Tage Labs

Tage Labs Research Automation and Data Collection

Will AI threaten my kid’s software engineering future? If you think AI means you can stop learning how computers work, y...
01/02/2026

Will AI threaten my kid’s software engineering future?

If you think AI means you can stop learning how computers work, you’re missing the most exciting shift in tech history.

In 2026, we are plowing into the era of AI-Defined Platforms. From autonomous delivery robots to smart glasses that process spatial AI locally, the real innovation isn't happening in the cloud—it’s happening at the Edge.

Why Software-Hardware Interaction is the #1 "Super-Skill" for the near future:
Efficiency is the New Currency: AI is power-hungry. In a world of limited battery life and thermal constraints, "just making it work" isn't enough. The most valuable engineers are those who can optimize code to squeeze every drop of performance out of specialized devices.

The "Physical AI" Revolution: AI is moving out of chatbots and into the physical world. Whether it's a software-defined vehicle making split-second safety decisions or a medical wearable interpreting biosensors in real-time, you need to understand the "metal" to ensure these systems are safe and reliable.

The Debugging Gap: AI can write a function, but it can’t always tell you why a sensor is lagging or why a specific chip architecture is bottlenecking your model. If you don't understand the interaction between the two, you’re just a passenger.

The Bottom Line: Don’t just learn to prompt. Learn how the machine thinks. Those who bridge the gap between digital logic and physical reality will be the architects of the next decade.

AI will not be a problem for some young engineers. By shifting their focus from rote learning, to complex problem solvin...
12/27/2025

AI will not be a problem for some young engineers. By shifting their focus from rote learning, to complex problem solving, they become the orchestrator and AI becomes the doer. They elevate their level of innovation using AI tools. But to do so they have learn to think and approach complex problems in a different way.

12/19/2025

Now anyone can be a rocket scientist - build and launch your rocket with electronic flight controller to collect flight data. Conduct experiments like a research scientist.

12/18/2025

Stop just watching science—start doing it! In the Rocket Science Challenge, your student will build a high-power water rocket, program an electronic flight controller, run experiments and track real-time data just like a NASA engineer.

Think rocket science is only for NASA or SpaceX? Think again. We are turning ordinary soda bottles into high-performance...
12/15/2025

Think rocket science is only for NASA or SpaceX? Think again. We are turning ordinary soda bottles into high-performance rockets. The physics is real, the speed is intense, and the data revealing. The Water Rocket Challenge is live. Real research, not just kit building. Who do you know that would want to build one of these? Tag a future engineer below!
tagelabs.com/rise

Is teaching kids to code a waste of time now that AI can do it? 🤖💻I get asked this a lot. The answer is NO, they should ...
11/24/2025

Is teaching kids to code a waste of time now that AI can do it? 🤖💻

I get asked this a lot. The answer is NO, they should learn—but the goal has changed, learning to program is more important than ever. Here is why:

From Writer to Editor: AI can generate code instantly, but it’s often wrong and missing context. Kids need to know enough to read, verify, and debug the AI’s work. They need to be the Architect, not the bricklayer.

Critical Thinking: Coding isn't just about computers; it teaches "Computational Thinking." It wires the brain to break massive problems into tiny, logical steps. AI can't replace that mindset.

The Bottom Line: Don’t force them to memorize where the semicolons go. Teach them logic, system design, and how to ask the right questions.

We aren't raising coders anymore; we are raising problem solvers who know how to use AI as a superpower.

Every time a new technology is introduced - the reaction is the same
11/06/2025

Every time a new technology is introduced - the reaction is the same

We are excited to soon be launching our new education program RISE. Are your kids interested in STEM but want to go to t...
10/29/2025

We are excited to soon be launching our new education program RISE. Are your kids interested in STEM but want to go to the next level - actual research? The first course is a Rocket Science Challenge where they conduct actual research experiments to solve a real world problem. It's not just building a kit, but learning to think like a research scientist, collecting data and analyzing the results..

Check it out at tagelabs.com/rise

06/26/2025

Latest from the lab... I guess the new autofeeder is a hit.

𝐓𝐡𝐞 "𝐈𝐭 𝐖𝐨𝐫𝐤𝐬… 𝐔𝐧𝐭𝐢𝐥 𝐈𝐭 𝐃𝐨𝐞𝐬𝐧’𝐭" 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐢𝐧 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐃𝐈𝐘When your perfect new creation betrays you:You spent weeks desig...
06/25/2025

𝐓𝐡𝐞 "𝐈𝐭 𝐖𝐨𝐫𝐤𝐬… 𝐔𝐧𝐭𝐢𝐥 𝐈𝐭 𝐃𝐨𝐞𝐬𝐧’𝐭" 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐢𝐧 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐃𝐈𝐘

When your perfect new creation betrays you:

You spent weeks designing it. You tested it a dozen times. Built to solve a very specific research problem, it ran flawlessly on the bench. The data looked clean, the signals were stable, and you finally breathed a sigh of relief.

Then, halfway through your most important experiment… it failed. No warning. No smoke. No obvious reason. Just silence from the device that worked perfectly yesterday.

Why Does This Happen? Here are some common reasons:
1 - 𝐓𝐡𝐞 𝐏𝐡𝐚𝐧𝐭𝐨𝐦 𝐆𝐥𝐢𝐭𝐜𝐡
Loose wires, cold solder joints, or power fluctuations can cause intermittent failures. What worked on your bench might fail in the field due to vibration, humidity, or temperature changes.
2 - 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐆𝐫𝐞𝐦𝐥𝐢𝐧𝐬
A firmware bug might only trigger under rare conditions (e.g., after 72 hours of logging). Your code seemed fine—until it wasn’t.
3 - 𝐓𝐡𝐞 "𝐈𝐧𝐯𝐢𝐬𝐢𝐛𝐥𝐞" 𝐍𝐨𝐢𝐬𝐞
Electrical interference (from motors, Wi-Fi, or even fluorescent lights) can corrupt signals. Your setup was noise-free… until you moved it next to that incubator.
4 - 𝐄𝐝𝐠𝐞 𝐂𝐚𝐬𝐞𝐬
You tested for all the scenarios you could think of, but there is always something lurking out there to throw you a curve ball. A combination of seemingly insignificant factors that when combined provide a scenario you never considered.
5 - 𝐓𝐡𝐞 𝐇𝐮𝐦𝐚𝐧 𝐅𝐚𝐜𝐭𝐨𝐫
Maybe a lab mate borrowed your device, plugged it in wrong, and didn’t tell you. Or you forgot to recalibrate after swapping a component.

𝐓𝐡𝐞 𝐑𝐞𝐚𝐥 𝐂𝐨𝐬𝐭 𝐨𝐟 𝐃𝐈𝐘
Lost time: Repeating experiments wastes weeks.
Lost trust: If your tools are unreliable, colleagues (and reviewers) question your data.
Lost sanity: Debugging without a clear cause is maddening.
Equipment: For effective testing and debugging, expensive equipment is needed and expertise

Consider these next time you are wrestling with the build vs buy decision

🚀 Just released: the latest version of our Autofeeder, designed to support Time-Restricted Feeding (TRF) protocols in mo...
06/17/2025

🚀 Just released: the latest version of our Autofeeder, designed to support Time-Restricted Feeding (TRF) protocols in mouse research.

Our new hardware and firmware architecture delivers over one month of battery life from a single 18650 cell—making it ideal for long-term, low-maintenance studies.

Big thanks to our research partners at Texas A&M University for piloting this system in active studies. We're excited to keep advancing tools that makes research more precise and efficient.

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