Generative AI

Top 5 Generative AI Video Tools Revolutionizing Content Creation

Runway ML

With the help of the robust platform Runway ML, users can develop, test, and implement generative AI models for a range of creative uses, such as video creation. Runway ML’s wide collection of pre-trained models and user-friendly interface enables users to automate tedious operations, create dynamic visual effects, and modify video footage. If you work as a graphic artist, animator, or filmmaker, Runway ML has a lot of features that can help you improve your creative process.

DeepArt.io

A well-known online platform called DeepArt.io uses deep learning algorithms to create beautiful artworks out of movies. Through the use of creative styles applied to video frames, users may create captivating animations and visual effects using DeepArt.io. DeepArt.io has a user-friendly interface and a broad variety of artistic styles, making it ideal for experimenting with abstract art or adding a surrealistic touch to your movies.

Artbreeder

Using the cutting-edge platform Artbreeder, people may work with AI to create original visual material, including films. With Artbreeder, users can combine and manipulate photos using AI algorithms to generate unique visual effects, animations, and video assets. Artbreeder is a creative playground for designers, filmmakers, and digital artists to explore new concepts and push the limits of visual narrative.

DAIN App

DAIN-App is a ground-breaking application that turns regular film into realistic and fluid slow-motion movies using deep learning. DAIN-App efficiently raises the frame rate of movies, producing smooth and realistic action by creating intermediate frames between already-existing frames. DAIN-App is an easy-to-use yet effective way to achieve amazing slow-motion effects in your films, whether you want to improve action scenes or give them a more theatrical feel.

Runway ML Video Style Transfer

With the state-of-the-art programme Runway ML Video Style Transfer, users may instantly add creative styles to videos. Runway ML Video Style Transfer allows users to effortlessly combine video footage with a variety of visual styles, such as paintings, sketches, and photos, by utilising neural style transfer algorithms. Runway ML Video Style Transfer gives you limitless creative options, whether your goal is to create a distinctive visual aesthetic or imitate the appearance of a well-known artist.

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To sum up, generative AI video technologies are revolutionising the way content producers create videos by providing creative ways to quickly and easily create amazing visual material. For those seeking to push the limits of visual storytelling, these five generative AI video tools are indispensable, whether you’re hoping to improve your productivity in video creation or try out new creative approaches.

Suhani Jain

I am a student pursuing my bachelor’s in information technology. I have a interest in writing so, I am working a freelance content writer because I enjoy writing. I also write poetries. I believe in the quote by anne frank “paper has more patience than person

Google Maps Introduces Cutting-Edge Generative AI Features

Leave a Comment / Artificial Intellegence, Google, News, Tech News / By Suhani Jain

With the release of a major upgrade, Google Maps for Android will now provide weather and Air Quality Index (AQI) data overlays. This capability, which was previously limited to a few devices, is now being made available to a larger user base and offers useful information from within the Maps interface.

Improved Display of AQI and Weather Data

Image Source: lifewire.com

The most recent version of Google Maps for Android has a weather box that is conspicuously positioned in the upper-left area, directly beneath the search bar. When you tap on this box, a comprehensive card with more meteorological data—such as hourly predictions, temperature extremes, and an AQI section—is displayed. Users may easily navigate while remaining updated about environmental conditions by tapping on the AQI section to overlay air quality data right onto the map.

Compared with the iOS Version

The Android version of Google Maps provides more extensive information in a floating card, but the iOS version also has a weather box beneath the search bar. On the other hand, touching the box on the iOS version does not display any extra weather information. However, the map type and information part of both versions include AQI data.

Introducing the Features of Generative AI

Google recently announced the inclusion of new generative AI tools for Google Maps, in addition to weather and AQI data overlays. Currently in the testing stage, these capabilities are originally accessible in a few US locations. By offering carefully chosen destination suggestions in response to cues, generative AI is being used with the goal of improving user experience.

AI-Driven Suggestions

Based on user questions, Google Maps can now provide personalised suggestions for different activities and destinations thanks to the incorporation of generative AI. For instance, when users ask Maps for recommendations for indoor activities on a rainy day, it will provide things like comedy clubs and movie theatres. Additionally, customers may narrow down their search by adding preferences, like kid-friendly activities, and get recommendations that are specifically catered to their needs.

Also Read: Startup Zededa Raises $72 Million to Advance AI-Powered Solutions

Future Development and Worldwide Accessibility

Although the new generative AI tools are now only available in certain US locations, Google intends to increase their accessibility in the upcoming months. The goal of these AI-powered improvements is to let consumers adjust their plans and make impulsive decisions based on preferences and situations that are relevant at the moment.

Users may anticipate increasingly sophisticated and customised experiences that are catered to their requirements and interests as Google develops and enhances its Maps platform. Even with the addition of generative AI capabilities and weather data overlays, Google Maps is still a useful tool for exploration and travel.

Suhani Jain

How Will Generative AI Impact Our Devices in the Future?

Leave a Comment / Artificial Intellegence, News, Tech News / By Team YTS

Generative AI is set to revolutionize our interactions with devices, making them smarter, more intuitive, and incredibly efficient. This transformative technology will significantly enhance user experience, content creation, communications, security, and device performance, while also presenting new challenges and ethical considerations.

Enhancing User Experience

Image Source: cnbc.com

Generative AI will personalize the user experience to unprecedented levels. Devices will learn from user behavior to tailor interfaces, suggestions, and services. Improving accessibility will make technology more inclusive, using AI to adapt interfaces for disabled users.

Revolutionizing Content Creation

The field of content creation will see a big change with AI. From media production, offering tools for creating music, videos, and images, to assisting with creative writing, Generative AI will democratize content creation, making it more accessible.

Transforming Communication

Communication devices will become more efficient and barrier-free. Real-time translation and smart replies, powered by AI, will make conversations in different languages seamless and increase productivity.

Advancing Security Measures

Generative AI will strengthen security measures on devices. It will enhance fraud detection and privacy protection by using pattern recognition to more effectively identify and mitigate potential threats.

Optimizing Device Performance

AI will optimize device performance, and increase battery life and processing efficiency. Devices will manage their resources more intelligently, adapting usage patterns to save energy and process tasks more efficiently.

Future of Device Interfaces

The future will see more natural interactions with devices through voice-activated controls and gesture recognition. Generative AI will make interfaces more intuitive, reduce the learning process for users, and make technology more accessible.

Ethical Considerations and Challenges

Despite its benefits, generic AI raises ethical concerns, including bias and job displacement. It is important to address these challenges, ensuring that society as a whole benefits equally from AI.

Also Read: A Step-by-Step Tutorial on Using Google Bard’s AI Image Generator

Conclusion

Generative AI is set to transform our devices in ways we are just beginning to understand. By enhancing user experience, revolutionizing content creation, transforming communications, advancing security, and optimizing performance, AI will make our devices more intuitive, efficient, and secure. However, it will be important to pay attention to ethical considerations to responsibly harness the full potential of AI.

Team YTS

US Space Force Pauses Generative AI Use Based on Security Concerns

Leave a Comment / Artificial Intellegence, News, Tech News / By Sandhya Gupta

In a move reflecting growing concerns over data security, the US Space Force has issued a temporary ban on the use of web-based generative artificial intelligence tools and large language models (LLMs).

The ban, detailed in a September 29 memo seen by Bloomberg News, applies to the Guardian Workforce, the term for Space Force members, and restricts the use of government data on web-based generative AI tools unless specifically approved.

Generative AI tools, including chatbots and platforms like OpenAI’s ChatGPT, have gained immense popularity for their ability to create text, images, or other media from simple prompts. Lisa Costa, Space Force’s chief technology and innovation officer, acknowledged the transformative potential of generative AI in the workforce but expressed concerns over cybersecurity, data handling, and procurement requirements in the memo. The adoption of AI and LLMs, she stressed, must be conducted responsibly.

While the memo did not provide specific details, experts have raised alarms about potential risks associated with handling voluminous and potentially non-public data. There are fears that such data, used to train models and generate content, could be vulnerable to leaks or hacking.

The decision has already impacted users of generative AI platforms, including at least 500 individuals relying on Ask Sage, a secure generative AI platform. Nicolas Chaillan, the founder of Ask Sage and former chief software officer for the Air Force and Space Force, criticized the decision as short-sighted, especially given the Defense Department’s push for accelerated AI adoption. In August, the Pentagon established a generative AI task force to explore use cases for LLMs across the department.

Chaillan argued that his platform already meets security requirements and has been “whitelisted” and approved for use by the Air Force. He raised concerns in a September email, expressing that the decision would set the US back in the AI race, particularly against China.

Also Read: Adobe Releases New AI Models Aimed at Improved Graphic Design

The impact of the Space Force’s decision extends beyond national defense, affecting over 10,000 customers in the Defense Department, including 6,500 in the Air Force, who utilize Ask Sage for tasks such as report writing. The CIA has already developed a generative AI tool for use within the intelligence community, indicating the broader interest in leveraging AI capabilities across various government agencies.

As the Space Force plans to release new guidance within 30 days, the decision to pause generative AI use reflects a delicate balancing act between embracing cutting-edge technologies and addressing pressing security concerns in an era where data vulnerability is a growing global challenge.

Sandhya Gupta

I am a law graduate from NLU Lucknow. I have a flair for creative writing and hence in my free time work as a freelance content writer.

Japan to Propose Rules for Generative AI to G7 Leaders: Yomiuri

Leave a Comment / Artificial Intellegence, News, Tech News / By Sandhya Gupta

Prime Minister Fumio Kishida declared Japan’s commitment to spearheading the establishment of international regulations for trustworthy artificial intelligence (AI) during a speech at the annual Science and Technology in Society forum in Kyoto on Sunday.

Highlighting Japan’s leadership, Kishida announced the proposal of the Hiroshima AI Process, a framework designed to address concerns related to generative AI, while holding the chairmanship of the G7 industrialized nations.

“With a view to ensuring trustworthy AI, Japan is now taking the lead in international rule-making on governance and transparency,” stated the prime minister, emphasizing the nation’s pivotal role in shaping the future of AI governance.

The decision to create the Hiroshima AI Process was made during the G7 summit meeting in Hiroshima in May. The G7 leaders aim to formulate international rules regarding generative AI by the year’s end, addressing issues such as the potential spread of false information and infringement of intellectual property rights, including copyrights.

Key areas of discussion during the international rulemaking deliberations will include the establishment of effective regulations across various fields like education, security, and elections. Additionally, preventing the concentration of generative AI development platforms in the hands of a few IT giants, thus avoiding service monopolization, will be a priority.

Prime Minister Kishida expressed his commitment to promoting advanced technologies like generative AI while acknowledging the necessity of addressing the negative social impacts and ethical concerns associated with such innovations. Disinformation, privacy concerns, and copyright protection were specifically mentioned as areas requiring serious attention.

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In response to rising concerns over disinformation, a new digital technology named Originator Profile has gained attention. This technology enables internet users to verify the credibility of information through digital signatures attached to online content, including news, corporate websites, and advertisements. These digital signatures are authenticated by a third-party organization, providing a potential countermeasure against the proliferation of false information.

As Japan takes the lead in proposing comprehensive rules for generative AI to the G7 leaders, the international community awaits the development of regulations that balance technological advancements with ethical considerations and societal well-being.