In 2000 TIME's editors sat down to select three inventions of the year, one each in consumer technology, medical science, and basic industry. They found so many interesting ones along the way that they included dozens of others, from an unbreakable lightbulb to paper that was easier to recycle. It was the start of our annual hunt for the most exciting innovations changing our lives, and the future. Since then, TIME has covered hundreds of inventions, from the esoteric (clouds featured more than once) to essential, including life-changing medicines, technological breakthroughs, new foods, nearly every new Apple product category, and even a few great ideas that didn't quite catch on. As TIME publishes the 2025 list, we're also assembling the Best Inventions Hall of Fame: the 25 most iconic inventions we covered in the past quarter century. Almost all women in the U.S. use contraception at some point in their lives, and in 2001 a new option came on the market, the vaginal ring. As TIME wrote when including it among the year's best inventions, "Some women hate taking pills. In early October the FDA approved use of the NuvaRing, a thin flexible plastic ring that women can flatten like a rubber band and insert once a month into the vagina."

Counting calories just got easier. Are you tired of the endless hassle of counting calories and manually logging every meal? Say goodbye to the frustration with The Drop, the world's first fully automated nutrition tracker. This groundbreaking wearable device is designed to revolutionize how you monitor your diet, making nutrition tracking effortless and intuitive. GET SECURITY ALERTS, EXPERT TIPS - SIGN UP FOR KURT'S NEWSLETTER - THE CYBERGUY REPORT HERE The Drop is a wearable nutrition tracker powered by innovative Nutri Track technology.

The prevalence of smart devices with the ability to capture moments in multiple modalities has enabled users to experience multimodal information online. However, large Language (LLMs) and Vision models (LVMs) are still limited in capturing holistic meaning with cross-modal semantic relationships. Without explicit, common sense knowledge (e.g., as a knowledge graph), Visual Language Models (VLMs) only learn implicit representations by capturing high-level patterns in vast corpora, missing essential contextual cross-modal cues. In this work, we design a framework to couple explicit commonsense knowledge in the form of knowledge graphs with large VLMs to improve the performance of a downstream task, predicting the effectiveness of multi-modal marketing campaigns. While the marketing application provides a compelling metric for assessing our methods, our approach enables the early detection of likely persuasive multi-modal campaigns and the assessment and augmentation of marketing theory.

With artificial intelligence becoming increasingly prominent, Kickstarter wants you to know if and how it's being used in any projects on the platform. The company will soon require creators to disclose any use of AI in their projects. The policy will apply to every project that's submitted on or after August 29th. "We want to make sure that any project that is funded through Kickstarter includes human creative input and properly credits and obtains permission for any artist's work that it references," Kickstarter's director of trust and safety Susannah Page-Katz wrote in a blog post. "The policy requires creators to be transparent and specific about how they use AI in their projects because when we're all on the same page about what a project entails, it builds trust and sets the project up for success."

"AI image generators use two neural networks. The first neural network creates an image while the second judges how close to the real thing the image is, based on real-life examples from the internet. Once scoring the image for accuracy is complete, the data is sent back to the original AI system. That system then learns from the feedback and sends back an altered image for further scoring until the AI-generated image matches the control/template image. "We recognize that work involving generative models has the potential for significant, broad societal impacts. In the future, we plan to analyze how models like DALL·E relate to societal issues like economic impact on certain work processes and professions, the potential for bias in the model outputs, and the longer term ethical challenges implied by this technology."-openai.com AI-generated image results are made from a collection of images it has no right to use. It does not create as artists do. Artists did not opt-in their work for this. AI is sourcing from portfolio sites like Behance, Art Station, Deviantart, Dribbble, and Pinterest without the original author's consent. The text below is taken from a now-suspended Kickstarter by Unstable Diffusion. The 2nd paragraph is especially telling. It's as much a tool as a robotic arm is on an assembly line. It's not meant for artists but as a replacement for artists. AI companies want amateurs to produce artwork without the need for further editing. It is marketed toward amateurs with the promise that they can create art without being an artist. Making good art is harder still. It is the very antithesis of what AI companies are claiming to stand for. And as it stands today, illegal and unethical. Why are they doing this? To unleash your creative power? If you believe that, I have some NFTs to sell you. "Our hope is that DALL·E 2 will empower people to express themselves creatively.

The upcoming ICRA 2022 conference will be the first robotics conference that many attend in-person for the first time since the pandemic. For many, it may be your first time ever attending an academic conference. Before it passes by you in a blink, we have a series of posts -- a "millennial's guide" if you will -- to help you make the most out of it.

So you have a new cutting-edge AI product/service idea. Unfortunately, this is easier said than done! How can a project cover the numerous expenses of AI product development, and remain financially stable? This is exactly where seed funding comes in. What is seed funding?... Seed funding comes before the product/service is ready for commercialization.

This project will only be funded if it reaches its goal by Mon, April 4 2022 2:16 PM UTC 00:00. This project will only be funded if it reaches its goal by Mon, April 4 2022 2:16 PM UTC 00:00. Support the project for no reward, just because it speaks to you. By pledging you agree to Kickstarter's Terms of Use, Privacy Policy, and Cookie Policy. It's a way to bring creative projects to life. Be the first to bring your Maicat home!

STEMpedia is going to launch a revolutionary AI learning kit that will transform the conventional learning system as we know it. Known as Quarky, the kit allows kids aged seven to 14 years old to enjoy the thrill of emerging technologies by indulging in exciting hands-on learning. Quarky opens a world of possibilities for kids as they learn, innovate and grow. Being much more than just an educational kit, it allows them to explore real-world application-based concepts of AI, robotics, and programming. Kids can learn and unleash their curiosity by building DIY robots based on machine learning, speech recognition, face recognition, and much more, thereby making their own Alexa, self-driving cars, face-unlocks, and whatnot!

Last year I launched my first successful Kickstarter project about AI. I'm amazed by all the support I received, thank you! I realized that many readers of my books are interested in more ways of using AI, this is why I'm launching my new book and tutorial: "Awesome Artificial Intelligence: Design, Art, Games", a richly illustrated guide to artificial intelligence (AI) for anyone interested in expanding creativity with AI. If you would like to support this project and get access to exclusive rewards, follow this project on Kickstarter! As a backer on Kickstarter, you'll get an exclusive opportunity to get early access to not only the book, but also: "Art of AI" (exclusive original artwork e-book), video tutorial and notebooks and code.