Regie.ai, a startup using OpenAI's GPT-3 text-generating system to create sales and marketing content for brands, today announced that it raised $10 million in Series A funding led by Scale Venture Partners with participation from Foundation Capital, South Park Commons, Day One Ventures and prominent angel investors. The fresh investment comes as VCs see a growing opportunity in AI-powered, copy-generating adtech companies, whose tech promise to save time while potentially increasing personalization. Previously a software engineer at Google and Meta, Sridhar is a data scientist by trade, having developed enterprise-scale AI systems that detect duplicate images and rank search results. Millen formerly was a VP at T-Mobile, leading the national sales teams (e.g., strategic accounts and public sector). With Regie, Sridhar says he and Millen aimed to create a way for companies to communicate with their customers via channels like email, social media, text, podcasts, online advertising and more.

You no longer need to join a queue to try OpenAI's well-known image generator. The company has dropped the waiting list for the DALL-E beta, making the technology available to everyone. If you want to create art, you just have to sign up (if you can get past the authentication glitch that exists as we write this) and start describing the pieces you'd like to produce. The wider release comes after OpenAI both expanded DALL-E's features (such as "Outpainting" to expand beyond original image borders) and, importantly, some crucial safeguards. The firm claims it has "more robust" abilities to filter out policy-violating content, including some depictions of sexuality and violence.

Since April, DALL-E has triggered an explosion of images generated using artificial intelligence. But the technology is spreading faster than creators can shape norms around its use.

Studio Angel 1111 & "A Monk's Art" create this Buddhist Art Collection using Deep Dreaming algorithms and neural network color grading. All background images are AI generated. In the event that the piece is resold, these artworks are sold on secondary markets at a 2% royalty. These funds will be used to assist two monks with their spiritual studies.

AI has played a role in overcoming COVID especially in drug discovery and other related areas in fighting the pandemic. AI investment in drug design and drug discovery has increased significantly The percentage of graduates undertaking a PhD in AI has increased There is a big uptake in generative AI in the ability to compose text, audio, and images to a sufficiently high standard that humans have a hard time telling the difference between synthetic and non-synthetic outputs for some constrained applications of the technology. AI has a diversity challenge China overtakes the US in AI journal citations After surpassing the US in the total number of journal publications several years ago, China now also leads in journal citations; however, the US has consistently (and significantly) more AI conference papers (which are also more heavily cited) than China over the last decade. Surveillance technologies are fast, cheap, and increasingly ubiquitous The technologies necessary for large-scale surveillance are rapidly maturing, with techniques for image classification, face recognition, video analysis, and voice identification all seeing significant progress in 2020. AI ethics lacks benchmarks and consensus Though a number of groups are producing a range of qualitative or normative outputs in the AI ethics domain, the field generally lacks benchmarks that can be used to measure or assess the relationship between broader societal discussions about technology development and the development of the technology itself.

We live in exciting times where every week, we have announcements on cutting-edge technology. A few months ago, OpenAI dropped state of the art text-to-image model DALL·E 2. Only a few people got early access to experience a new AI system that can create realistic images from a description using natural language. It is still closed to the public. A few weeks later, Stability AI launched the open-source version of DALLE2 called the Stable Diffusion model. This launch has changed everything. As people all over the internet were posting prompt results and getting amazed by realistic art.

Creative artificial intelligence is the latest and, in some ways, most surprising and exhilarating art form in the world. It also isn't fully formed yet. That tension is causing some confusion. If you're familiar at all with the use of creative artificial intelligence, you probably know it through one of the popular text-to-image AI applications, which use sprawling databases of existing imagery to convert a written prompt into a new picture. DALL-E 2 from OpenAI is the best known, but more recent and arguably cooler applications include Midjourney and Stable Diffusion.

The DALL-E 2 AI generated this image when given the prompt "Teddy bears working on new AI research underwater with 1990s technology" The worries come from the fact that the AIs hoover up vast amounts of human-generated art to train themselves and use this database of knowledge to generate photorealistic images related to almost any text prompt.

The massive virtual worlds created by growing numbers of companies and creators could be more easily populated with a diverse array of 3D buildings, vehicles, characters and more -- thanks to a new AI model from NVIDIA Research. Trained using only 2D images, NVIDIA GET3D generates 3D shapes with high-fidelity textures and complex geometric details. These 3D objects are created in the same format used by popular graphics software applications, allowing users to immediately import their shapes into 3D renderers and game engines for further editing. The generated objects could be used in 3D representations of buildings, outdoor spaces or entire cities, designed for industries including gaming, robotics, architecture and social media. GET3D can generate a virtually unlimited number of 3D shapes based on the data it's trained on.

OpenAI has released the best automatic speech recognition model yet: Whisper is open source and could hold the key to GPT-4.