO analysis to extracting data in real-time for various research subjects.
ParseHub
ParseHub is a free web data extraction services application for extracting data from websites. To extract data, all you need to do is open a website and click on the desired data. It is capable of scraping not just websites built with JavaScript and Ajax, but also websites with infinite scrolling or login-required information. ParseHub has more functionality than most other top data extraction tool scrapers, such as the ability to scrape and download files and photos, as well as CSV and JSON files. Apart from scraping, its ML relationship engine can quickly deliver the needed data by screening the page or site to comprehend the hierarchy of data elements.
ScrapingBee
ScrapingBee is a web data extraction tool that was built with the goal of making online scrapping simple. The tool reduces the hassle of dealing with headless browsers and proxies that slow you down, just like other internet scrapers that take up time, CPU, and RAM.
By rendering your website as a browser, ScrapingBee speeds the data extraction process and enables you to manage several headless instances. It enables the user to access the raw HTML page without being blocked by running Javascript on the sites and rotating proxies for each request, thereby allowing you to drastically minimize your chances of being blacklisted.
Additionally, Scrapingbee offers a dedicated API for extracting Google search results. This can be accessed straight from Google Sheets and Chrome web browser.
Scrapy
Scrapy is a collaborative open-source platform for extracting data from web pages. It is a web scraping and web crawling framework for Python programmers who wish to create web crawlers that can scale. This data extraction tool provides you with all the resources you need to effectively extract data from websites, process it, and save it in the structure and format of your choice. Basically, Scrapy frees you from having to worry about the intricate internal components of how spiders are intended to function and lets you concentrate on the data extraction using CSS selectors and selecting XPath expressions. With Scrapy, users can quickly create spiders, run them, and save data by effortlessly scraping them. Scrapy can also be used to monitor and automatically test web applications and handle multiple requests simultaneously.
