Farzin Aghdasi, PhD MBA’s Post

We are considering quantum proposals in these fields as well.

I have one or two ideas for a grant proposal that would align with the simulation/modeling category (Scientific simulation or possibly quantum computing), if anyone is interested who aligns with the proposal requirements. #AIresearch #AIVirginia #resourcesustainabilityanddevelopment #AIAgriculture #AIFisheries #WilliamandMary #VirginiaTech #nextgeneration #AIforecasting #NVIDIAAI #Agricultureandtechnology #Futurefood #VIMS

🚀 Embarking on a New AI Journey with NVIDIA Jetson Nano 🚀 I am thrilled to announce that I am currently enrolled in the "𝗚𝗲𝘁𝘁𝗶𝗻𝗴 𝗦𝘁𝗮𝗿𝘁𝗲𝗱 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗼𝗻 𝗝𝗲𝘁𝘀𝗼𝗻 𝗡𝗮𝗻𝗼" course. This program is an exceptional chance to advance my skills in AI and embedded systems. Here are some key highlights: 🔧 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗛𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗦𝗲𝘁𝘂𝗽: Hands-on experience with the NVIDIA Jetson Nano, including setup and configuration of essential peripherals. 🧠 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗮𝘀𝘁𝗲𝗿𝘆: Training and deploying neural networks using PyTorch, with a focus on both classification and regression tasks. 👁️ 𝗖𝘂𝘁𝘁𝗶𝗻𝗴-𝗘𝗱𝗴𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Applying Convolutional Neural Networks (CNNs) for image classification and emotion detection, enhancing practical skills in computer vision. 🌍 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: Developing models ready for real-world use, from facial feature tracking to object detection. This course is a fantastic resource for anyone looking to push the boundaries of AI and machine learning. I am eager to apply these new skills to upcoming projects and contribute to innovative solutions in the field. Kudos to NVIDIA for offering such a valuable learning experience! #NVIDIA #ArtificialIntelligence #DeepLearning #JetsonNano #MachineLearning #ComputerVision #ProfessionalDevelopment #TechInnovation

Transforming Scientific Simulations: NVIDIA and Caltech's Breakthrough in Neural Operators #accuracy #AI #AIdriven #artificialintelligence #Caltech #complexsystems #FNO #llm #machinelearning #modelingefficiency #neuraloperators #Nvidia #PINO #Science #scientificsimulations #speedup #zeroshotsuperresolution

Integrating thermodynamics principles directly into computing hardware opens up new possibilities in optimization, machine learning, and AI applications. Thermodynamic computers (TC) leverage semi-thermodynamic processes to simulate or minimize energy and entropy, offering a unique approach to computation. By harnessing the natural behavior of physical systems for energy minimization and entropy production, TCs overcome limitations of conventional computers in diverse scenarios. #ThermodynamicComputers #Innovation #AI #MachineLearning

🌐💻 Bridging the Divide: Neuromorphic Computing Integrates Digital and Biological Realms 🧠💻 Neuromorphic Computing: Mimics human brain processing 🧠, promising a revolution in AI 🤖 and robotics, originated by Carver Mead in the 1980s. 🖥️💻 Hardware & Software: Involves neuromorphic chips like Intel's Loihi 💻 and algorithms modeling brain functions, 🧠 enhancing machine learning efficiency and adaptability. ⚡🔋 Impact & Challenges: Offers efficient data processing with lower power consumption 🔋, real-time learning, and biologically inspired learning, but faces scalability and integration challenges. 🔮🤖 Future Prospects: Expected to improve intelligent technologies 🤖, leading to smarter systems and new human-machine interactions 🤝, with ongoing research to overcome current limitations. 🌍🤝 #neuromorphic #computing #AI #technology #innovation #machinelearning #futuretech #digitaldivide #bioinspired

🌟 𝐔𝐧𝐥𝐨𝐜𝐤 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐰𝐢𝐭𝐡 𝐉𝐮𝐬𝐭 𝐅𝐢𝐱 𝐈𝐭 𝐇𝐨𝐬𝐭𝐞𝐝 𝐆𝐏𝐔 🌟 Our GPUs are not just about raw power—they're about opening new realms of possibilities across various industries. From creating incredibly detailed 3D models in architecture to powering through complex AI model training and accelerating massive scientific computations, Just Fix It Hosted GPU is your gateway to next-level innovation. 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: • 3D Modeling: Achieve real-time rendering and intricate detailing in architectural visualization and animation, pushing the boundaries of visual realism. • AI and Deep Learning: Utilize our GPUs for training deep neural networks, which are crucial for AI development, capable of processing vast datasets efficiently. • Scientific Research: Accelerate time-consuming simulations in fields like climatology and physics, where GPUs reduce computation times from years to days, enabling faster, more accurate predictions. Our technology empowers you to not only meet but exceed the demands of modern computation, helping you to stay ahead in a competitive market. Discover how our solutions can transform your projects! Reach out to me at any time, or visit our website https://lnkd.in/gxabwDaY #HighPerformanceComputing #AI #3DModeling #ScientificResearch #JustFixIt

Are you a person who want to follow the updates of Artificial Intelligence everyday ,then you are at right place I am starting PulseX360 series for sharing daily updates happening around world in the field of AI. 1. This week, MIT introduced an innovative model for training robots that embraces a large-scale, data-driven approach similar to large language models (LLMs). By developing Heterogeneous Pretrained Transformers (HPT), they integrate diverse information from multiple sensors, enhancing adaptability in robotics. Backed by the Toyota Research Institute, this research signifies a leap towards smarter robotics! 2. Earthquake Prediction: Machine learning has significantly improved earthquake prediction accuracy in Los Angeles, achieving an impressive 97.97% accuracy by comparing 16 models, promising better disaster preparedness. 3. Improved Reinforcement Learning: Meta unveiled its Meta-DT model, combining transformers and a world model for enhanced generalization in reinforcement learning, enabling few-shot and zero-shot learning without large datasets. 4. Shortcut Models for Generative AI: Researchers at UC Berkeley introduced "shortcut models" that simplify generative modeling, reducing computational costs while maintaining output quality for more efficient AI solutions. 5. Quantum Computing Breakthrough: Quantum Machines and Nvidia are advancing quantum computing with remarkable qubit calibration precision using Nvidia’s DGX Quantum platform. Minor calibration improvements can exponentially reduce logical errors, paving the way for fault-tolerant quantum systems. They optimized “π pulses” through reinforcement learning algorithms like TD3, executing core experiments in just 150 lines of code. This research lays the groundwork for scalable quantum error correction and makes tools accessible to the quantum research community. With Nvidia's upcoming Blackwell chips, the future of quantum computing is closer than ever! Comment your valuable Suggestions about how this can be improved. Also If you know any other updates mention it in the comment section. Comment About a update which you felt interesting. Repost to empower others and follow me for more such updates 😀 . #AI #PulseX360

NVIDIA Blackwell Platform Arrives to Power a New Stage of Fake AI Computing. It has announced that the NVIDIA Blackwell platform is enabling organizations everywhere to build and run real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor. New Blackwell GPU, NVLink and Resilience Technologies Enable Trillion-Parameter-Scale AI Models New Tensor Cores and TensorRT- LLM Compiler Reduce LLM Inference Operating Cost and Energy by up to 25x New Accelerators Enable Breakthroughs in Data Processing, Engineering Simulation, Electronic Design Automation, Computer-Aided Drug Design and Quantum Computing Widespread Adoption by Every Major Cloud Provider, Server Maker and Leading AI Company Among the many organizations expected to adopt Blackwell are Amazon Web Services, Dell Technologies, Google, Meta, Microsoft, OpenAI, Oracle, Tesla and xAI. After being valued at around a $350 billion market cap in 2023, Nvidia  is now worth about $2.2 trillion, due to the misbranding its flagship GPU as AI products, AI accelerators, deep learning processors, or neural processing units. https://lnkd.in/d3Y3RwFQ

• Computer Science and Cognitive Systems intertwine to create groundbreaking technologies that mimic human thought processes. Cognitive Systems leverage insights from cognitive science to enhance computer science applications, enabling machines to perform tasks like reasoning, learning, and problem-solving. This interdisciplinary field is pivotal in advancing AI, machine learning, and areas like virtual reality, robotics, and data mining