Text-guided image editing can have a transformative impact in supporting creative applications. A key challenge is to generate edits that are faithful to input text prompts, while consistent with input images. We present Imagen Editor, a cascaded diffusion model built, by fine-tuning Imagen on text-guided image inpainting. Imagen Editor's edits are faithful to the text prompts, which is accomplished by using object detectors to propose inpainting masks during training. In addition, Imagen Editor captures fine details in the input image by conditioning the cascaded pipeline on the original high resolution image. To improve qualitative and quantitative evaluation, we introduce EditBench, a systematic benchmark for text-guided image inpainting. EditBench evaluates inpainting edits on natural and generated images exploring objects, attributes, and scenes. Through extensive human evaluation on EditBench, we find that object-masking during training leads to across-the-board improvements in text-image alignment -- such that Imagen Editor is preferred over DALL-E 2 and Stable Diffusion -- and, as a cohort, these models are better at object-rendering than text-rendering, and handle material/color/size attributes better than count/shape attributes.

AI developers have "no excuse" for getting data privacy wrong, one of the heads of the UK's data regulator has said, warning those who don't follow the law on data protection will face consequences. The Information Commissioner's Office (ICO) enforces data protection in the UK. Speaking amid the explosion of interest in generative AI, especially Large Language Models like the one that powers OpenAI's ChatGPT, Stephen Almond, the ICO's executive director of regulatory risk, warned LLMs posed a risk for data security. Writing in a blog post, he argued it is time to "take a step back and reflect on how personal data is being used". He noted that Sam Altman, the CEO of ChatGPT creator OpenAI, has himself declared his own worries about AI advances and what they could mean.

Fox News correspondent Matt Finn has the latest on the impact of AI technology that some say could outpace humans on'Special Report.' China on Tuesday revealed its proposed assessment measures for prospective generative artificial intelligence (AI) tools, telling companies they must submit their products before launching to the public. The Cyberspace Administration of China (CAC) proposed the measures in order to prevent discriminatory content, false information and content with the potential to harm personal privacy or intellectual property, the South China Morning Press reported. Such measures would ensure that the products do not end up suggesting regime subversion or disrupting economic or social order, according to the CAC. A number of Chinese companies, including Baidu, SenseTime and Alibaba, have recently shown of new AI models to power a number of applications from chatbots to image generators, prompting concern from officials over the impending boom in use.

Artificial Intelligence poses both risks and rewards, but developers should be weary of technologies that could threaten "scary" outcomes, AI technologist says. China's cyberspace watchdog unveiled a draft proposal Tuesday for how to manage generative artificial intelligence services ahead of a public release, Reuters reported. The Cyberspace Administration of China (CAC) said that content from generative AI services must align with the country's core socialist values. Generative AI's are bots that aim to create new things by consulting their existing body of data. In this photo illustration, SenseTime logo is seen displayed on a smartphone and a PC screen.

More than a month after hiring a couple of former DeepMind researchers, Twitter is reportedly moving forward with an in-house artificial intelligence project. According to Business Insider, Elon Musk recently bought 100,000 GPUs for use at one of the company's two remaining data centers. A source told the outlet the purchase shows Musk is "committed" to the effort, particularly given the fact there would be little reason for Twitter to spend so much money on datacenter-grade GPUs if it didn't plan to use them for AI work. The project reportedly involves the creation of a generative AI that the company would train on its own massive trove of data. It's unclear how Twitter would utilize the technology.

Fox News correspondent Matt Finn has the latest on the impact of AI technology that some say could outpace humans on'Special Report.' Stanford researchers have leveraged generative artificial intelligence (AI) to create a simulated town comprising various characters, each with unique identities, memories and behaviors. The simulation, discussed at length in the new research paper "Generative Agents: Interactive Simulacra of Human Behavior," has been compared to an advanced version of the life simulation videogame "The Sims," as well as the HBO sci-fi series "Westworld." The latter tells the story of a theme park where robots are preloaded with storylines and personalities for wealthy human guests to interact with. Each day the robots are reset to their core tasks, but until then, they act like real humans, remembering their experiences, what people said to them and how they relate to the world around them.

Artificial Intelligence poses both risks and rewards, and developers should be weary of "scary" outcomes, AI technologist says. Artificial Intelligence will never be able to truly understand the feeling of some human emotions, a humane technologist told Fox News. "The more integrated AI gets into our lives, the more we will see a difference between human and computer," Alexa Eden, a humane technologist at AlgoAI Tech, told Fox News. "And one of these impenetrable differences will be human emotions, as well as empathy, intuition and other intelligences only humans have. "Empathy is not anything that AI will ever be able to really, truly understand.

We selected the name “Codex” as Leonardo da Vinci was the embodiment of the Renaissance ideal. His “Codex”, or notebooks, are a testament to his interest in a multitude of subjects and to visionary ideas which were centuries ahead of their time. Codex’s mission is to evoke a similar spirit of enlightenment by inspiring technology leaders and entrepreneurs to apply their collective imaginations to deliver technologies that will continue to transform our lives. Whilst the creativity of Leonardo da Vinci was captured in his notebooks, Codex shares the wisdom of today’s great innovators via Codex Talks and events.

A lot of what Conor Grennan does as a dean of students at NYU's Stern School of Business could be done at least in part by bots. Brainstorming and planning are prime examples of tasks that can be easily handled by generative AI tools like ChatGPT. But instead of feeling like he could be replaced by AI, Grennan has become an evangelist of this technology and its potential to make work better. He likens the opportunity to work with AI technology right now to finding material wealth. "It feels like the Gold Rush, like there's a bunch of people getting to California and seeing little flakes of gold in the river," he told Vox.

Artificial Intelligence (AI) has come a long way in recent years, with rapid advancements in machine learning, natural language processing, and deep learning algorithms. These technologies have led to the development of powerful generative AI systems such as ChatGPT, Midjourney, and Dall-E, which have transformed industries and impacted our daily lives. However, alongside this progress, concerns over the potential risks and unintended consequences of AI systems have been growing. In response, the concept of AI capability control has emerged as a crucial aspect of AI development and deployment. In this blog, we will explore what AI capability control is, why it matters, and how organizations can implement it to ensure AI operates safely, ethically, and responsibly.