It’s almost here! Tomorrow is the free, corporate tech talk on AI: Policy, Risk, and Governance by IEEE. Join us virtually or in-person at Northeastern University’s Silicon Valley California Campus. Presentations start at 12pm ET / 9am PT. See you there! 🔗 https://loom.ly/2X5AiK8 #AI #Event #Free #Presentation #Discussion #RegisterNow #Tech #STEM #Education #Engineering #Engineer #Engineers #EngineeringLife #IEEE #IEEEXplore #Ethical #Certified #RegisterToday #STEMEducation #SignUp #Corporate #Networking #TechTalk #InPerson
IEEE Xplore’s Post
More Relevant Posts
-
🌟 Big News! 🌟 Research Paper Title : "Forecasting Stock Markets Trends using Machine Learning Algorithms" Our team, including Lahari Kotapati , Reethu Bhargavi Sajjala , Sricharan Gudi , just published a paper in IEEE! Huge thanks to Dr.Murali Krishna Enduri sir for their invaluable contribution. 👀 Our project focuses on Navigating the stock market's fluctuations is challenging due to economic, political, and social factors. Investors are turning to machine learning for better strategies and informed decisions. Our study evaluates various ML algorithms for predicting stock movements, including Logistic Regression, K-Nearest Neighbours, SVM, Random Forest, Decision Tree, Naive Bayes, LSTM, Multilayer Perceptron, and XGBoost. The Multilayer Perceptron outperformed others in accuracy, precision, recall, and F1 score, demonstrating its capability to understand complex patterns from historical data. These insights highlight AI's potential in enhancing investment decisions. 📊🤖 #MachineLearning #StockMarket #InvestmentStrategies #ArtificialIntelligence #DataScience #FinancialTechnology #Investing #ML #AI #Fintech #IEEE #Conference https://lnkd.in/geJBjMqT
Forecasting Stock Markets Trends using Machine Learning Algorithms
ieeexplore.ieee.org
To view or add a comment, sign in
-
Afribold Quantum Opulence Trading Robot https://lnkd.in/dx3vniiv (Click the link- free download demo) Quantum-powered precision: Cutting-edge trading algorithms, trained on vast troves of historical data and real-time market movements, predicts price fluctuations with unrivaled accuracy for maximum profit.
A new model called FMA-Net can turn blurry, low-quality videos into clear, high-quality ones. It accurately predicts the degradation and restoration processes through advanced learning of motion patterns. It uses a method called Flow-Guided Dynamic Filtering (FGDF, similar to motion tracking in software development) to correct blur from movement. The second part of the model called Feature Refinement with Multi-Attention (FRMA, like iterative improvement in software development), progressively enhances video quality. https://lnkd.in/grHQ8x-m ↓ Are you technical? Check out https://AlphaSignal.ai to get a weekly summary of the latest models, repos and papers in AI. Read by 150,000 engineers and researchers.
To view or add a comment, sign in
-
🌟 Exciting News! 🌟 I'm thrilled to announce that I’ve published my first research paper on "Forecasting Stock Market Trends using Machine Learning Algorithms" 📈🤖 Our collaborative effort, with Hareesh Beecha, Reethu Bhargavi Sajjala, and Sricharan Gudi, has been recognized in IEEE! A heartfelt thanks to Dr. Murali Krishna Enduri for their invaluable guidance and support. As stock market prices changes due to various factors, it creates a challenging environment. My study explores the use of machine learning to predict these fluctuations, comparing algorithms like Logistic Regression, KNN, SVM, Random Forest, Decision Tree, Naive Bayes, LSTM, MLP, and XGBoost. The Multilayer Perceptron stood out as the top performer, showcasing its ability to learn from historical data and predict complex trends accurately. This research provides valuable insights for investors aiming to leverage machine learning for better decision-making. #MachineLearning #StockMarket #Research #Investment #AI #DataScience #PredictiveAnalytics #IEEE #Innovation #TeamWork #AcademicResearch
Forecasting Stock Markets Trends using Machine Learning Algorithms
ieeexplore.ieee.org
To view or add a comment, sign in
-
A new model called FMA-Net can turn blurry, low-quality videos into clear, high-quality ones. It accurately predicts the degradation and restoration processes through advanced learning of motion patterns. It uses a method called Flow-Guided Dynamic Filtering (FGDF, similar to motion tracking in software development) to correct blur from movement. The second part of the model called Feature Refinement with Multi-Attention (FRMA, like iterative improvement in software development), progressively enhances video quality. https://lnkd.in/grHQ8x-m ↓ Are you technical? Check out https://AlphaSignal.ai to get a weekly summary of the latest models, repos and papers in AI. Read by 150,000 engineers and researchers.
To view or add a comment, sign in
-
This is definitely going to be very promising to lower the barrier of produce high quality with lower-cost camera. Creators can focus on content and scripting much more. I wonder how Topaz Labs (current industry bar of de-blurrying)'s video AI would respond to this. Absolutely will follow the updates to see what's coming. https://lnkd.in/gvF25Y-z
A new model called FMA-Net can turn blurry, low-quality videos into clear, high-quality ones. It accurately predicts the degradation and restoration processes through advanced learning of motion patterns. It uses a method called Flow-Guided Dynamic Filtering (FGDF, similar to motion tracking in software development) to correct blur from movement. The second part of the model called Feature Refinement with Multi-Attention (FRMA, like iterative improvement in software development), progressively enhances video quality. https://lnkd.in/grHQ8x-m ↓ Are you technical? Check out https://AlphaSignal.ai to get a weekly summary of the latest models, repos and papers in AI. Read by 150,000 engineers and researchers.
To view or add a comment, sign in
-
Leveling up my AI skills! Just completed the "Fundamentals of Computer Vision" module on Microsoft Learn. Excited to see how this can be applied to real-world problems. #computer vision #AI #MicrosoftLearn https://lnkd.in/dJiDx9BR
Fundamentals of Computer Vision
learn.microsoft.com
To view or add a comment, sign in
-
Today I earned my "Fundamentals of Computer Vision" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! SR University EEE SR University electrAIfy_Club_ sru Thank you SR University EEE SR University electrAIfy_club_SR u #ai #machinelearning #deeplearning #microsoftazure #microsoftazuremachinelearning
Fundamentals of Computer Vision
learn.microsoft.com
To view or add a comment, sign in
-
Today, I earned my "Fundamentals of Computer Vision" badge! I'm thrilled to celebrate this achievement and hope it inspires you to embark on your own journey. #ComputerVision #AI #ImageProcessing #ProfessionalDevelopment
Fundamentals of Computer Vision
learn.microsoft.com
To view or add a comment, sign in
-
Today I earned my "Fundamentals of Computer Vision" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! Thanks SR University EEE SR University electrAIfy_Club_ sru #AI #machinelearning #deeplearning #microsoftazure #microsoftazuremachinelearning
Fundamentals of Computer Vision
learn.microsoft.com
To view or add a comment, sign in
-
Actively Seeking an Internship opportunity for Fall 2024 | MS Computer Science @ GSU | PYTHON | AWS certified | SQL Expert | C | Node.js | Data Science |
Today I am excited to share that I have earned my "AI Fundamentals of Computer Vision" badge! This badge represents my knowledge of how artificial intelligence works and how it detects objects. I am proud to have gained this expertise and look forward to applying it in my work. #ArtificialIntelligence #ComputerVision #AIExpertise
Fundamentals of Computer Vision
learn.microsoft.com
To view or add a comment, sign in
26,691 followers