Aren’s Post

Thrilled to have presented our research paper at the 12th International Conference on Frontiers of Intelligent Computing Theory and Applications (FICTA-2024) held on 06th - 07th June 2024. It was an incredible opportunity to share insights on AI based Interviewing for Personality Detection and Assessment. Looking forward to further discussions and collaborations in this exciting field! #Research #FICTA2024 #Innovation #Networking"

Enter the Next Generation of Brain-Inspired Computing Researchers at the University of California - Santa Barbara are pioneering a revolutionary platform for brain-inspired computing that aims to bridge this gap. Here’s a glimpse into this groundbreaking development: Key Highlights: 1. Mimicking Neural Efficiency: Inspired by the remarkable energy efficiency of human brains, this new platform replicates neural processes, significantly reducing the energy consumption typically required by conventional computing systems. 2. Advanced AI Integration: This platform integrates advanced AI algorithms designed to function more like human cognition, enhancing computational capabilities while minimizing energy use. 3. Sustainable Computing: By drastically lowering energy requirements, this innovation paves the way for more sustainable and environmentally friendly computing solutions, addressing one of the major challenges in the tech industry today. 4. Enhanced Performance: Despite the lower energy consumption, this platform does not compromise on performance. It maintains high-speed processing and accurate data handling, making it ideal for a wide range of applications. 5. Versatile Applications: From smart devices to large-scale data centers, this brain-inspired computing platform has the potential to revolutionize multiple sectors, providing efficient and powerful computing solutions across the board. This pioneering effort underscores the limitless possibilities when we draw inspiration from nature’s own designs. The future of computing is not just about increasing power but doing so in a way that aligns with sustainability and efficiency principles. #Innovation #BrainInspiredComputing #AI #EnergyEfficiency #SustainableTech #FutureOfComputing #UCSB #TechRevolution #GreenTech

The Centre for Modelling and Simulation (CFMS) has been awarded £2.4 million of funding from the General Department of Science, Technology & Innovation to develop a system designed to tackle some of the biggest issues facing society. CEO Sam Paice explained: “Technology has a vital role to play in helping us deal with major and complex societal challenges, and finding solutions demands a novel and dynamic form of computing. With this funding, we’re poised to deliver a computer system that can cater for a wide spectrum of problems, keep pace with the relentless march of innovation and be flexible enough to manage extremely complex technology.” The project will complement other investments made into national infrastructure, including the University of Bristol’s Isambard AI machine. Read more: https://lnkd.in/gWMCC97P #PE #processengineering #materialsciences #ai #science #technology #funding

How crazy would it be if our computers could function just like our brains do? 🤯 💬 Turns out, we're one step closer than we think. Check out my recent piece on ANNs for neuromorphic computing, the first of many articles I'll be putting out during my Innovate year @ The Knowledge Society (TKS) - I couldn't be more excited to be diving head first into my focus area 🎊 🙌 Let me know your thoughts down below & don't be afraid to drop some love 🫶 https://lnkd.in/gPrUj8-F #tks #machinelearning #neuromorphic #systems #innovator #tech #article #neuralnetworks

🌟 Exciting Announcement: Introducing Quantum Connect - Austria's first Quantum Machine Learning Platform! 🌟 QMware AG is thrilled to support the launch of Quantum Connect, Austria's pioneering Quantum Machine Learning (QML) platform 🇦🇹 Initiated by Gradient Zero, funded by PQML, and with the support of QMware AG and PlanQK, this innovative #platform is designed to propel Austria to the forefront of #quantum technology and establish it as a hub of #QML expertise. 🌐 Building a Community of Innovators Quantum Connect is more than just a platform; it's a mission to cultivate a vibrant quantum machine learning #community both in #Austria and internationally. The platform offers a great opportunity for researchers, professionals, and enthusiasts to explore #QuantumComputing applied to machine learning. 🧠 Promoting Quantum #ML Competence We are committed to nurturing talent and skills in the field of #QuantumMachineLearning. Quantum Connect will host #workshops, #training sessions, and #networking events, empowering individuals and organizations to harness the potential of quantum computing in #MachineLearning. 🔗 Join us in this Quantum Journey! Whether you are from #academia, #industry, or just a #tech enthusiast, there's a place for you in the Quantum Connect community. Let's collaborate, innovate, and drive the #future of quantum machine learning together! Follow us for updates, and feel free to reach out if you're interested in learning more or joining our community. For more information, visit the website: www.quantum-connect.ai Let's make Austria a leader in quantum machine learning! #QuantumConnect #QuantumComputing #MachineLearning #Innovation #Technology #AustriaTech #QuantumMLCommunity

Are you at ASPLOS 2024 and interested in learning from the authors of widely popular #LLM libraries like #FlashAttention, #StreamingLLM, #GorillaLLM, and more? (Don't worry if you can't be in person, we've got you 📺) Join us for a workshop you won't want to miss! Here's why you should attend the EMC2 - Energy Efficient Machine Learning and Cognitive Computing workshop: We have a stellar speaker lineup featuring researchers including Tri Dao (Flash Attention), Song Han (StreamingLLM), Amir Yazdanbakhsh (Google DeepMind), and many more. And as a bonus, you get to hear first-hand about how d-Matrix is changing the economics of #llm inference. It's an opportunity to interact and learn from researchers affiliated with leading institutions like NVIDIA, Google DeepMind, University of California, Berkeley, Meta, d-Matrix, and many more. Don't miss out! #ASPLOS #SystemsResearch #MachineLearning #ArtificialIntelligence #LargeLanguageModels To learn more about the workshop and sign-up for the workshop, head to https://lnkd.in/gCVRkDvz P.S. Feel free to share this post with anyone in your network who might be interested!

"It was an enlightening experience to engage in insightful discussions about the future of AI and emerging tech trends with esteemed partners. Jason Mars, a distinguished professor of computer science at the University of Michigan, President of Jaseci Labs, and co-founder of Myca.ai, shared invaluable insights into the evolving landscape of artificial intelligence. And my friend esteemed academic Dr. Logeeshan, a Senior Lecturer at the Department of Electrical Engineering, added depth to our conversations with his expertise. Together, we explored the endless possibilities that lie ahead in the realm of technology. At a innovative tech company, we are committed to staying at the forefront of innovation, and these interactions reaffirm our dedication to driving technological advancement. Exciting times are ahead, and we look forward to harnessing the power of AI and cutting-edge tech to create a better tomorrow. #AI #FutureTech #Innovation #BCSTechnology"

🔬 🧠 #Scientists reveal the potential #impact of #Quantum #MachineLearning Algorithms on Industrial Applications. The field of machine learning is experiencing a potentially revolutionary turning point with the introduction of quantum machine learning algorithms. 🔍 These #algorithms promise to transform industrial applications, offering previously unthinkable solutions thanks to their ability to process information at speeds and with efficiencies unreachable by classical computers. One of the major obstacles in exploiting this #technology involves the encoding of classical data into #quantumcomputers, a process that is currently costly and limits the scale of experiments that can be performed with the current hardware. 💡 An international #research group, including #experts from the Technical University of Munich and the BMW Group, has made progress by improving a variational algorithm to prepare encoded data on shallow circuits, suitable for existing quantum computers. They tested their method on the FashionMNIST #dataset, achieving promising results that demonstrate the feasibility of the approach. These developments open the door to new possibilities, such as accelerated data processing and efficient solving of complex problems. ✅Opportunities and ❌Challenges: Speed and Efficiency: Quantum algorithms can process data at a speed unimaginable for current systems, offering innovative solutions. Practical Implementation: The challenge remains to develop efficient encoding methods and adapt existing hardware. #deeptech #hardteh #tech #innovation #techtrends #cheatsheet #emergingtechnologies #emergingtech #techinnovation #investing #market #business #money ------------------------ 💡Join The Scenarionist for essential resources and insights to stay ahead and be leaders in the dynamic world of Deep Tech.

Thrilled to announce my latest milestone! 🎉 Just received my certificate for presenting a paper at the prestigious conference on emerging smart and computing informatics. 📝 Our groundbreaking research focused on harnessing the power of deep learning approaches to revolutionize the field, exploring innovative applications and pushing the boundaries of what's possible. It's truly an honor to have the opportunity to share our findings and contribute to the advancement of technology and knowledge in this dynamic field. Huge thanks to my collaborators Jaspreet Kaur and Jasdeep Kaur and special thanks to mentor Jasneet Kaur for their invaluable support throughout this journey! Looking forward to continuing this exciting exploration and making even greater strides in the future. #DeepLearning #SmartInformatics #Computing #Research #Innovation"

🚀 Exciting News: My IEEE Conference Paper Published! 🌐 I am thrilled to announce the publication of my survey paper titled "IntelliFiber: Optical Network Optimization through Machine Learning Algorithms" in IEEE! 📚 In a world where communication networks are evolving at an unprecedented pace, the integration of Artificial Intelligence (AI) and Machine Learning (ML) is paramount. 🤖 My paper delves into the vital role of optical networks in communication systems, highlighting the challenges they face and the need for autonomous and flexible operations. Key Takeaways: 1️⃣ ML in Optical Networks: Explore the comprehensive breakdown of ML applications in optical networks, focusing on network management and resilience. 2️⃣ Method Evaluation: Dive into the evaluation and comparison of different ML methods across various use scenarios, shedding light on their efficacy. 3️⃣ ML Primer: Gain insights into the fundamentals of popular ML algorithms, ML paradigms, and the compelling reasons behind their application in optical networks. 4️⃣ Challenges & Solutions: Uncover the challenges associated with ML in optical networks and discover potential remedies, aiming to inspire further research and development in this dynamic field. 📖 Read the full paper: For those interested in delving into the details, you can access the full paper on IEEE to explore the comprehensive insights and findings: https://lnkd.in/g5Jnvrrp Thank you, Amit Kumar Nayak Sambhram Pattanayak, for the collaboration. #MachineLearning #OpticalNetworks #Innovation #IEEE