For years, fears about the disruptive potential of automation and artificial intelligence have centered on repetitive labor: Perhaps machines could replace humans who do secretarial work, accounting, burger-flipping. Doctors, software engineers, authors--any job that requires creative intelligence--seemed safe. But the past few months have turned those narratives on their head. A wave of artificial-intelligence programs, collectively dubbed "generative AI," have shown remarkable aptitude at using the English language, competition-level coding, creating stunning images from simple prompts, and perhaps even helping discover new drugs. In a year that has seen numerous tech hype bubbles burst or deflate, these applications suggest that Silicon Valley still has the power to, in subtle and shocking ways, rewire the world.

Welcome to insideBIGDATA's annual technology predictions round-up! The big data industry has significant inertia moving into 2023. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an exciting ride. There are many reasons why a customer would choose to implement their architecture on multiple clouds whether it's technology, market, or business-driven. When this happens, many times this leads to transactional and operational data being stored on multiple cloud platforms. The challenge this brings is how to gain insight into these without resorting to implementing multiple disparate data platforms. Historically data virtualization tools have been ...

ChatGPT is a prototype artificial intelligence chatbot developed by OpenAI which specializes in dialogue. The chatbot is a large language model fine-tuned with both supervised and reinforcement learning techniques. It is based on OpenAI's GPT-3.5 model, an improved version of GPT-3. ChatGPT was launched on November 30, 2022 and has garnered attention for its detailed responses and articulate answers. I wanted to see what chatGPT has to say about the metaverse.

Image-generating AI models like DALL-E 2 and Stable Diffusion can -- and do -- replicate aspects of images from their training data, researchers show in a new study, raising concerns as these services enter wide commercial use. The study hasn't been peer reviewed yet, and the co-authors submitted it to a conference whose rules forbid media interviews until the research has been accepted for publication. But one of the researchers, who asked not to be identified by name, shared high-level thoughts with TechCrunch via email. "Even though diffusion models such as Stable Diffusion produce beautiful images, and often ones that appear highly original and custom tailored to a particular text prompt, we show that these images may actually be copied from their training data, either wholesale or by copying only parts of training images," the researcher said. "Companies generating data with diffusion models may need to reconsider wherever intellectual property laws are concerned. It is virtually impossible to verify that any particular image generated by Stable Diffusion is novel and not stolen from the training set."

Since OpenAI released ChatGPT last month, the text-based artificial intelligence tool has gone viral, attracting a million users in its first five …

OpenAI's ChatGPT was launched with significant hype by the artificial intelligence (AI) research laboratory on 30 November 2022 and surpassed the 1 million user mark in just six days.

As research into artificial intelligence (AI) continues its march forward, computers are becoming more and more human-like all the time. Making headlines of late has been the new ChatGPT, developed by OpenAI - an artificial intelligence research and deployment company that says its mission is "to ensure that artificial general intelligence benefits all of humanity." OpenAI already took the world by storm with its DALL-E project, which, using AI, created new images based on human input, such as: "show me an astronaut riding a horse." But now, ChatGPT is moving into the text-based world of AI, allowing users to carry on human-like conversations but with a (mostly) know-it-all computer that is ever-learning. Of course, we're all weather geeks here at FOX Weather, so I had to test its meteorological chops.

Venture capitalists are rushing to invest in artificial intelligence start-ups as growing hype around "generative AI" fills the void left by failing cryptocurrency and blockchain ventures. The recent leap in developments of sophisticated computer programs that can write scripts and create art in seconds has driven a surge of investor interest, creating a rare bright spot in a start-up landscape dominated by tumbling valuations and job cuts. OpenAI, a San Francisco-based company in which Microsoft is the largest funder, released the newest form of its GPT-3.5 software to the public last week, which can converse with users through text: answer follow-up questions, admit mistakes and reject inappropriate requests. In five days, ChatGPT surpassed 1mn users and was praised by billionaire Elon Musk, a co-founder of OpenAI who left the board in 2018, who tweeted: "ChatGPT is scary good. We are not far from dangerously strong AI."

It is an artificial intelligence (AI)-based app that enables you to interact with your data via natural language. After uploading a dataset, users ask questions about or request analyses in English. The app generates and runs R code to answer that question with plots and numeric results. The requests are structured and sent to OpenAI's advanced AI system, which returns R code. The R code is cleaned up and executed in a Shiny environment, showing results and error messages. Multiple requests are logged to produce an R Markdown file, which can be knitted into an HTML report.

Machine learning has come a long way since computer scientists began taking an interest in programming a computer to play chess in the 1940s. It was only in 1997 that IBM's Deep Blue supercomputer became the first machine to beat then-reigning world chess champion Gary Kasparov. Since then researchers have been finding ways to make artificial intelligence (AI) more sophisticated and smarter, which prompts the question: Are humans at risk of being replaced by AI? The future of "static" chatbots, the kind that everyone finds annoying because it gives a set of templated answers, may be a thing of the past, as researchers at OpenAI have trained a model dubbed ChatGPT to interact in a conversational manner. The AI research and deployment company claims that the dialogue-based AI chatbot can provide lengthy answers to various questions, write a song on any topic (try eggs), create slogans and even help to debug programs.