HCLTech’s Post

about cnn project 🚀thrilled to unveil my latest endeavor: object detection by using yolov8 through advanced deep learning techniques I have enabled to seamless and precise and identification of object and images,videos.Excited to explore the endless possibility this inovation involves across industries. it is also used in classification technique to detect the objects present at the place.👍😃 AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society Bharat Intern Internshala Infosys #AICompetition, #ChatbotChallenge, #AIMERS, #AIMERSociety, #OpenCV, #AIForGood, #TechInnovation, #AIRevolution, #ChatbotTech, #APSCHE, #IndianServers, #MachineLearning, #AICommunity, #FutureOfAI, #BOT

🎉 Excited to share that I've successfully completed a 2-day offline workshop on Artificial Intelligence with Machine Learning! 🚀 Huge thanks to Ethical Edufabrica Pvt. Ltd Pvt. Ltd. and Pravega, IISc , IISc Bangalore for organizing this insightful event. Special gratitude to Praneeth Kumar Palepu Kumar Palepu for guiding us through the fascinating world of AI and ML. Looking forward to applying these learnings in practical scenarios! 👩💻🧠 #AI #MachineLearning #LifelongLearner

Just attended an insightful webinar by NVIDIA on "Essential Training and Tips to Accelerate Your Career in AI" presented by Louis Stewart, Lauren Silveira, Kevin McFall, Sabrina K. and David Ajoku, P.E. I am thrilled to have learned so much from industry experts about the skills and strategies needed to thrive in the rapidly evolving field of AI. The session covered key areas such as: 🔍 Identifying essential AI skills and certifications 📚 Recommended training and educational resources 🤝 Networking strategies and professional development tips 💼 Navigating career opportunities and staying ahead in the AI landscape Feeling inspired and motivated to apply these valuable insights to my own career journey. Excited to dive deeper into AI and make meaningful contributions to this transformative field. Let's connect and share our AI experiences and aspirations! #AI #CareerDevelopment #ProfessionalGrowth #AITraining #MachineLearning #DataScience #ArtificialIntelligence #TechCommunity #ContinuousLearning #NVIDIA

Algorithms driving cell search: A crucial scientific advancement #CellSearchAlgorithms 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: The article discusses the challenges of using deep learning algorithms to segment cellular and subcellular features in biological imaging experiments. It highlights the difficulty of mimicking human vision and the recent advancements in deep learning, particularly the use of U-Net architecture. The article also discusses the importance of training data sets and the strategies being developed to streamline the process of training algorithms for new tasks. Overall, the article emphasizes the increasing role of computational tools in life-science research. Hashtags: #chatGPT #cellsearchalgorithms #algorithmiccellsearch

Greetings everyone, I’m sharing some insights on the intersection of machine learning and biotech in my latest document, "Applications of Machine Learning Techniques in the Biotech Industry." ML is driving breakthroughs across the biotech landscape, from revolutionizing molecular diagnostics to optimizing assembly line manufacturing processes. 🔬💡 🚀 Check out a sneak peek of some ML techniques included in the document and some of their applications: 1. Random Forest Classifier: Predicting outcomes improves efficiency and quality control. 2. Support Vector Machines (SVM): Guides personalized medicine efforts and improves bioprocess performance. 3. K-Means Clustering: Aids in assay development and disease mechanism studies while optimizing processes. 4. Neural Networks: Identifies molecular targets, drives efficiency and yields improvements. 5. Principal Component Analysis (PCA): Provides insights for process variability and optimization. 6. Hidden Markov Models (HMM): Optimizes manufacturing processes for efficiency and reliability. 7. Gaussian Mixture Models (GMM): Facilitates targeted interventions and quality control. 8. Decision Trees: Identifies key factors influencing performance and efficiency. 9. Recurrent Neural Networks (RNN): Enhances productivity and yield in various biotech applications. 10. Convolutional Neural Networks (CNN): Ensures product quality and process optimization. 11. Long Short-Term Memory (LSTM): Helps understand dynamic biological processes and optimizes bioprocesses. 12. Gradient Boosting Machines (GBM): Personalizes treatments and optimizes production processes. NOTE: Python and R code were used to generate synthetic data, execute the models, and produce the visualizations for the document. ML is an essential skill for Process Engineers to implement. Drawing from my experience working at companies implementing ML for early disease diagnosis, I witnessed firsthand the critical importance of data quality to achieve accurate results. It's essential to approach ML cautiously, considering data quality's profound influence on outcomes. If any aspect of the document sparks your interest or you know companies that could benefit from these techniques, please don't hesitate to reach out. Let's continue innovating and democratizing scientific discovery! 🧬💡🧠  💪 Happy exploring! -Jose Bautista MSc. #Biotech #MachineLearning #Innovation #Biotechnology #MLTechniques #ProcessEngineering #Manufacturing #DataAnalytics #Biochips #Innovation #Optimization #DataScience #MolecularDiagnostics #DataQuality #Innovation #Automation #R #Python #Visualizations #DataAnalisis #DataAnalytics #ProcessEngineering #OperationsEngineering #PythonCode #Bioinformatics #ProductionScaleUp #ProcessOptimisation #ProcessesImprovement #Automation #AccelerateDiscovery #DeepLearning #Collaboration #DemocratizeScience #Science #Tech #MLInBiotech

If you're thinking about getting into AI engineering, here are a few things to keep in mind. Starting out in AI at the junior level can be challenging. There's a lot of competition, even if you have advanced degrees like a master's or PhD. Every year, more people with PhDs specializing in AI join the field. Finding a job quickly and easily in AI is not common. In comparison, other fields, though challenging, may have more opportunities for those who are just starting their careers. See more videos here 👉 https://lnkd.in/ghemct-g #AIEngineering #CareerAdvice #CareerGrowth #MLEngineering

🚀 Exciting News! 🚀 I'm thrilled to share my recently crafted resume focusing on CNN technologies and Hyper-parameters. 📑💻 🔍 As the world of artificial intelligence and machine learning continues to evolve, understanding Convolutional Neural Networks (CNN) and the intricacies of hyper-parameters is crucial. 🧠💡 📌 In my resume, I've highlighted my expertise in: 👉 CNN Architectures 👉 Hyper-parameter Optimization 👉 Deep Learning Frameworks 👉 Model Tuning I'm ready to take on new challenges and explore innovative solutions in this ever-changing field. 🌟 Let's connect and explore opportunities to collaborate, share insights, and stay at the forefront of AI and ML advancements. 🤝🚀 #AI #MachineLearning #CNN #Hyperparameters #Resume #Tech #Innovation

Virtualization has become an essential part of our daily lives, and it's fascinating to see how AI is transforming the way we interact with technology. The world is now a virtual computer, and the systems that we've created simulate our thoughts and visions into a mixed reality. The possibilities of machine vision and spatial intelligence are endless, and it's only a matter of time before we see the impact of this technology. #NVIDIA #Mixedrealities #Tech #AI #Machinevision #Spatialintelligence Read more about how Digital Biology will disrupt everything: https://lnkd.in/grJRS934

In this market, finding good AI talent is hard. Luckily BAIR is here to make your life easier! They've helpfully compiled a list of our newest graduates that are entering the market. If you're hiring, please give them a look!

Here are the emerging technologies that will create the most job opportunities in 2024 and how professionals can upskill for them: #TechWrapIndia #LinkedInNewsIndia well, prediction of future is always tricky, however seeing current trends n demands, in my opinion, professionals can prepare for generative ai and machine learning, data science, flexible neural networks, digital skills and applications then quantum computing, robotic process automation and technology integration are the prime areas in which professionals can position themselves to take advantage on job opportunities created by emerging technologies in 24. The key is to stay informed, be open to learning new skills and be adaptable to change. ✌️😊