Google last week unpacked a host of critical new artificial intelligence (AI) advancements, particularly in the areas around generative AI such as language analysis, text-to-video, and assisted writing capabilities. Along with other enticing developments around ethical AI, Google revealed it would be working on AI in at least one thousand languages going forward. At the Google AI event held at the company's Pier 57 offices in New York City on November 2, the global technology titan highlighted areas of focus to include democratizing AI development pathways, "building for everyone" responsible, controlled models which can identify generative AI -- unsupervised artificial intelligence learning algorithms that can create new digital audio, text, imagery, video, or code -- along with advancing language translation, disaster management, and health AI. Google shared the first rendering of a video that shares both of the company's complementary text-to-video research approaches -- Imagen Video and Phenaki. The interest of global communities was piqued by the announcement that language abilities are being developed using AI for the world's one thousand most spoken languages, showcasing another major area of artificial intelligence focus as tech giants compete to dominate the internet's next battleground.

Burkina Faso is a multi-cultural and diverse country with a rich history. In this article, we explore how personal names can be interpreted to reflect regional, ethnic appartenance within the country. Then we illustrate how the use of a personal name can affect a black-box Artificial Intelligence – such as OpenAI's DALL-E. This is a first article in our series of blog posts with tag #thisnamedpersondoesnotexist.

The program, known as Copilot, was created in collaboration with GitHub Inc. and Microsoft Corp., both also named as defendants in the complaint filed Thursday in the US District Court for the Northern District of California. Copilot uses AI models to generate code that replicates publicly available code, but doesn't follow open-source licensing guidelines like attribution to the author, a notice of … The program, known as Copilot, was created in collaboration with GitHub Inc. and Microsoft Corp., both also named as defendants in the complaint filed Thursday in the US District Court for the Northern District of California. Copilot uses AI models to generate code that replicates publicly available code, but doesn't follow open-source licensing guidelines like attribution to the author, a notice of …

This year we've seen a dizzying number of breakthroughs in generative AI, from AIs that can produce videos from just a few words to models that can generate audio based on snippets of a song. Last week, Google held an AI event in its swanky, brand-new offices by the Hudson River in Manhattan. Your correspondent stopped by to see what the fuss was about. In a continuation of current trends, Google announced a slew of advances in generative AI, including a system that combines its two text-to-video AI models, Phenaki and Imagen. Phenaki allows the system to generate video with a series of text prompts that functions as a sort of script, while Imagen makes the videos higher resolution.

Large language models have continued to make progress in generating text and software code. At the same time, we've seen tremendous advances in text-to-image generators with the introduction of models such as DALL-E 2, Imagen, and Stable Diffusion. The year was also marked by an acceleration in productizing generative AI models. The science and technology of generative models are maturing to the point of being able to solve real problems. Now, companies like Microsoft and Google are looking for ways to take the lead in a newly shaping market that might change the future of creativity.

Join us on November 9 to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers at the Low-Code/No-Code Summit. Generative AI continues to be a focus across industries. With developments that transform simple text prompts into imagery, video and even 3D animation -- the technology opens up immense creative potential. Some of the excitement around generative AI is even surprising to Dave Rogenmoser, CEO of Jasper, one of the several companies now in the "text-to" space. He's confident that generative AI will "impact every tool out there," as its uses continue to progress.

世界最大級のクリエイティブプラットフォームとして写真＆動画編集ツールを提供する「Picsart」は、同社のアプリに人工知能（AI）技術を統合し、画像とコピーの生成ツールを追加した。この発表は、マイア

AI art has already proven itself to be pretty scary, for a number a reasons. Not only are image generators like DALL-E 2 capable of churning out some pretty nightmarish images, but there's also the ethical and existential question around what the rise of automated art might mean for artists. Leaving the latter question aside for now, here's some art that takes the idea of terrifying AI art to its logical conclusion. Digital agency Evoluted has submitted horror film-related keywords into an AI tool to create alternative posters for various classics – and the results are scarier than the originals. What to give it a go for yourself?

Stability AI, the venture-backed startup behind the text-to-image AI system Stable Diffusion, is funding a wide-ranging effort to apply AI to the frontiers of biotech. Called OpenBioML, the endeavor's first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. The company's founders describe OpenBioML as an "open research laboratory" -- and aims to explore the intersection of AI and biology in a setting where students, professionals and researchers can participate and collaborate, according to Stability AI CEO Emad Mostaque. "OpenBioML is one of the independent research communities that Stability supports," Mostaque told TechCrunch in an email interview. "Stability looks to develop and democratize AI, and through OpenBioML, we see an opportunity to advance the state of the art in sciences, health and medicine."

OpenAI just announced that beta access to the Dall-E2 API is now publicly available. Things are about to go crazy from here. But before that happens, let me share with you five awesome websites that are already using the Dall-E2 API. Playground AI is one of my personal favorites among a number of AI art generators.