Tiff in Tech

This is huge 🤯 it opens up the door to so many possibilities we never thought we would see in our lifetime. Microsoft introduced Majorana 1, the world’s first quantum chip powered by a new Topological Core architecture that it expects will realize quantum computers capable of solving meaningful, industrial-scale problems in years, not decades. It leverages the world’s first topoconductor, a breakthrough type of material which can observe and control Majorana particles to produce more reliable and scalable qubits, which are the building blocks for quantum computers. #tech #technology #stem #quantumphysics #quantumcomputing

#ad Since August 2024, @Microsoft has implemented zero water cooling systems with partnerships with AMD, Intel, and NVIDIA are pushing hardware efficiency further than ever. This is how we build a sustainable digital future. 🚀 #TechInnovation #FutureOfAI #MicrosoftPartner

#ad The future of AI isn't just about power - it's about precision and personalization. Think about it: Would you trust a GPS that makes up random exits? Of course not. That's why 2025 is all about making AI that's not just smart, but reliable. The game-changer this year is all about customization. Imagine AI that adapts to YOUR needs, not the other way around. This is the vision @Microsoft is bringing to life - where AI safety isn't about building walls but about giving you the tools to shape AI around your world. #AI #TechTrends #FutureOfTech #MicrosoftPartner

What is the difference between an SDK and API?! #tech #techtok #techexplained

How do you fix the internet at the bottom of the ocean?! The internet crosses oceans… through cables on the seafloor. But some are only as think as a Sharpie — yet carry 99% of global internet traffic. #tech #technology #stem

#ad AI is accelerating scientific breakthroughs at an unprecedented scale.​ From Project Aurora predicting extreme weather patterns to MatterGen designing new materials in hours instead of months, we're seeing AI transform how we tackle humanity's biggest challenges. Microsoft Research is where computational power meets scientific discovery, pushing the boundaries of what's possible.​ AI can spot patterns in massive datasets and simulate countless possibilities that humans alone might never uncover. This isn't just faster science - it's entirely new ways of discovery. ​ What scientific breakthrough would you love to see AI tackle next? 🤔

Is it worth learning to code in 2025? Here is how I would go about it differently if I was to start all over again. #tech #technology #stem #coding

What is the difference between SQL and NoSQL? Here is a simple breakdown so you never forget it. #tech #technology #stem #techexplained

This might be one of the most brilliant security features ever invented. And it's protecting your sensitive data every time you unlock your phone. #tech #technology #stem #security #cybersecurity

What if I told you that Netflix is secretly changing what you see based on your internet speed - altering colors, tweaking shadows, and modifying details in real-time... all without you knowing? Here’s how it works… #tech #technology #stem #techexplained

What exactly is DevOps in simple terms? Here is a real world example so never forget it! #tech #technology #stem #techexplained

It’s wild to think about a future where USB sticks and computer memory could be replaced with this! #tech #technology #coding #stem

Is this the most inefficient technology in your home?🤔 #tech #technology #stem #techexplained

What is your favorite operating system to use and better yet… least favorite?! #tech #technology #coding #stem

What is the difference between docker and a virtual machine?! Here is a simple explanation so you never forget it 💡 #tech #technology #stem

Let’s build a machine learning model to make predictions about F1s upcoming Japan GP. The model has three key components: 1. A Linear Regression model trained on historical qualifying lap data — it finds a line through the data that helps us predict future values 2. A performance factor system to capture unique team and driver strengths 3. A robust data preprocessing pipeline to handle missing data effectively Our model uses Q1 and Q2 lap times as input features to predict Q3 times. It learns correlations such as Q1 to Q3, Q2 to Q3, team performance trends, and driver consistency. We then can enhance these ML predictions by integrating domain-specific multipliers: • Team factors (text in screen: e.g., Red Bull at 0.997, offering a 0.3-second advantage) • Driver factors (text on screen: e.g., Max Verstappen at 0.998, providing a 0.2-second advantage) • Considerations for track evolution over the session GitHub link is GitHub.com/tiffintech/f1_predictions #tech #ai #ml #codewithme #stem

And you’re telling me this is the worst Ai will ever be?!