Yesterday, I had the privilege of diving into the visionary world of Jensen Huang, NVIDIA's CEO, as he took the stage at GTC in San José. His keynote was not just a showcase of technological prowess but a testament to the transformative potential of AI and computing across industries. From the launch of the next-generation GeForce RTX 40 Series GPUs, marked as a "quantum leap" in graphics and simulation, to the full production of the H100 GPU, revolutionizing large language model processing - the breadth of innovation was staggering. NVIDIA is shaping a future where AI and computing not only redefine industry norms but also spearhead sustainability efforts. The introduction of technologies such as the H100 Tensor Core GPU, designed to dramatically reduce large language model processing costs, exemplifies this commitment. Moreover, NVIDIA's push towards democratizing AI through platforms like DGX Cloud and NVIDIA AI Foundations is set to bring unprecedented access and capabilities to companies worldwide, fueling innovation across domains. As the founder of Rock Your Ideas, I am immensely inspired by NVIDIA's initiatives. It underscores belief in the power of technology as a catalyst for positive change. Rock Your Ideas is keenly focused on how these advancements can be leveraged to foster inclusivity, address global challenges, and drive societal progress. Let's embrace these innovations and collaborate towards building a more sustainable, inclusive, and empowered future. Let‘s get inspired. #NVIDIA #GTC #AI #Innovation #Sustainability #Technology #RockYourIdeas For a deeper dive into the highlights from Jensen Huang's keynote at GTC San José, visit the following NVIDIA Blog posts: https://lnkd.in/eyHKaEaC https://lnkd.in/e2JdQk9g #NVIDIA #GTC #AI #Innovation #Technology #Keynote #SocietalChange #RockYourIdeas

The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

Ethics, legal compliance, education, user-centricity, as well as diversity and inclusion are essential for the responsible development and use of AI, aiming to create an inclusive and equitable technology future. 1. Establishing ethical guidelines is a fundamental step, as ethical considerations set the framework for responsible action in the development and use of AI. These guidelines serve as a guide for decisions and behaviors aimed at preserving and respecting the dignity and rights of all involved. 2. Ensuring legal compliance is not just a matter of legality, but also of legitimacy and trust. It is essential for users, especially entrepreneurs, to be fully informed about the legal framework. This is necessary to minimize risks and strengthen the trust of potential business partners and the public. 3. Offering training is crucial to promote an ethical culture and raise awareness of the complexity of AI. Through targeted educational measures, employees are not only sensitized but also specifically enabled to understand and apply ethical and legal principles in their daily work. 4. User-centered development is crucial, as considering psychological aspects and the needs of users is fundamental for the acceptance and effectiveness of AI systems. Such an approach ensures that the developed solutions are not only value-creating but also widely accessible and user-friendly. 5. Diversity and inclusion as key elements: Incorporating diverse teams in the AI development process is critical to integrate a variety of perspectives and experiences. This diversity not only enhances innovation and creativity but is also an effective means against the embedding of biases in AI systems. By prioritizing inclusion, it is also ensured that the developed technologies are fair and accessible to a wide user group, which strengthens the ethical dimension of technology development.

As artificial intelligence (AI) evolves, the focus is shifting from explainability to justifiable decisions. This shift acknowledges that the complexity of some AI processes exceeds our understanding, similar to the unpredictable patterns of nature or human perception. The Challenge of Explainability The concept of fully explainable AI reaches its limits because not all processes can be made transparent due to their complexity. This leads to a rethink: instead of trying to explain everything, we focus on justifying AI decisions. Justifiable Decisions in Focus The emphasis is now on ensuring that AI decisions meet ethical, legal, and societal standards, even if the path to these decisions is not always clear. This approach demands accountability and ensures that AI systems act in accordance with our values. Legal and Ethical Dimensions For lawyers, this means engaging with the legal and ethical aspects of AI and creating frameworks that support justifiable AI decisions. Managers and leaders are tasked with establishing a culture of responsibility and ethical use of AI within their organizations. Summary The move towards justifiable decisions opens new perspectives in dealing with AI. It calls on us to take responsibility and ensure that AI technologies serve humanity and align with our shared values. (Image Prompt: The transition from the complexity and incomprehensibility of AI to an era of justifiable decisions, emphasizing the themes of transparency, ethics, and inclusion. Be creative and surprise me.)

Hi everyone, I'm absoluteley new to programming, data science and AI. I'm very excited to embark on this journey of challenging myself to learning new skills. I was wondering how much time I should dedicate every day to this craft? I was thinking about 10 hours a week, will I be able to make progress with this amount of time invested? If so will I be able to move on a decent tempo? I'd love to work in this sector as my ultimate goal. I'm just wondering what a normal timeframe would be to achieve this, depending on the hours spent every week. I'm excited to be a part of this community and meet new people with the same interest.