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Artificial Intellegence

Adobe Offers $3 Per Minute for Videos to Build AI Model

Adobe Offers $3 Per Minute for Videos to Build AI Model

To improve its artificial intelligence (AI) text-to-video generator, Adobe Inc. is investing $3 per minute on video content. Adobe is working to improve its AI skills and maintain its competitiveness in the quickly changing technological market. One of their initiatives is this one.

Developing a Flexible AI Training Set

Adobe Offers $3 Per Minute for Videos to Build AI Model

Image Source: pcmag.com

Adobe has invited its vast network of photographers and artists to provide movies that portray commonplace activities and human emotions like walking, joy, and rage in order to enhance its AI text-to-video converter. The objective is to gather a large, varied dataset that will be useful for training the AI model.

Using AI to Enhance Creative Software

Adobe has been concentrating on adding generative AI features to its portfolio of creative software, which includes well-known programmes like Photoshop and Illustrator, throughout the past year. As a result of these efforts, cutting-edge technologies that allow users to convert text into pictures and graphics have been developed, garnering billions of interactions.

Reaction to OpenAI's Sora's Competition

For Adobe, the rise of OpenAI’s Sora video-generation system has presented issues and difficulties. Investors are dubious about Adobe’s capacity to handle game-changing advancements in artificial intelligence. In answer, Adobe promised more advancements later this year and reiterated its commitment to pushing the boundaries of video creation technology.

Submission Guidelines and Payment

The request from Adobe is for more than a hundred short videos showing people acting, feeling, and interacting with common goods like cell phones and exercise equipment. It is requested of contributors not to contribute any offensive or copyrighted material.

Contributors are encouraged to take part in this effort since they may earn up to 7.25 dollars per minute for their videos, with an average payment of $2.62 per minute.

AI Model Data Requirements

This project draws attention to the significant amounts of data needed to train the AI models that drive well-known content production tools, such as Adobe’s text-to-video converter. In the AI community, the underlying source of data used for training has been a subject of discussion and contention. Companies such as OpenAI rely on platforms such as Instagram, Facebook,  and YouTube for their training data.

Adobe, on the other hand, stresses a distinct strategy by using its huge stock material library, designed specifically for retailers and creative agencies, to efficiently train its AI models.

In conclusion, Adobe’s decision to invest in video material for its AI model demonstrates the company’s dedication to competition and innovation in the field of AI-driven technologies. Adobe wants to empower people and improve the abilities of its solutions for content production and beyond by utilising a broad dataset and incorporating AI functionality into its creative applications.

Google to Launch AI Photo Eraser for iPhone and Android in May

Google to Launch AI Photo Eraser for iPhone and Android in May

Google has announced a groundbreaking move in the realm of smartphone photography. In a blog post on Wednesday, the tech giant revealed its plans to democratize access to its AI-powered photo-editing tools, previously exclusive to Pixel phones and Google One subscribers. Starting May 15, users across all platforms—iOS and Android—will enjoy these advanced features, marking a significant shift in the accessibility of cutting-edge technology.

Revolutionizing Photo Editing

Google to Launch AI Photo Eraser for iPhone and Android in May

Image Source: patentlyapple.com

One of the standout features is the Magic Eraser, designed to seamlessly eliminate unwanted objects from images. This innovative tool joins the roster alongside Photo Unblur, which enhances focus in blurry photos, and Portrait Light, a tool for refining lighting in portraits. This expansion also encompasses Pixel tablets, widening the scope of AI-enhanced photo editing to a broader user base.

Inclusive Accessibility

Google’s move towards inclusivity extends beyond smartphones. While Pixel users and premium Google One subscribers will have unlimited access to these features, all Android and iOS users will receive 10 Magic Editor photo saves per month. This democratization of AI photo editing signifies a shift towards empowering every smartphone user with professional-grade editing capabilities.

The Magic Editor, initially introduced with the Pixel 8 and Pixel 8 Pro, stands out for its generative AI capabilities. It can seamlessly reposition subjects, remove unwanted elements, or even alter the sky’s hue, creating stunning visuals with ease. This democratization of advanced photo editing heralds a new era where creativity knows no bounds, empowering users to unleash their artistic vision directly from their smartphones.

As Google prepares for the rollout next month, excitement brews among smartphone photography enthusiasts and professionals alike. With the democratization of AI photo editing, the possibilities for creativity and expression are limitless. The May launch marks not just a software update but a transformative leap towards making cutting-edge technology an integral part of everyday photography.

In conclusion, Google’s announcement of the AI photo eraser’s launch for iPhone and Android phones in May promises to redefine the landscape of smartphone photography and democratize access to professional-grade editing tools, ushering in a new era of creative expression for millions of users worldwide.

Trudeau's Big Bet to $1.8 Billion Package to Boost Canada's AI Sector

Trudeau’s Big Bet to $1.8 Billion Package to Boost Canada’s AI Sector

In a significant move to establish Canada as a global leader in artificial intelligence, Prime Minister Justin Trudeau has announced a sweeping $1.8 billion support package for the country’s AI sector. The funding, aimed at research, development and integration of AI across various industries, underlines Canada’s commitment to advancing technological innovation and economic growth.

A Strategic Investment in Innovation

Trudeau's Big Bet to $1.8 Billion Package to Boost Canada's AI Sector

Image Source: wsj.com

During a press conference in Ottawa, Trudeau highlighted the strategic importance of artificial intelligence in driving future economic prosperity and tackling societal challenges. Trudeau said, “Artificial intelligence is not just a new technology. It is a new way of looking at the world, our challenges and opportunities. With this investment, Canada is placing itself at the forefront of this technological revolution.”

The $1.8 billion package is designed to support a variety of initiatives, including the expansion of research facilities, the development of AI applications in health care and environmental management, and the promotion of ethical AI practices. A significant portion of the funding will also be allocated to skills training and education to ensure a skilled workforce capable of leading AI innovation.

Bolstering Canada's AI Ecosystem

Canada’s AI strategy focuses on promoting collaboration between universities, research institutions and the private sector to accelerate the development and commercialization of AI technologies. This approach aims to create a strong ecosystem that supports startups and established companies alike, promoting both innovation and job creation.

This announcement has been welcomed with enthusiasm by the technical community and academia. “This investment is a game-changer,” said Dr. Yoshua Bengio, a leading AI researcher at the University of Montreal. “This will enable us to attract and retain the brightest minds, push the boundaries of what AI can achieve and ensure Canada remains a major player on the global stage.”

Addressing Ethical and Societal Implications

Recognizing the potential ethical and social implications of AI, the Canadian government has stressed the importance of developing AI technologies responsibly. The funding package includes provisions for the study and implementation of ethical AI guidelines, aiming to ensure that advances in AI benefit all sectors of society without increasing inequalities or violating privacy.

Looking Forward

With this historic investment, Canada aims to not only enhance its competitive edge in the global AI landscape, but also lay the foundation for sustainable growth and innovation. The focus on ethical considerations and workforce development ensures that Canada’s AI sector will grow in a way that respects both individual rights and social values.

As the world races to harness the potential of artificial intelligence, Canada’s $1.8 billion investment is a bold step towards shaping the future of the technology and its application for the betterment of society.

UK at Risk of Losing 8 Million Jobs to AI, Analysis Warns

UK at Risk of Losing 8 Million Jobs to AI, Analysis Warns

The growing integration of artificial intelligence (AI) in the workforce is putting up to 8 million jobs in the UK in danger, according to a dire warning from the Institute for Public Policy Research (IPPR). The ramifications of this trend and the policies in place at the government level might have a significant impact on both the job market and the economy as a whole.

AI's Effect on Jobs in the UK

UK at Risk of Losing 8 Million Jobs to AI, Analysis Warns

Image Source: bloomberg.com

The IPPR analysis states that AI is already having an effect on 11% of the tasks that UK workers complete. This number is expected to increase dramatically as businesses continue to use AI technology, possibly impacting over 60% of tasks. Part-time, entry-level, and back-office jobs like customer service are among the most susceptible. However, advances in AI might also have an impact on higher-paying employment.

Possibilities and Difficulties

Although the UK government has been utilising AI technology to increase productivity, the IPPR paper emphasises that the possible outcomes must be carefully considered. Senior economist at IPPR Carsten Jung highlights the critical role that companies, unions, and the government play in developing laws that prevent job loss and maximise AI’s economic advantages.

Policy Suggestions

According to the IPPR, an industrial AI strategy should be developed to facilitate job transitions and fairly distribute the benefits of automation. This approach should involve legislative adjustments, financial incentives to promote job creation rather than displacement, and assistance for sectors of the economy that are less vulnerable to automation, such as the green employment sector.

Gender Inequalities and the Development of Skills

According to a LinkedIn study, the UK is less skilled than other nations in AI, with just a small percentage of professionals having this level of knowledge. The risks of displacement are higher for women and young people, who are disproportionately employed in jobs that might be disrupted by AI. To effectively navigate the AI-driven employment market, firms and the government must prioritise skill development and address gender imbalances.

In summary, In order to minimise job losses and optimise economic potential, preemptive steps are crucial as the UK struggles with the transformational effects of AI on its workforce. The UK can effectively tackle the difficulties presented by artificial intelligence (AI) and promote equitable growth and job opportunities for everyone by enacting sensible legislation and allocating resources towards skill enhancement.

 
Top 5 Generative AI Video Tools Revolutionizing Content Creation

Top 5 Generative AI Video Tools Revolutionizing Content Creation

Top 5 Generative AI Video Tools Revolutionizing Content Creation

With their creative solutions for producing high-quality visual content with little effort, generative AI video technologies are transforming the way content producers create videos. These technologies are increasingly indispensable for both pros and amateurs in the video production industry since they improve processes and enable the creation of breathtaking visual effects. These are five generative AI video resources that ought to be familiar to all:

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.

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.

 
A Complete Guide to Google Gemini AI on Android and iPhone

A Complete Guide to Google Gemini AI on Android and iPhone

Google’s Gemini app, an AI-powered chatbot, has recently undergone a significant expansion, making it accessible to users across 150 countries and territories, including India. With its innovative features and diverse language support, Gemini aims to revolutionize AI-driven conversations on both Android and iPhone platforms.

Global Accessibility: Breaking Boundaries

A Complete Guide to Google Gemini AI on Android and iPhone

The Gemini app, initially launched for Android users on February 8, has quickly captured attention for its groundbreaking capabilities. Its recent expansion to over 150 countries underscores Google’s commitment to democratizing AI-driven interactions on a global scale. By offering support in English, Korean, and Japanese languages, Gemini ensures inclusivity across diverse user demographics.

Embracing Diversity: Language Support and Accessibility

One of Gemini’s standout features is its multilingual support, catering to users from various linguistic backgrounds. Whether communicating in English, Korean, or Japanese, users can seamlessly engage with the chatbot, enhancing their digital experiences irrespective of language barriers.

Bridging the Gap: Gemini on iOS

While there isn’t a dedicated Gemini app for iOS, iPhone users can still leverage its capabilities through integration with the Google app. By simply toggling a feature within the Google app, iPhone users gain access to Gemini’s AI-driven conversations, expanding the reach of this innovative technology to a broader audience.

System Requirements: Ensuring Optimal Performance

To fully utilize the Gemini app on Android, users need devices with a minimum of 4GB RAM and running on Android 12 or later versions. Similarly, iPhone users must have iOS 16 or newer to activate the Gemini feature within the Google app. These system requirements ensure smooth functionality and optimal performance, guaranteeing a seamless user experience.

User Experience: Addressing Concerns and Enhancements

Jack Krawczyk, Senior Director of Product at Google overseeing Gemini, has been responsive to user feedback and concerns. By relaxing restrictions on image uploading and generation, Google aims to enhance user experience while maintaining responsible content alignment. Moreover, efforts to improve communication regarding Gemini’s capabilities vis-à-vis Google Assistant demonstrate a commitment to transparency and user satisfaction.

As Gemini’s global rollout continues, users worldwide can look forward to integrating this AI-powered chatbot into their digital routines, unlocking a new era of intelligent interactions on both Android and iPhone devices. With its expanding reach and continuous improvements, Gemini is poised to redefine the way we engage with AI technology, enriching our daily lives with seamless, personalized experiences.