Google has released a research paper on a new text-to-image generator called Imagen, which combines the power of large transformer language models for text with the capabilities of diffusion models in high-fidelity image generation. “Our key discovery is that generic large language models (e.g. T5), pretrained on text-only corpora, are surprisingly effective at encoding text for image synthesis,” the company said. Simultaneously, Google is introducing DrawBench, a benchmark for text-to-image models it says was used to compare Imagen with other recent technologies including VQGAN+CLIP, latent diffusion models, and OpenAI’s DALL-E 2. Continue reading Google’s Imagen AI Model Makes Advances in Text-to-Image

OpenAI has created a new technology that creates and edits images based on written descriptions of the desired result. DALL-E 2, an homage to the surrealist painter Salvador Dalí and the Pixar film “Wall-E,” is still in development but is already producing impressive results with simple instructions like “kittens playing chess” and “astronaut riding a horse.” OpenAI says the tech, “isn’t being directly released to the public” and the hope is “to later make it available for use in third-party apps. “Already some are expressing worry that such a tool has potential to exponentially increase the use of deepfakes. Continue reading DALL-E 2 by OpenAI Creates Images Based on Descriptions

Nvidia CEO Jensen Huang announced a host of new AI tech geared toward data centers at the GTC 2022 conference this week. Available in Q3, the H100 Tensor Core GPUs are built on the company’s new Hopper GPU architecture. Huang described the H100 as the next “engine of the world’s AI infrastructures.” Hopper debuts in Nvidia DGX H100 systems designed for enterprise. With data centers, “companies are manufacturing intelligence and operating giant AI factories,” Huang said, speaking from a real-time virtual environment in the firm’s Omniverse 3D simulation platform. Continue reading Nvidia Introduces New Architecture to Power AI Data Centers

A new AI revolution is underway, turning people who know little about coding into developers. Called “no code,” startups are emerging to productize this new category, which essentially lets people use familiar, clickable web interfaces and even natural language to automate tasks or create simple applications, while machine learning takes over the rest. Proponents predict it will be a game-changer, powering a brigade of “citizen developers” to leverage artificial intelligence without knowing how to write code. Startups entering the space include Juji, which makes creating AI chatbots as easy as programming PowerPoint. Continue reading No-Code AI and Prediction Tools Bring Coding to the People

Advances in language comprehension for artificial intelligence are issuing from San Francisco’s OpenAI and London-based DeepMind. OpenAI, which has been working on large language models, says it now lets customers fine-tune its GPT-3 models using their own custom data, while the Alphabet-owned DeepMind is talking-up Gopher, a 280-billion parameter deep-learning language model that has scored impressively on tests. Sophisticated language models have the ability to comprehend natural language, as well as predict and generate text, requirements for creating advanced AI systems that can dispense information and advice or that are required to follow instructions. Continue reading Advances by OpenAI and DeepMind Boost AI Language Skills

OpenAI’s Codex, an AI system that translates natural language into code, was released via an API in private beta. Codex, trained on billions of lines of public code, can turn plain English commands into 12+ programming languages and also powers GitHub service Copilot that suggests whole lines of code within Microsoft Visual Studio and other development environments. OpenAI explained that Codex will be offered for free during an “initial period,” and invites “businesses and developers to build on top of it through the API.”

Continue reading OpenAI Debuts Tool to Translate Natural Language into Code

OpenAI unveiled a $100 million OpenAI Startup Fund to fund early-stage companies pursuing ways that AI can have a “transformative” impact on healthcare, education, climate change and other fields. OpenAI chief executive Sam Altman said the Fund will make “big, early bets” on no more than 10 such companies. OpenAI, with funding from Microsoft and others, will manage the Fund. Selected projects will get “early access” to future OpenAI systems, support from OpenAI’s team and credits for Microsoft Azure. Continue reading OpenAI and Microsoft Introduce $100 Million AI Startup Fund

OpenAI’s GPT-3, the much-noted AI text generator, is now being used in 300+ apps by “tens of thousands” of developers and generating 4.5 billion words per day. Meanwhile, a collective of researchers, EleutherAI is building transformer-based language models with plans to offer an open source, GPT-3-sized model to the public for free. The non-profit OpenAI has an exclusivity deal with Microsoft that gives the tech giant unique access to GPT-3’s underlying code. But OpenAI has made access to its general API available to all comers, who then build services on top of it. Continue reading OpenAI and EleutherAI Foster Open-Source Text Generators

OpenAI’s natural language processing (NLP) model GPT-3 offers 175 billion parameters, compared with its predecessor, GPT-2’s mere 1.5 billion parameters. The result of GPT-3’s immense size has enabled it to generate human-like text based on only a few examples of a task. Now, many users have gained access to the API, and the result has been some interesting use cases and applications. But the ecosystem is still nascent and how it matures — or whether it’s superseded by another NLP model — remains to be seen. Continue reading GPT-3: New Applications Developed for OpenAI’s NLP Model

Two CES 2021 panels addressed the current state and anticipated advances in quantum computing, which is already being applied to problems in business, academia and government. However, the hardware is not as stable and robust as people would like, and the algorithms are not yet up to the task to solve the problems that many researchers envision for them. This has not stopped entrepreneurs, major corporations and governments from dedicated significant resources in R&D and implementations, nor from VCs and sovereign funds making major bets on who the winners will be. Continue reading CES: Sessions Examine the Potential of Quantum Computing

OpenAI unveiled DALL-E, which generates images from text using two multimodel AI systems that leverage computer vision and NLP. The name is a reference to surrealist artist Salvador Dali and Pixar’s animated robot WALL-E. DALL-E relies on a 12-billion parameter version of GPT-3. OpenAI demonstrated that DALL-E can manipulate and rearrange objects in generated imagery and also create images from scratch based on text prompts. It has stated that it plans to “analyze how models like DALL·E relate to societal issues.” Continue reading OpenAI Unveils AI-Powered DALL-E Text-to-Image Generator

To fully examine the inner workings and potential impact of deep learning language model GPT-3 on media, ETC’s project on AI & Neuroscience in Media is hosting a virtual event on November 10 from 11:00 am to 12:15 pm. RSVP here to join moderator Yves Bergquist of ETC@USC and presenter Dr. Mark Riedl of Georgia Tech as they present, “Machines That Can Write: A Deep Look at GPT-3 and its Implications for the Industry.” The launch last June of OpenAI’s GPT-3, a language model that uses deep learning to generate human-like text, has raised many questions in the creative community and the world at large.  Continue reading Virtual Event: GPT-3 and Its Implications for the M&E Industry

Microsoft struck a deal with AI startup OpenAI to be the exclusive licensee of language comprehension model GPT-3. According to Microsoft EVP Kevin Scott, the deal is an “incredible opportunity to expand our Azure-powered AI platform in a way that democratizes AI technology.” Among potential uses are “aiding human creativity and ingenuity in areas like writing and composition, describing and summarizing large blocks of long-form data (including code), converting natural language to another language.” Continue reading Microsoft Inks Deal with OpenAI for Exclusive GPT-3 License

In the not-so-distant future there will likely be services that allow the user to choose plots, characters and locations that are then fed into an AI-powered transformer with the result of a fully customized movie. The idea of using generative artificial intelligence to create content goes back to 2015’s computer vision program DeepDream, thanks to Google engineer Alexander Mordvintsev. Bringing that fantasy closer to reality is the AI system GPT-3 that creates convincingly coherent and interactive writing, often fooling the experts. Continue reading AI-Powered Movies in Progress, Writing Makes Major Strides

OpenAI’s Generative Pre-trained Transformer (GPT), a general-purpose language algorithm for using machine learning to answer questions, translate text and predictively write it, is currently in its third version. GPT-3, first described in a research paper published in May, is now in a private beta with a select group of developers. The goal is to eventually launch it as a commercial cloud-based subscription service. Its predecessor, GPT-2, released last year, was able to create convincing text in several styles. Continue reading Beta Testers Give Thumbs Up to New OpenAI Text Generator