Introduction
Honestly, the progress in AI is moving at such a rapid pace that keeping up with it all is quite a challenge. However, in this blog post, we will share with you what we believe are the most significant advancements from the past week. These include YouTube's new AI model called "aloud", Google's endless AI selfie generator, and DeepMind's Robocat. We will also discuss LinkedIn's fake image detector, as well as the AI Image Creators from Stable Diffusion in Adobe. To top it off, we'll be looking at Vimeo's AI editing tool designed for beginners and Energy Saver's intelligent strategy for reducing power bills. Let's jump right in!
YouTube's AI Model: Aloud
YouTube is testing a new AI tool called "aloud" that dubs videos into different languages, making it easier for creators to reach a global audience. Developed by Google's Area 120, aloud transcribes, translates, and dubs a video, which creators can review and customize. The tool was revealed at VidCon and is currently being tested with hundreds of creators. It supports English, Spanish, and Portuguese with plans for more languages in the future. YouTube aims to make the dubbed audio sound like the creator's original voice, improving expression and lip sync. This free service removes the difficulty and expense of manual dubbing, enhancing content accessibility for global viewers.
Google's AI Selfie Generator
Google is developing AI software that can generate an infinite number of selfies from users' real photos, eliminating the need to continuously pose and capture photos in real life. The technology was announced at the Cannes International Festival of Creativity by Robert Wong, Vice President of Google Creative Lab. Google's Senior Vice President of Research, Technology, and Society, James Manika, likened the impact of generative AI to the invention of the camera, suggesting it could similarly revolutionize the creative community. However, there are concerns about the potential societal implications of such a technology. Critics note that the mental health of social media users, particularly young people, is already a concern and that creating an environment where users can fabricate any situation for publication could exacerbate these issues.
DeepMind's Robocat
DeepMind, Google's AI branch, has crafted a new AI model capable of managing several robots concurrently, guiding them through intricate tasks. Robocat is versatile, adapting to different robot shapes and sizes, from quadrupeds to bipeds to wheeled robots. It guides these robots through a variety of tasks like walking, running, or even complex tasks such as climbing or pushing. What makes it really stand out is its use of reinforcement learning, a trial-and-error-based learning style where actions are shaped by rewards or penalties. This allows Robocat to learn from simulated environments, mitigating the risk of damaging real robots. It can coordinate multiple robots, not just individually, but also as a group, to achieve shared goals or adapt to shifting circumstances.
LinkedIn's Fake Image Detector
LinkedIn has launched a new AI image detector that can identify fake profile pictures with a 99% success rate. The AI image detector, called LIDAR, uses deep learning to sift through profile photos, gauging their authenticity. It compares these images with others available online, such as stock photos or celebrity images. It can also spot telltale signs of editing, like inconsistent lighting or backgrounds. The true benefit of LIDAR is its capacity to flag suspicious profiles for human review. In doing so, LinkedIn aims to deter malicious activities like scams or impersonation, keeping its platform trustworthy and user-friendly.
Stable Diffusion's AI Image Creator
Stable Diffusion has developed a new AI model called SDXL that can generate high-quality images faster than ever before. SDXL uses diffusion models to craft vivid and diverse images at breakneck speed. Diffusion models work by initially adding noise to an image until it's unrecognizable, and then the AI gradually removes this noise to either restore the original image or create a new one. SDXL has seen substantial improvements from its predecessor, with double the parameters and quicker generation speed due to fewer diffusion steps and optimized hyperparameters. This model can rapidly churn out high-quality images that are lifelike and varied, even from simple text prompts like a cat wearing a hat or a sunset over the ocean.
Vimeo's AI Editing Tools
Vimeo, the video hosting platform that caters to businesses and content creators, has launched new AI-powered editing tools designed for beginners. These tools, called One Take Video Creation, aim to lower the barrier to entry for novice video creators. One Take Video Creation is a set of AI-powered editing features that help users create videos in one take without any prior editing skills or experience. It includes AI script generation, a built-in teleprompter, and text-based video editing. These features offer an easy and fast way to make videos for different purposes, regardless of one's experience or budget.
Energy Saver: Optimizing Power Consumption
Researchers from Stanford University and Google have created an AI tool called Energy Saver that advises homeowners on which appliances are draining their wallets and how to save energy. Energy Saver smartly uses home smart meter data, applying machine learning to determine which appliances are the big energy guzzlers and how much they're costing you. It even offers personalized tips, like when's the best time to run your dishwasher or how to adjust your thermostat. Energy Saver was trialed on over ten thousand households in California and managed to lower their electricity consumption by around nine percent, resulting in about a $120 saving each year and a carbon emissions cut of 1.3 tons.
Adobe's AI Image Generator: Project Gingerbread
Adobe has showcased a new AI tool called Project Gingerbread at Config 2023. It's an image generator that uses artificial intelligence to create beautiful and diverse images from nothing or based on your text inputs. The tool works using generative adversarial networks, AI systems that generate images and then test them for realism. The aim is to create better and better images that are essentially indistinguishable from real photos. Project Gingerbread is a versatile tool that allows you to create images from scratch by selecting parameters such as category, style, color, and mood.
Conclusion
In conclusion, the advancements in AI are truly remarkable. From YouTube's AI model that allows creators to reach a global audience with dubbed videos, to Google's AI selfie generator that can generate endless selfies, to DeepMind's Robocat that can operate multiple robots at the same time, AI is pushing the boundaries of what's possible. LinkedIn's fake image detector and Stable Diffusion's AI image creator showcase how AI can be harnessed to protect online communities and generate high-quality images faster than ever before. Vimeo's AI editing tools and Energy Saver's intelligent strategy for reducing power bills are making video creation and energy consumption more accessible and efficient. And finally, Adobe's AI image generator, Project Gingerbread, is a testament to the power of AI in creating realistic and diverse images. These advancements in AI are shaping the future and have the potential to revolutionize various industries. Exciting times lie ahead as AI continues to evolve and transform the world we live in.
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