Xavier Giro-i-Nieto’s Post

Thanks to IEEE for being selected to collaborate as a reviewer for the  2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024) IEEE CAI 2024 The 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024) is the 2nd edition of the new conference and exhibition with an emphasis on the applications of AI and key AI verticals that impact industrial technology applications and innovations.  Very honored and proud for this opportunity • To Help worldwide Artificial Intelligence researchers to edit and review their papers ASAP • Provide feedback as to effectiveness on their communication • To Know what other researchers are doing in our field and research topics before they get published • To keep the scientific publishing eco-system balanced, for every article submitted • Improve response time on the overall IEEE CAI 2024 event • Support promotion and graduation to the student research papers that need KPI (Key performance indicator for promotion) #AI #aiadvancements #airesearch

Exciting advancements in AI research are paving the way for large multimodal models (LMMs), combining text, images, and more for enhanced capabilities. From assisting the visually impaired to revolutionizing industries like healthcare and e-commerce, the potential of multimodal AI is vast. With the ability to process diverse data types, LMMs offer a more human-like approach to problem-solving and decision-making. As this technology continues to evolve, the possibilities for innovation and transformation are endless. #MultimodalAI #LMMs #AI #Innovation #Technology #ArtificialIntelligence https://lnkd.in/gxUbq2tE

AI Empowered Engineering Education 👌 . I really wish this were in the discussions at this November's Engineering Conference. #RoT: If you are using one laptop and are not applying AI or dealing with big data , then probably you are not doing cutting-edge engineering.

Cre-AI-ting future possibilities at #NTUsg: To enhance #ArtificialIntelligence #education, #research, and #innovation, and cultivate socially-aware experts equipped with the knowledge and skills to create #AI solutions centered around human needs, NTU President Ho Teck Hua has announced several new initiatives. For instance, the University will be launching the new Bachelor of Science (Hons) in AI and Society as one of its new academic offerings. In addition, the new Turing AI Scholars Programme will aim to groom the top minds of the next generation, while the AI Minor for all undergraduates will ensure that NTU students will be at forefront of #technology. https://ntu.sg/AINTUSG Hear why NTU is the place to be from Hailey, who is created with #GenerativeAI. #AIatNTUsg #NTUAdmissions #NTUsgEducation #NTUsgInterdisciplinary #NTUsgResearch #NTUsgInnovation #NTUsg2025

#Science in the Age of #AI: How #ArtificialIntelligence is changing nature & method of scientific research has just been published by The Royal Society It includes analysis of ✅how AI-driven technologies are transforming the methods and nature of scientific research ✅opportunities, limitations & risks of these technologies for scientific research ✅how stakeholders in governments, universities, industry & philanthropy can best support development, adoption & uses of AI-driven technologies in scientific research Report reveals: - #China 🇨🇳accounts for > 60% of Ai #patents worldwide. In Europe, #Germany 🇩🇪 leads with #UK 2nd in life sciences-related AI patents. -Alphabet Inc. Siemens IBM and Samsung Research have greatest influence in #science & #engineering - Interdisciplinary collaboration is even more important in AI-related scientific research to bridge skill gaps & optimise benefits of AI helping produce more effective & accurate AI models. BUT research environments & incentive structure (career progression) work against this by failing to reward collaboration , reinforcing siloisation instead. Time to re-hardwire academic/research structures once & for all. ➡️https://lnkd.in/dUDkK7nD

New Post: Robert Williams: Where we are now in science and what awaits us in the new technologies of #artificialintelligence - https://lnkd.in/dQi8wt7S science needed to solve the problems of our rapidly changing world will spring from the ideas and talents of people from many backgrounds and skill sets. Discovery occurs when diverse perspectives come together to ask the right questions and answer them in new and innovative ways. Research now and in the future requires deep disciplinary knowledge that is not constrained within silos.  Research of the Future - Future of Science Carnegie Mellon University. Professor Ross King from Cambridge's Department of Chemical Engineering and Biotechnology, who originated the idea of a 'Robot Scientist', discusses why he believes that AI-powered scientists could surpass the best human scientists by the middle of the century, but only if artificial intelligence for science is developed responsibly and ethically. Link: https://lnkd.in/dnn4UFqw Starting from the details of the above materials, science News247 proposes analysis and predictability. The strong centers of science and research are evident in private where the state is no longer present due to the responsibility of evolution and the capitalization of the discovery in the national interest. Perhaps the greatest momentum of science reached during the Cold War period, where the "dictators" and the "free" invested massively in research and innovation, so that the foundation of the existence of research collapsed in more than half of the world and was only the prerogative of private property and not of the state. Scientific journals are not available to everyone because they are very rare to take over the regular media and why? Because a small percentage of the population knows the importance of science and innovation. The largest percentage is faced with a fait accompli and waits with interest or surprise for the appearance of technology launches or its restrictions. The questions are: Are scientists no longer credible and valuable enough to support science and its evolution that AI is already functional in fully automated autonomous labs? It is sublime to see how fast they evolve and even if the appearance of other and infinite technologies is almost imperceptible, why do scientists no longer find their place in the state's priorities through the existence of national academies? Is the human scientific world dividing and becoming a consumer of the discoveries offered by AI technology? The speed of implementation of AI technology is certainly cheaper than the training in time and space of a researcher who needs a life to scientific maturity and creation in comparison with AI in its current form. AI, genomics, biotechnology, medicine and other fields are

New Post: Robert Williams: Where we are now in science and what awaits us in the new technologies of #artificialintelligence - https://lnkd.in/dQi8wt7S science needed to solve the problems of our rapidly changing world will spring from the ideas and talents of people from many backgrounds and skill sets. Discovery occurs when diverse perspectives come together to ask the right questions and answer them in new and innovative ways. Research now and in the future requires deep disciplinary knowledge that is not constrained within silos.  Research of the Future - Future of Science Carnegie Mellon University. Professor Ross King from Cambridge's Department of Chemical Engineering and Biotechnology, who originated the idea of a 'Robot Scientist', discusses why he believes that AI-powered scientists could surpass the best human scientists by the middle of the century, but only if artificial intelligence for science is developed responsibly and ethically. Link: https://lnkd.in/dnn4UFqw Starting from the details of the above materials, science News247 proposes analysis and predictability. The strong centers of science and research are evident in private where the state is no longer present due to the responsibility of evolution and the capitalization of the discovery in the national interest. Perhaps the greatest momentum of science reached during the Cold War period, where the "dictators" and the "free" invested massively in research and innovation, so that the foundation of the existence of research collapsed in more than half of the world and was only the prerogative of private property and not of the state. Scientific journals are not available to everyone because they are very rare to take over the regular media and why? Because a small percentage of the population knows the importance of science and innovation. The largest percentage is faced with a fait accompli and waits with interest or surprise for the appearance of technology launches or its restrictions. The questions are: Are scientists no longer credible and valuable enough to support science and its evolution that AI is already functional in fully automated autonomous labs? It is sublime to see how fast they evolve and even if the appearance of other and infinite technologies is almost imperceptible, why do scientists no longer find their place in the state's priorities through the existence of national academies? Is the human scientific world dividing and becoming a consumer of the discoveries offered by AI technology? The speed of implementation of AI technology is certainly cheaper than the training in time and space of a researcher who needs a life to scientific maturity and creation in comparison with AI in its current form. AI, genomics, biotechnology, medicine and other fields are t

New Post: Robert Williams: Where we are now in science and what awaits us in the new technologies of #artificialintelligence - https://lnkd.in/dQi8wt7S science needed to solve the problems of our rapidly changing world will spring from the ideas and talents of people from many backgrounds and skill sets. Discovery occurs when diverse perspectives come together to ask the right questions and answer them in new and innovative ways. Research now and in the future requires deep disciplinary knowledge that is not constrained within silos.  Research of the Future - Future of Science Carnegie Mellon University. Professor Ross King from Cambridge's Department of Chemical Engineering and Biotechnology, who originated the idea of a 'Robot Scientist', discusses why he believes that AI-powered scientists could surpass the best human scientists by the middle of the century, but only if artificial intelligence for science is developed responsibly and ethically. Link: https://lnkd.in/dnn4UFqw Starting from the details of the above materials, science News247 proposes analysis and predictability. The strong centers of science and research are evident in private where the state is no longer present due to the responsibility of evolution and the capitalization of the discovery in the national interest. Perhaps the greatest momentum of science reached during the Cold War period, where the "dictators" and the "free" invested massively in research and innovation, so that the foundation of the existence of research collapsed in more than half of the world and was only the prerogative of private property and not of the state. Scientific journals are not available to everyone because they are very rare to take over the regular media and why? Because a small percentage of the population knows the importance of science and innovation. The largest percentage is faced with a fait accompli and waits with interest or surprise for the appearance of technology launches or its restrictions. The questions are: Are scientists no longer credible and valuable enough to support science and its evolution that AI is already functional in fully automated autonomous labs? It is sublime to see how fast they evolve and even if the appearance of other and infinite technologies is almost imperceptible, why do scientists no longer find their place in the state's priorities through the existence of national academies? Is the human scientific world dividing and becoming a consumer of the discoveries offered by AI technology? The speed of implementation of AI technology is certainly cheaper than the training in time and space of a researcher who needs a life to scientific maturity and creation in comparison with AI in its current form. AI, genomics, biotechnology, medicine and other fields are