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#Computerengineering Reel by @millionaire_mentor (verified account) - Organic intelligence is no longer a concept. It is now a commercial reality.

Meet CL1, a groundbreaking computing platform powered by living, lab-gro
128.0K
MI
@millionaire_mentor
Organic intelligence is no longer a concept. It is now a commercial reality. Meet CL1, a groundbreaking computing platform powered by living, lab-grown human neurons integrated directly onto a silicon chip. These neurons are not simulations. They are real biological cells interacting with real software in real time. Developers can write code in Python, and the neurons respond dynamically by learning, adapting, reacting, and even playing games. Unlike traditional AI models that rely on fixed architectures and massive data centers, CL1 introduces biological adaptability into computation. The neurons do not simply execute instructions. They evolve their behavior through feedback, blending neuroscience with computer engineering. This technology is not confined to research labs anymore. As of mid-2025, CL1 is commercially available, starting at $35,000, and can be accessed either as physical hardware or through a scalable Neuron-as-a-Service cloud model. What you are seeing is the foundation of biological computing, a new class of intelligence that could redefine artificial intelligence, machine learning, robotics, and human-machine interaction. Follow 👉 @millionaire_mentor for more!
#Computerengineering Reel by @quantmaxxing - Quants come from a wide range of STEM backgrounds because quantitative finance demands people who can model complex systems, work with uncertainty, an
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@quantmaxxing
Quants come from a wide range of STEM backgrounds because quantitative finance demands people who can model complex systems, work with uncertainty, and build high-performance software. The most common backgrounds include: • Mathematics (probability, stochastic calculus, optimization, PDEs) • Statistics (inference, regression, time series, Bayesian modeling) • Physics (signal extraction, dynamical systems, modeling noisy real-world processes) • Computer Science (algorithms, machine learning, distributed systems, low-latency engineering) • Electrical/Computer Engineering (hardware-level optimization, FPGA/embedded systems, systems design) • Applied Mathematics (numerical methods, simulation, Monte Carlo, scientific computing) • Data Science / Machine Learning (pattern recognition, predictive modeling, feature engineering) • Operations Research (optimization, decision theory, control systems)
#Computerengineering Reel by @betibuilt - Stop studying theory. Start learning tools.

1. Electrical engineering is too broad to "just learn". There's power systems, MEP, controls, electronics
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@betibuilt
Stop studying theory. Start learning tools. 1. Electrical engineering is too broad to “just learn”. There’s power systems, MEP, controls, electronics, telecom, signals, computer engineering. If you try to learn all of it, you can spend years studying and still be totally unprepared for an actual job. The first step to becoming a better engineer is picking one field and committing to learning the specific skills for that job. 2. Pick your field based on what you actually want to do day-to-day. Want to design buildings? That’s MEP. Want to design chips? That’s semiconductors. Don’t pick based on what sounds impressive. Pick based on what you want your actual workday to look like because that determines what skills you need to learn. 3. Learn the tools for that specific field. For MEP, that’s Revit and single line diagrams. For semiconductors, its circuit design, and PCB layout. PCB layout will not help you at all in MEP. Revit wont make you stand out in semiconductors. 4. Stop trying to be good at everything. The engineers who get hired fastest are the ones who can walk into an interview and talk about real projects they’ve worked on. Not coursework. Not blinking LEDs on Arduino. Real design work using the actual tools firms use everyday. That’s what separates you from every other grad with the same degree. 5. If you’re serious about learning, follow my page. I’m a licensed PE who went from unemployed grad to leading $100M+ projects in under 5 years. I’ll show you exactly what to learn, what tools to use, and how to build a portfolio that gets you hired. All the things I wish I had when I was starting out. 👉 DM ‘Revit’ to learn the skills engineering firms are hiring for right now #electrical #engineering #student
#Computerengineering Reel by @cornelluniversity (verified account) - E pluribus unum - "out of many, one" - is not only a motto for the United States. It's a good credo for microrobots.

A research collaboration between
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@cornelluniversity
E pluribus unum – “out of many, one” – is not only a motto for the United States. It’s a good credo for microrobots. A research collaboration between Cornell and the Max Planck Institute for Intelligent Systems has shown how a swarm of microrobots spinning on a water surface can together generate the fluidic torque needed to manipulate passive structures without any physical contact. This collective behavior was demonstrated to operate gears and move objects, with the aim of eventually performing microscale tasks and biomedical procedures. “At small scales, contact-based manipulation can be limiting, and flow-based manipulation offers a great alternative,” said Kirstin Petersen, associate professor and an Aref and Manon Lahham Faculty Fellow in the Department of Electrical and Computer Engineering in the Cornell Duffield College of Engineering (@CornellEng) and the paper’s co-senior author. “We’re showing that in spite of their size, adding more microrobots creates stronger flows and greater torque transfer.” The research published Feb. 25 in Science Advances. The lead author is Steven Ceron, Ph.D. ’22, now an assistant professor at @uofmichigan.
#Computerengineering Reel by @astro.akshata (verified account) - What undergrad degree do you need to become a SPACE ENGINEER?

Space engineering is a multidisciplinary field that involves the design, development, a
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@astro.akshata
What undergrad degree do you need to become a SPACE ENGINEER? Space engineering is a multidisciplinary field that involves the design, development, and testing of spacecraft and related technologies. While aerospace engineering is the most direct path, space engineering also heavily relies on other fields. Mechanical engineering is essential for creating spacecraft structures and thermal systems that can withstand the harsh conditions of space. Electrical and electronics engineering play a critical role in developing communication, control, and power systems that operate reliably in space environments. Telecommunication engineers focus on the crucial communication systems for data transmission between spacecraft and Earth. Computer engineering and computer science are increasingly important, especially in developing onboard software and handling large volumes of data. Additionally, physics and applied mathematics provide the foundational knowledge needed to understand and model space environments and orbital mechanics. #DreamBig #PersistencePays #HardWork #Resilience #NeverGiveUp #nasa #space #scientist #indian #astro #reels #trending #trendingreels #reelsinstagram #AI #TechCareer #OnlineLearning #CareerDevelopment #ArtificialIntelligence
#Computerengineering Reel by @gearheadgiggle - The video features a hand interacting with an interactive baby book titled *Computer Engineering for Babies* by Chase Roberts. As the hand flips throu
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@gearheadgiggle
The video features a hand interacting with an interactive baby book titled *Computer Engineering for Babies* by Chase Roberts. As the hand flips through the pages, it presses various buttons that represent fundamental logical operations in computer engineering—such as "WIRE," "NOT," "OR," "AND," "XOR," and "LATCH." Each button press triggers a light-up effect, highlighting the book’s interactive and educational design. The visual presentation is playful and colorful, tailored to introduce young children to basic electronic concepts through tactile engagement. The overall tone is educational and imaginative, blending early childhood learning with foundational computer science principles in an accessible format. #ElectronicsForBabies #InteractiveBooks #BabyLearning #CircuitBasics #EducationalBooks
#Computerengineering Reel by @wealth (verified account) - Long before digital zoom, CGI, or computer animation, Disney found a way to make flat drawings feel three-dimensional in motion. 🎬🧩

Instead of zoom
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@wealth
Long before digital zoom, CGI, or computer animation, Disney found a way to make flat drawings feel three-dimensional in motion. 🎬🧩 Instead of zooming a single drawing, Disney animators built the multiplane camera, stacking multiple layers of hand-painted artwork on large sheets of glass. Each layer sat at a different distance from the camera, representing foreground, midground, and background. To create the zoom, the camera physically moved forward while each layer shifted at a different speed. Foreground elements moved faster, backgrounds moved slower, perfectly mimicking real-world depth and perspective. This mechanical setup created cinematic motion decades before computer graphics existed—and quietly defined how modern filmmaking, animation, and visual storytelling still work today. Love Technology? Follow @Wealth 🌟 Media: Disney #technology #animation #engineering #filmmaking #innovation
#Computerengineering Reel by @marcocamisanicalzolari (verified account) - 🇺🇸🇬🇧 In Ten Years, Work Will Look Different. Here's What Still Makes Sense to Study Today.

My son is 13. University in five years. A degree in te
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@marcocamisanicalzolari
🇺🇸🇬🇧 In Ten Years, Work Will Look Different. Here’s What Still Makes Sense to Study Today. My son is 13. University in five years. A degree in ten. In between, AI will write more code, and robots will enter hospitals and care facilities. The question is simple: what should a kid study today? Classics or computer engineering? Start from passions, always. But some degrees are more resilient than others. Healthcare with technology inside: robots will take physical and logistical tasks, but people will still manage clinical data, protocols, and risk. Nursing, health professions, biomedical engineering, clinical informatics, biostatistics, healthcare management. Data and decisions: statistics, data science, applied math, econometrics, operations research. AI speeds up analysis, and it speeds up mistakes without method. We need people who can measure, validate, and understand causality. Security and digital infrastructure: cybersecurity, networks, cloud, industrial security. More automation means more exposure. Hospitals, schools, companies, cities need people who protect systems and respond when they fail. Physical-world engineering: electrical, energy, mechanical, industrial, materials, automation, supply chain. Robots are tools. They increase the need for design, maintenance, certification, reliability. Technical law and governance: privacy, liability, rules for automated systems, tech contracts, IP, labor. We need specialists who understand both law and systems. Everything else can work if done seriously. Creativity and tourism often work best as a second axis. Tools can be learned anywhere. YouTube teaches tools. University should teach method, numbers, responsibility. #ArtificialDecisions #MCC
#Computerengineering Reel by @drexeluniv (verified account) - Meet Julia Fleming, a senior Computer Engineering major! 

Hear why she chose Drexel to turn her passion for tech into real-world impact. 

Apply earl
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@drexeluniv
Meet Julia Fleming, a senior Computer Engineering major! Hear why she chose Drexel to turn her passion for tech into real-world impact. Apply early by 11/15 🐉📝 #ExperienceDrexel @drexelengr @drexeladmission
#Computerengineering Reel by @dubaifuture (verified account) - مبادرة دعم وتمويل البحث والتطوير والابتكار في دبي توفر فرصاً جديدة للأبحاث والتطبيقات العلمية.

تتحدث الدكتورة أبيجيل كوبياكو، مديرة قسم هندسة الحاسو
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@dubaifuture
مبادرة دعم وتمويل البحث والتطوير والابتكار في دبي توفر فرصاً جديدة للأبحاث والتطبيقات العلمية. تتحدث الدكتورة أبيجيل كوبياكو، مديرة قسم هندسة الحاسوب في جامعة دبي، عن جهود فريقها لتطوير أداة غير جراحية للتشخيص المبكر لمرض التوحد، وهو ابتكار يعتمد على الذكاء الاصطناعي ويمنح العائلات حول العالم فرصاً جديدة وأملاً متجدداً. #دبي_للمستقبل #مبادرة_دعم_وتمويل_البحث_والابتكار_في_دبي The Dubai Research, Development, and Innovation (RDI) Program is shaping research that matters. Hear from Dr. Abigail Copiaco, Director of the Computer Engineering Program at the University of Dubai, as she and her team work on a non-invasive tool for early autism diagnosis, an innovation powered by AI that brings new possibilities and new hope, to families worldwide. #DubaiFuture #RDI⁩
#Computerengineering Reel by @theaiorbit (verified account) - Video by @codcoders, Organic Intelligence is no longer a concept-it is a commercial reality.

Meet CL1, a groundbreaking computing platform powered no
1.1M
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@theaiorbit
Video by @codcoders, Organic Intelligence is no longer a concept—it is a commercial reality. Meet CL1, a groundbreaking computing platform powered not by traditional silicon logic alone, but by living, lab-grown human neurons integrated directly onto a silicon chip. These neurons interact with real software in real time. Developers write code in Python, and the biological neurons respond dynamically—learning, adapting, reacting, and even playing games. Unlike conventional AI models that rely solely on static architectures, CL1 introduces biological adaptability into computation. The neurons do not simply execute instructions—they evolve their behavior through feedback, demonstrating real-time responsiveness that bridges neuroscience and computer engineering. This is not science fiction, and it is no longer confined to laboratories. As of mid-2025, CL1 is commercially available, starting at $35,000, offered both as a physical hardware system and through a scalable “Neuron-as-a-Service” cloud model. What you are seeing is the early foundation of biological computing, a new class of intelligence that could redefine artificial intelligence, machine learning, robotics, and human–machine interaction. More cutting-edge science and future-defining technology videos are on this page. Follow now to stay ahead of the intelligence curve. ⚠️ Copyright Disclaimer: All video rights belong to their respective owners. This content is shared under fair use for educational and informational purposes. DM for credit or removal.

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