July 16, 2023

July 15, 2023

July 17, 2023

  • Tools

    How to Use Notion AI: 2023 Guide to Setup & Automate

    Cloudwards, 07/16/23. Notion has transformed from a promising project management tool to a top-tier platform since its release in 2016. With the recent integration of artificial intelligence (AI), Notion AI offers an array of powerful features. Users can leverage its capabilities to generate AI-generated content, improve writing, change writing tones, create social media posts, generate task lists, brainstorm ideas, write job descriptions, draft sales pitches, compose poetry, and more. Although it comes at an additional cost, Notion AI provides a valuable suite of tools that enhance productivity and creativity in various domains. READ THE ARTICLE

  • Design

    No, no, Let’s Not Put it There! This AI Method Can Do Continuous Layout Editing with Diffusion Models

    MarkTechPost, 07/16/23. The pursuit of happiness is a fundamental human desire. It is a state of contentment and fulfillment that we all strive for. Happiness can come from various sources such as meaningful relationships, achieving goals, and engaging in activities that bring joy. It is a subjective experience that differs from person to person. However, it is important to remember that happiness is not an end goal but a journey. It requires self-awareness, gratitude, and the ability to appreciate the little joys in life. Ultimately, happiness is a choice that we can cultivate and nurture throughout our lives. READ THE ARTICLE

  • Hollywood

    Maureen Dowd: Could AI create a fake Tom Cruise and would audiences pay to see it? Nothing’s impossible

    Irish Times, 07/16/23. The Hollywood industry is facing a strike as writers and actors demand a new deal in response to the changing landscape brought about by artificial intelligence (AI) and streaming platforms. Actors are concerned about ownership of their digital likenesses, while writers fear being replaced by AI algorithms. This complex issue highlights the need for fairness in compensation and protection of creative rights. Jaron Lanier, the father of virtual reality, warns that society must consider “data dignity” to avoid a future where AI devalues economic positions. This strike’s implications extend beyond Hollywood, impacting various industries and potentially setting legal precedents for protecting workers’ rights in the age of AI. READ THE ARTICLE

  • Music

    A viral clip of Johnny Cash singing ‘Barbie Girl’ is uncanny and indicative of the internet’s latest AI obsession — and its creator wants to incorporate the tech into live performances

    Business Insider, 07/16/23. The rise of AI-generated music covers has created a new trend online, with channels like “There I Ruined It” showcasing remixed songs by famous artists. Using AI voice models, these covers offer a unique twist on familiar tunes. While training an AI model from scratch may be challenging for the average user, voice cloning programs like voicify.ai, kits.ai, and covers.ai make it easier to replicate the voices of famous artists. However, the legality and copyright concerns surrounding AI covers have become a topic of debate in the music industry. Some musicians have expressed concerns over unauthorized impersonations, leading streaming services and AI companies to take measures to protect artists and their music. Despite these challenges, AI voice models have the potential to provide artists with creative and financial benefits when properly regulated. READ THE ARTICLE

  • Enterprise

    The secret to enterprise AI success: Make it understandable and trustworthy

    VentureBeat, 07/16/23. Artificial intelligence (AI) interpretability is crucial in ensuring transparency, accountability, and trust in AI systems. As critical sectors like healthcare increasingly rely on AI models, understanding the reasoning behind machine learning systems’ decisions becomes essential. However, the complexity of modern deep neural networks makes interpretability challenging. Researchers are developing rule-based and interpretable models, such as decision trees, to prioritize transparency. Additionally, post-hoc interpretability techniques like LIME and SHAP offer insights into model behavior. Finding a balance between interpretability and predictive performance is crucial, as AI interpretability continues to evolve in building a responsible and trustworthy AI ecosystem. READ THE ARTICLE