Google has been working to marry its new-found focus on generative AI with its existing expertise in search since mid-May, as part of Search Lab's Google Search Generative Experience (SGE) project. On Wednesday, the company announced that the SGE program is expanding beyond America's digital borders and into both the Japanese and Indian marketplaces. SGE is Google's answer to Microsoft's Bing AI and is designed to provide summarized and curated answers to input prompts rather than a list of webpages. Google's system differs from Microsoft's in that it incorporates its AI directly into the existing search bar rather than run it as a separate chatbot assistant. The company began expanding access to the SGE program in late May for US users and, this week, rolled out Search Labs to users in India and Japan.

We present a general framework for unsupervised text style transfer with deep generative models. The framework models each sentence-label pair in the non-parallel corpus as partially observed from a complete quadruplet which additionally contains two latent codes representing the content and style, respectively. These codes are learned by exploiting dependencies inside the observed data. Then a sentence is transferred by manipulating them. Our framework is able to unify previous embedding and prototype methods as two special forms. It also provides a principled perspective to explain previously proposed techniques in the field such as aligned encoder and adversarial training. We further conduct experiments on three benchmarks. Both automatic and human evaluation results show that our methods achieve better or competitive results compared to several strong baselines.

Another ChatGPT rival is out in the wild. Baidu has made ERNIE Bot, its generative AI product and large language model, generally available to the public through various app stores and its website. Alongside ERNIE (Enhanced Representation through Knowledge Integration), the company plans to release a string of AI apps it says will allow folks "to fully experience the four core abilities of generative AI: understanding, generation, reasoning, and memory." Opening up ERNIE Bot (which is focused on the Chinese market) to the public will enable Baidu to obtain much more human feedback, according to CEO Robin Li. The company notes that this will help it iterate on ERNIE Bot more quickly and improve the user experience. Baidu announced the chatbot back in March, demonstrating capabilities such as summarizing a sci-fi novel and offering suggestions on how to continue the story in an expanded universe.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Tech giant Baidu on Wednesday received approval by Chinese authorities to launch its artificial intelligence Ernie Bot to the general public starting Aug. 31, a spokesperson told Reuters. Baidu became the first company to receive such approval after regulatory setbacks and is also set to launch a suite of new AI-native apps. The company has been embedding Ernie, which resembles OpenAI's ChatGPT, into its search engine and other products, allowing many of them to gain market share while waiting for Chinese regulators' approval.

Venture investors are realizing that generative artificial intelligence might not be enough to stem yearslong startup downturn

Europe wants its own Open AI. The bloc's politicians are sick of regulating American tech giants from afar. They want Europe to build its own generative AI, which is why so many people are rooting for Jonas Andrulis, an easy-going German with a carefully pruned goatee. Ask people within Europe's tech bubble which AI companies they're excited about and the names that come up most are Mistral, a French startup that has raised $100 million without releasing any products, and the company Andrulis founded, Aleph Alpha, which sells generative AI as a service to companies and governments and already has thousands of paying customers. Skeptics in the industry question whether the company can really compete in the same league as Google and OpenAI, whose ChatGPT launched the current boom in generative AI.

Alphabet's Google is adding artificial intelligence tools from companies including Meta Platforms and Anthropic to its cloud platform, weaving more generative AI into its products and positioning itself as a one-stop shop for cloud customers seeking to tap into the technology. Google's cloud clients will be able to access Meta's Llama 2 large language model, as well as AI startup Anthropic's Claude 2 chatbot, to customize with enterprise data for their own apps and services. The move, announced Tuesday at Google's Next '23 event in San Francisco, is part of the company's effort to position its platform as one where customers have the freedom to choose an AI model that best meets their needs, whether from the company itself or one of its partners. More than 100 powerful AI models and tools are now available to Google Cloud clients, the company said. The company also announced wider availability of its Duet AI product for customers of its Workspace productivity suite, with access for the public to follow later this year.

Since their inception in 2014, Generative Adversarial Networks (GANs) have rapidly emerged as powerful tools for generating realistic and diverse data across various domains, including computer vision and other applied areas. Consisting of a discriminative network and a generative network engaged in a Minimax game, GANs have revolutionized the field of generative modeling. In February 2018, GAN secured the leading spot on the ``Top Ten Global Breakthrough Technologies List'' issued by the Massachusetts Science and Technology Review. Over the years, numerous advancements have been proposed, leading to a rich array of GAN variants, such as conditional GAN, Wasserstein GAN, CycleGAN, and StyleGAN, among many others. This survey aims to provide a general overview of GANs, summarizing the latent architecture, validation metrics, and application areas of the most widely recognized variants. We also delve into recent theoretical developments, exploring the profound connection between the adversarial principle underlying GAN and Jensen-Shannon divergence, while discussing the optimality characteristics of the GAN framework. The efficiency of GAN variants and their model architectures will be evaluated along with training obstacles as well as training solutions. In addition, a detailed discussion will be provided, examining the integration of GANs with newly developed deep learning frameworks such as Transformers, Physics-Informed Neural Networks, Large Language models, and Diffusion models. Finally, we reveal several issues as well as future research outlines in this field.

It's no secret that filters can transform us into almost anything - whether it be a dog or a dancing hotdog. But Snapchat has now taken this up a notch, with the launch of a new tool that uses artificial intelligence (AI) to completely reimagine your photographs. The so-called'Dreams' feature will allow users to create fantasy-themed AI selfies in just a few taps - and the results are unbelievably realistic. Deep-sea mermaids and Renaissance-era royals are among the initial pack of eight complimentary Dreams that can be created, while others start at $0.99. The AI tool will be launched first in Australia and New Zealand, before making its way to other Snapchatters across the globe in a couple of weeks.

Snapchat has added a new generative AI feature to its app. Called "Dreams," it's in some ways similar to the company's signature AR effects, known as lenses. But instead of real-time camera-based effects, the feature uses generative AI to remix users' selfies into "fantastical images that transform their persona into new identities." The feature, which can be found in the app's "memories" section, begins by asking users to take selfies showing their face at different angles. The app will then creates a series of eight images based on themes like "time travel" or "alternate universes."