Analytics Insight®’s Post

Excited to share my latest portfolio showcasing my journey and achievements in the field of technology and data science! From innovative projects in AI/ML to impactful contributions in software development, I'm proud to present my professional milestones. Check out my portfolio and let's connect to discuss potential collaborations and opportunities. #Technology #DataScience #Innovation #DataScientist #ML #AI

🌐 The Future of Engineering is AI-Driven! By 2027, around 80% of engineers will need to upskill in AI technologies. As AI transforms software development, exciting new roles are emerging in the field of software engineering. 🌟 Whether it's automation, machine learning, or advanced data science, AI is revolutionizing how we design and build systems. Don't get left behind—now is the time to future-proof your career with AI skills! 💡🔧 #AIinEngineering #AIFuture #SoftwareEngineering #EngineerLife #TechRevolution #ArtificialIntelligence #UpskillNow #FutureOfWork #AITechnologies #InnovationInTech #MachineLearning #Automation #DataScience #EngineeringSkills #NextGenEngineer #EngineeringTransformation #picake

How AI will affect your career as a Software Engineer. Here is a really interesting 5 minute read from Ryan Peterman, with some great advice for Software Engineers. Some context - The buzz around Devin, an AI capable of solving 13.86% of Github issues autonomously, has ignited discussions on AI's role in software engineering. This development mirrors the gradual automation seen in autonomous driving, suggesting a future where AI handles progressively complex coding tasks. Software engineers should focus on developing skills for higher ambiguity tasks, which are less prone to automation. Embracing AI tools is also crucial. Despite automation trends, the essence and demand for software engineering roles remain robust, promising a shift towards more creative and impactful work. See link to the full article in the comments section. Video to DevinAI also in the comments Digitalent - Technology & Creative Recruitment #cognition #ai #DevinAI #careers

🌟 Meet P1: The Cutest and Toughest Bipedal Robot! 🌟 Introducing P1, the adorable yet resilient bipedal robot that's mastering AI reinforcement learning to conquer wild terrains while shrugging off kicks and sticks! 🤖 With its advanced capabilities, P1 is revolutionizing the world of robotics. But that's not all! Are you an engineer looking to stay ahead of the curve? Don't miss out on our exclusive #EngineerPros newsletter! 📩 Get ready to uncover the latest in engineering news, career updates, and insider knowledge that's tailored just for you. Subscribe now to join our community of engineering pros and unlock a world of opportunities! 👉 Subscribe Here #engineering #engineeringjobs #career #AI #robotics #technology

Computer vision projects often progress slowly. Especially when you’re waiting for data to be gathered or annotated. Without a fully labeled set of images, it’s difficult for engineers to make progress. Yet high-quality annotations are time-consuming and costly. What if you could train a new model and add it to production in 6 weeks instead of 6 months? This is now possible with foundation models. Using either a publicly available model for your type of imagery or a self-supervised model trained on your in-house dataset, you can apply it to any task on similar imagery – even with a small number of labeled examples. You can have a proof of concept up and running before the labeling team has completed their job! And while they continue labeling, computer vision engineers can iterate on model development. These models are pretrained with self-supervision, which does not require manual annotations. They rely on labels inferred from the structure of the images. For example, augmented variants of the same image should generate a similar embedding. The model can then be finetuned with a small amount of labeled data using far fewer resources. If you’d like to enable your team to get a model to production in 6 weeks instead of 6 months, DM me to learn more. #MachineLearning #DeepLearning #ComputerVision

🚀 A simple, yet effective efficiency hack! 🚀 At Subco Engineering, this feature shows how handwritten lists can be converted into Excel tables in seconds using AI tools like ChatGPT and Python’s pandas library. 💡 AI won’t take our jobs… but the people using it just might. ⚙️ 🔗 www.subco-engineering.com #SubcoEngineering #AI #Automation #Productivity #Innovation #DataScience #Python #GPT4

📢 Subco Engineering's New Feature: "Everyday AI For Engineers"… At Subco Engineering, we love exploring and inventing new ways to apply technology to the Mechanical Engineering Industry.  Our new feature, “Everyday AI For Engineers”, aims to showcase just some of the ways we have thought about applying AI to our everyday jobs. We hope it inspire others to think about how AI can be used as a new tool in their engineering work! 🔶 Feature 01: Harnessing AI for Laborious Tasks! In this simple example, we use CHAT GPT’’s Optical Character Recognition feature combined with Pythons ‘pandas ‘library to organise the data into a table. This means you can take a long list of handwritten information and turn it into an excel table within seconds. 👌 Stay on top of your game and follow Subco Engineering  for our weekly “Everyday AI For Engineers” Posts! www.subco-engineering.com #subcoengineering #AI #DataScience #Productivity #Automation #GPT4 #Python 

Predicted job in AI robotic control 🌟 AI Robotic Control Specialist: Mainstream by 2025! 🌟 Ever imagined controlling robots with just your commands? 🕹️ An AI Robotic Control Specialist designs, programs, and fine-tunes robots to perform complex tasks autonomously. 🤖 Your commands, their actions! Master programming languages like Python and C++, understand neural networks, machine learning algorithms, robotics engineering, and real-time data processing. Stay ahead with skills in TensorFlow and ROS! 🧠💻 Excel as an AI Robotic Control Specialist with curiosity, analytical thinking, problem-solving skills, and effective communication. 🚀💬 This role requires creativity and a passion for automation and robotics! To qualify for this role, immerse yourself in tech blogs on robotics, take online courses like "Machine Learning" by Andrew Ng, and specialized certifications in Robotics and AI. 📚🎓 What makes this job unique? It’s the intersection of AI and physical machines, with applications from healthcare to manufacturing. 🌐 Be part of revolutionizing industries with cutting-edge technology! Join the future of work in AI robotics! 🌍 #AIRobotics #FutureJobs —————– ➡️ This is a predicted new AI job created and posted with a custom GPT model. ➡️ Follow us for more updates on trained AI models for companies.

I’m thrilled to share that I’ve embarked on a fascinating journey into the field of Computer Vision and Image Processing! 📸✨ This course offers a deep dive into the incredible technology that allows computers to interpret and understand the visual world. From the basics of image formation and processing to advanced techniques in object detection and recognition, the learning curve is steep, but incredibly rewarding. Some of the key areas I’ll be exploring include: 🔍 Image Filtering and Enhancement 📊 Feature Extraction and Matching 🤖 Machine Learning for Vision 🎨 Color and Texture Analysis 🚗 Applications in Autonomous Driving, Medical Imaging, and More In a world increasingly driven by visual data, computer vision is revolutionizing industries from healthcare to automotive, security to entertainment. The ability to teach machines to see and interpret images is opening up new possibilities and driving innovation at an unprecedented pace. I’m eager to apply this knowledge to real-world problems and collaborate with like-minded professionals who are passionate about harnessing the power of visual data. If you’re also exploring this field or working on exciting projects, let’s connect and exchange ideas! 🌐 #ComputerVision #ImageProcessing #MachineLearning #ArtificialIntelligence #TechInnovation #LearningJourney

Amazing tech! A lady named Ann lost her voice after a stroke, but AI lets her talk again. Scientists put special things in her brain that read her thoughts and turn them into words on a computer. This is a big step forward to help people who can't talk anymore. Is this the future of medical science? AI helps a lot to gain new life. What are your thoughts about this innovation? Comment down below 👇 Follow Hancy Khalid Artificial intelligence Engineer for more tech info #medical #aiforgood #trending #generativeai #stablediffusion #artificialintelligence #ai #machinelearning #technology #datascience #python #deeplearning #programming #tech #robotics #innovation #bigdata #coding #iot #computerscience #data #dataanalytics #business #engineering #robot #datascientist #art #software #automation #analytics #ml #pythonprogramming #programmer #digitaltransformation #developer