Farley S. Nobre, Ph.D.’s Post

Exciting Announcement: Join Us at the International Conference on Robotics, Machine Learning, and Artificial Intelligence (ICRMLAI) 07th Aug 2024 at Ho Chi Minh City, Vietnam Dear Innovators, Researchers, and Tech Enthusiasts, We are thrilled to announce the upcoming International Conference on Robotics, Machine Learning, and Artificial Intelligence (ICRMLAI), set to be held from 7th Aug 2024 at Ho Chi Minh City, Vietnam. This conference promises to be a landmark event where pioneers from around the globe will converge to explore, discuss, and push the boundaries of these cutting-edge fields. What to Expect: At ICRMLAI, you can expect a dynamic blend of keynote speeches by industry leaders, thought-provoking panel discussions, insightful paper presentations, and hands-on workshops. Whether you are a seasoned researcher, a budding entrepreneur, or simply curious about the latest advancements in AI and robotics, this conference offers something for everyone. Topics Covered: Robotics and Automation Machine Learning and Deep Learning Artificial Intelligence Applications Human-Robot Interaction Autonomous Systems Ethical AI and Bias Mitigation Robotics in Healthcare and Industry 4.0 Reinforcement Learning Natural Language Processing and much more! Call for Papers: We invite researchers to submit their original contributions in the form of research papers, case studies, or posters. Accepted submissions will be presented at the conference and published in the proceedings, ensuring visibility and impact within the global scientific community. Registration Details: https://lnkd.in/dPRyfZZu Connect With Us: Call/Whatsapp:+91-8280047487 E-mail: sarc.net.in@gmail.com www.sarc.net.in #InternationalConference2024 #allconferencealert #sarcconference #upcomingconference #vietnam #vietnamconference #Robotics #machinelearning #artificialintelligence #AI #deeplearning #neuralnetworks #computervision #autonomoussystems #RoboticsResearch #mlalgorithms #naturallanguageprocessing #roboticstechnology #AIEthics #IntelligentSystems #industry40 #SmartRobotics #ReinforcementLearning #datascience #JournalPublication

🚀 MIT’s Breakthrough in AI Training! 🌟 MIT researchers have developed Model-Based Transfer Learning (MBTL), a revolutionary algorithm that drastically improves the efficiency and reliability of training AI systems for dynamic, real-world tasks like urban traffic management. 🔑 Why MBTL Matters • 5x to 50x more efficient than current methods. • Trains on a small subset of tasks while performing well on many others. • Reduces computational costs and training time significantly. With MBTL, AI can now tackle complex challenges in fields like urban planning, robotics, and healthcare, making safer, smarter, and more sustainable systems a reality. As Cathy Wu from MIT puts it: “Simpler algorithms stand a better chance of being adopted—and MBTL exceeded expectations!” Could MBTL redefine how we approach AI innovation in fields like transportation or medicine? What’s your take? 👇 #AI #Innovation #TechBreakthrough #UrbanPlanning #FutureOfAI #DataScience

☄️"Envisioning a Smarter Future: AI's Role in Daily Life" 🚀 🌟 A Conversation on AI with future 🌟 In a bright classroom buzzing with anticipation, a curious student named Anya approached her lecturer, Mr. Siriwardhane. "Sir, I’ve been reading about AI and its impact. Is it really changing our world?" Mr. Siriwardhane smiled. "Absolutely, Anya! Look at how AI revolutionized healthcare. For instance, algorithms can now analyze medical images faster than radiologists, detecting diseases early." "That’s incredible!" Anya exclaimed. "But what about the future? Will AI take our jobs?" "That's a common concern," Mr. Siriwardhane replied. "While AI automates tasks, it also creates new opportunities. Think of AI in agriculture; drones optimize crop management, boosting yield and sustainability." Anya nodded, her interest piqued. "So, AI is a tool for innovation?" "Exactly!" he said. "It’s not about replacing us but enhancing our capabilities. Imagine AI helping teachers tailor lessons to individual needs." As the bell rang, Anya felt inspired. "I see now, Sir! The future of AI is bright, and I want to be part of it." "With that passion, you will be," Mr. Siriwardhane replied, encouragingly. The future indeed awaits those ready to embrace it. 🤖 🌟 ✍️ Written by : Malsha Kodagoda | 23rd of september in 2024 #artificialintelligence #informationtechnology #machinelearning #AIethics #futureAI #robotics #computerscience #AI

Robots that appear imperfectly human can be eerie, a phenomenon Masahiro Mori dubbed the uncanny valley. This study opens avenues for future research into the complex relations between human perception and the design of AI systems. In this interview, I challenge the idea that attributing humanlike consciousness to machines is the main cause of the eerie feeling these robots evoke. A meta-regression analysis and new experiments indicate past studies on 'mind perception' theory might be flawed, as individuals who attribute sentience to robots do not necessarily find them eerier due to their human resemblance. Rather, the uncanny valley is rooted in automatic and stimulus-driven perceptual processes. Although ascribing mind to machines is creepy in certain contexts, perceiving consciousness in humanlike machines is not inherently creepy. Rather, attributions of mind exacerbate the creepiness of machines already in the uncanny valley. As machines approach a more humanlike appearance, mind attributions could actually reduce their perceived eeriness.

The engineering world is on the cusp of a revolution, powered by the latest advancements in Artificial Intelligence (AI). From self-learning machines that redefine the boundaries of innovation to AI-driven analytics transforming problem-solving methodologies, the impact is profound and far-reaching. One of the standout developments is in robotics, where engineers are crafting machines capable of learning and adapting to their environments. These advancements are not just theoretical; they're being applied in fields such as disaster recovery and space exploration, showcasing the practical benefits of AI in engineering. Moreover, AI's role in data analysis is revolutionizing the way engineers approach design and problem-solving, leading to more efficient and precise outcomes. As we navigate this exciting era of technological evolution, the possibilities seem limitless. Stay tuned as we explore how AI is setting the stage for a new era of engineering excellence. #AIInEngineering #Innovation #EngineeringRevolution 

🤖 AI: Not Just for Robots Anymore – Hilarious Insights from Our Latest Trends Discussion 💣 Recently, we had a fantastic opportunity to join a discussion on the latest trends in artificial intelligence. In today's world, where AI is permeating all aspects of our lives, it is crucial to understand its potential, challenges, and ethical implications. 👉 Our experts from various fields, including AI business applications, advanced AI technology development, and scientific research, spoke about the current and future applications of AI. We explored how AI is transforming healthcare and scientific discoveries, discussed the challenges in data management, and shared visions on how AI is shaping our future. These discussions are essential for understanding and effectively utilizing AI in various industries. About the Speakers: ✅ Ján Kmeťko is one of the co-founders of K.B. Systems s.r.o. Ján is a software developer and analyst specializing in SEO and UX. He is also an investor and consultant in several other companies, most of which are IT-related. ✅ Marek Šebo is the founder and director of Cognexa, a company specializing in machine vision and artificial intelligence (AI) technologies. Cognexa helps innovators in various types of companies assess the potential of AI in their processes or products, design, and develop custom AI solutions. ✅ Filip Uhlarik studied nuclear engineering at FEI STU. During his Erasmus in Milan, he began focusing on artificial intelligence within the subject of medical robotics. He worked at ESET and is currently employed at Gerulata Technologies, which focuses on monitoring and analyzing the information space. We thank everyone who participated and contributed their insights to this inspiring discussion! #ai #artificialintelligence #lifbee #academy

Tetsuwan Scientific, founded by Cristian Ponce and Théo Schäfer, is developing robotic AI for experiments. The use of AI, like GPT-4, helps the robots interpret and execute scientific tasks. This innovation aims to automate the scientific method, boosting efficiency in labs. #AiScientists #TetsuwanScientific #Bioengineering https://lnkd.in/gcMH5CN7

“The fusion of Generative AI and robotics is revolutionizing industries and our daily lives. From creative applications to industrial efficiency, the possibilities are endless.” Generative AI and robotics are rapidly advancing, with universities, research labs, and tech giants investing heavily in these technologies. With the potential to transform industries and improve our daily lives, the interest and funding in this field continue to grow. Advancements in Generative AI, such as GANs and VAEs, are supplementing human creativity and understanding, leading to breakthroughs in image synthesis, data augmentation, and cross-modal learning. The convergence of Generative AI and robotics is facilitating significant improvements in robotic capabilities and applications, from improving dexterity and navigation to enhancing industrial efficiency. This intersection also offers exciting prospects for the future, such as Reinforcement Learning and few-shot learning, which promise even greater advancements. How do you see Generative AI and robotics transforming industries and our daily lives in the future? --- Hi, 👋🏼 my name is Doug, I love AI, and I post content to keep you up to date with the latest AI news. Follow and ♻️ repost to share the information! #generativeai #robotics #futureoftechnology

This Wednesday I participated to the AI, Data and Robotics info Day organised by #ADRA the AI, Data and Robotics Association, European Commission and #Ideal-ist https://lnkd.in/eaDd_KNs I presented our expertise in #AI #DeepLearning #LLM as well as the OpenLLM 🇫🇷 🇪🇺 initiative I showed the open source models we have developed: #Claire and the on-going training of #Lucie https://lnkd.in/eB4-j6dP We are targeting the following research topics: HORIZON-CL4-2024-HUMAN-03-01: Advancing Large AI Models: Integration of New Data Modalities and Expansion of Capabilities HORIZON-CL4-2024-HUMAN-03-02: Explainable and Robust AI Please do not hesitate to contact me if you are: - An academic or industrial partner with expertise on Gen-AI models architectures - An open organizations or communities involved in Gen-AI and sharing our view on open source for sovereignty - An industrial organizations providing data useful to to develop multimodal models

Fields such as robotics, medicine, and political science are leveraging AI to make meaningful decisions, from controlling traffic in congested cities to improving safety and sustainability. While reinforcement learning (RL) underpins many of these advancements, its applications often falter when faced with task variability. Researchers at MIT have tackled this issue by developing a Model-Based Transfer Learning (MBTL) algorithm that strategically selects key tasks for training. This innovative approach enhances the efficiency of RL systems, enabling AI to perform better in dynamic and complex scenarios like traffic signal control. The MBTL algorithm improves training by focusing on a subset of tasks with the highest impact on overall performance, reducing computational costs while maximizing accuracy. When tested on various simulated scenarios, MBTL proved five to 50 times more efficient than traditional methods, demonstrating its potential for real-world applications. By identifying and prioritizing critical tasks, this method paves the way for scalable solutions in next-generation mobility systems and beyond. Future plans include extending MBTL to high-dimensional spaces and tackling more intricate challenges. #ArtificialIntelligence #ReinforcementLearning #TrafficControl #SustainableAI #EfficientAI #ModelTransferLearning #NextGenMobility #AIResearch #ScalableSolutions #MachineLearning Article Link: https://lnkd.in/ej6fnhsm