Alphabyte3's Posts
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DrBrainstorm:Just do some projects without looking any courses just Google and GitHub docs. Microsoft dotnet technologies changes with time you have to stay updated |
Follow the following accounts on X ( TheSecMaster1, occupy the web and securitytrybe ) follow the expert they are following only for educational purposes only . Google>>>>awesome Cybersecurity GitHub<< Fork the repo |
You can host the frontend and backend separately on same or different server but the port will different based on the technologies used . You can name it as the following WebAI( minimal API or controller based API) clients ( frontend framework or UI) |
You can host the frontend (client) and backend (server) separately on same or different server but the port will different based on the technologies used . Building the spring boot backend to jar or war in preferred host for deployment while the npm build command is in /build or /distrit or /public for frontend. https://github.com/PATMESH/Learning-Management-System |
Creating an Trial balance or bookkeeping from account ledger using generative AI by inserting the data or information or show an image or video about it in real time . Generative AI is coming for account LLM . New PHD thesis for accounting students. |
Top Udemy instructor to learn spring boot Chad Darby in28Minutes Official Ramesh Fadatare (Java Guides) Navin Reddy John Thompson Sergey Kargopolov Bushan Sirgur Holczer Balazs |
Intel,AMD Nvidia rely on ASML or TSMC to create chips for their microprocessor. ASML is popular for creating EUV lithography machine . Liquid cooling of server and data center is done by another company. Arm is only good at chip design they sell them to clients based on custom design to Apple , Google and Microsoft. The research and development team work together to produce great computers. |
My new idea is to create a submarine drone that can smim and fly semi-autonomous powered by AI . It will be teleoperated for studying coral reef and surveillance it will have its own optical fiber communication to prevent jamming. It will also have a invisibility and cloaking system installed using the invisible sheet to camouflage to the environment. The water drone will be undetected by radar or sonar both on air or sea . The speed will be mach 1 . |
Collaborating with established suppliers for some electronic parts can save both time and money to customize your product to suits your specifications .Some parts or components can easily be developed using 3d printer. You might be given a task to produce 1- 10k units and need to meet the demands . |
preciouswoman66:How are you going to build the rotor and propeller , GPS ,sensors, radar,lidar ,controller,FPV camera ,Battery, monitor ,AntennaModule ,Receiver,Gimbal and ESC for drones . Are you building them from scratch or buying the kits . What operating system will you plan to use android or Windows or Linux the cost of Mac is not good for robotics. Linux is good because it is opensource. |
TerraHaptix, a VC-backed robotics startup opens a 15,000-square-foot drone factory in Abuja to produce autonomous drones for the world’s core industries such as energy, logistics, agriculture, and mining. Founded by 22-year old Maxwell Maduka and 20-year old Nathan Nwachuku in 2023, TerraHaptix is an Nigerian robotics startup that designs, manufactures, and sells autonomous drones. The company develops everything in-house including the airframe, flight computers, firmware, powertrain, and the flight OS. The big mission of TerraHaptix is to transform the world’s core industries with drones. The new factory is capable of producing 10,000 drones annually, essentially making TerraHaptix Africa’s largest drone manufacturer. It includes a research and development lab, a 3D printing facility, a machine shop, and a manufacturing line to support production. They plan to start full operations in the factory by April 2024. Western drone companies lack the manufacturing capacity to compete with China due to fragmented supply chains, expensive labor, and high operating costs. TerraHaptix faces none of these issues with its plan to produce locally and sell globally. Located in Idu Industrial District, Abuja. The company plans to have the full lifecycle of design, development, prototyping, manufacturing and production in the same space which allows TerraHaptix to iterate and develop the technology incredibly fast. “This factory acquisition shows TerraHaptix’s intent as a serious strategic robotics company in Africa, and we can’t wait to commence the production of UAVs that will drive the technological revolution for core industries globally”- said Nnamdi Chife, CEO of TerraHaptix. The company plans to launch two product lines in the next four months: One is a long-range reconnaissance drone for commercial use. The other is a jet-powered attack drone for militaries across the globe. TerraHaptix’s family of systems is powered by Artemis OS, its AI-powered operating system that turns thousands of data streams into a realtime, command and control centre. The 6-month old company has already closed major commercial contracts to supply its autonomous drones. With the fast-growing commercial drone market reaching $34B, TerraHaptix aims to produce 100,000 drones annually by 2030. Source https://www.techcityng.com/africas-largest-drone-factory-opens-in-abuja-nigeria/amp/ |
Recommended course for Learning ASP.NET Core is Neil Cummings , Ardalis , Bhrugen Patel ,Web University by Harsha Vardhan on Udemy and various websites. You have to be willing to complete some courses and be versatile by implementing complex logic . The advanced the logic the more time you might spend. For beginners use Microsoftlearn ASP.NET Core doc |
Abhay prince ,netcode-hub and asfend on Udemy has good best practices and clean codes in .NET MAUI others are just basic knowledge . You can write clean architecture blazor or razors code to your codes following the guidelines using hybridblazor . The are many source codes on GitHub concerning it . You can use your minimal API or ASP.NET Core WebAPI using any of the following to connect to MAUi in C# . Read the docs for more details Refit HttpClient HttpClientFactory RestSharp or Newtonsoft.Json |
Minimal APIs are excellent for small, fast and simple applications, while Controller-based APIs (MVC) in ASP.NET core are better suited for larger projects that require more structure and features. |
Martinz09:W3school and java2s |
We need hundreds or thousands of collaborative agents working together in an organization doing what we can do industrially. A new digital agents of the future by remote teleoperated and autonomous prompting be reasonable to the next level called organization in cloud. |
thebaseballhome:Project IDX, Vscode or zed code editor |
thebaseballhome:Decagon(.NET) or new horizon (Networking) |
CUDA-Q Platform fix these for hybrid quantum-classical computers enables integration and programming of quantum processing units (QPUs), GPUs and CPUs . Generative AI can help solve and understand the architecture behind the codebase . We will have phones or watches or glasses (wearable) connected to quantum clouds to perform special tasks in the future. The computing cluster has to increase above the one we currently have in quantum sensing . |
PayCircle:Try coin exchange it is written in spring boot and Vue js https://github.com/coin-exchange |
Try codester |
Videos to effects LLM for film making .AI can help apply visual effects or augment reality elements in videos, creating dynamic visual experiences. LLMs can be used to generate descriptive captions for video content, improving accessibility and content organization. LLMs can assist in creating scripts for videos or guiding editing processes by suggesting cuts, transitions, or effects based on the narrative structure. Capcut the app that has such features. |
In the world of Marketing adword like platform that spend in form of points via search in generative AI .By using a point system, advertisers could manage their budgets better and make more calculated decisions about spending on different campaigns. The AI can assist in brainstorming and creating innovative ads that stand out in a crowded marketplace. The AI will have inbuilt functions to create videos ads |
We are in stages when we can enable Microscope and Gen AI zoom in drug and the drug concentration for effective treatment in right proportion. It will be like the orbital materials AI for drugs. The synergy between advanced microscopy techniques and generative AI holds great promise for improving drug discovery and development processes. By enabling researchers to visualize drug interactions at a granular level and rapidly identify potential new drug candidates, these technologies could lead to the formulation of safer and more effective therapeutic agents. |
Tools Xcode Jdk23 Javakit Mac Beginners guide https://www.nairaland.com/7156875/swift-guide-ios-developers Java2s.com Amazon ebooks and packt ebooks to learn |
This component provides a way for Swift applications to utilize Java (Javakit)libraries seamlessly. It wraps Java classes into Swift-compatible types, allowing for direct method calls in Swift as if they were native. https://github.com/swiftlang/swift-java |
We need to improve the codebase and architecture behind CUDA quantum which is like the foundation of computing |
Quantum generative AI has the potential to revolutionize fields like coding and problem-solving, especially for complex tasks that classical computers struggle with.Quantum generative AI can model, simulate and solve problems which will take millions or Billions of years on a classical computers before the main prototype after final release of the solutions or system. Here’s how it may help in these areas: 1. Optimization Problems - Complexity Reduction: Quantum algorithms, such as Grover's algorithm, can search databases more efficiently than classical algorithms. This can be particularly useful in optimization tasks such as routing, resource allocation, and scheduling. - Quantum Annealing: Quantum annealers can be employed to find the optimal solution in a solution space more effectively than classical methods, especially in combinatorial optimization problems. 2. Automated Code Generation - Pattern Recognition: Quantum generative models can learn patterns in existing codebases, enabling them to suggest code snippets, optimize functions, or even generate complete modules. - Natural Language Processing: Implementing quantum NLP techniques can help in understanding coding conventions and generating code from natural language specifications. 3. Problem-Solving in Physics and Chemistry - Quantum computers are particularly well-suited for simulations in quantum chemistry, materials science, and physics. They can solve complex equations that describe molecular interactions, aiding in drug discovery and materials development. 4. Machine Learning Accelerations - Quantum machine learning algorithms can speed up training times for models and improve their accuracy by finding more complex patterns in data. This can aid in predictive modeling, anomaly detection, and classification tasks. 5. Enhanced Simulation Capabilities - Quantum generative models could produce realistic simulations of systems ranging from autonomous vehicles to financial markets, allowing for robust testing and refinement of algorithms in a simulated environment before real-world application. 6. Collaborative Problem Solving - Utilizing quantum collaborative models can improve teamwork in software development by using generative AI assistants that can understand the team’s collaborative history and suggest solutions or code changes in real-time. 7. Integrating with Classical AI - Quantum generative techniques can be combined with classical AI systems to enhance their capabilities. Hybrid systems can leverage both quantum speed and classical practicality to tackle problems more efficiently. Challenges and Considerations While the potential is significant, implementing quantum generative AI for coding and problem-solving presents several challenges: Hardware Limitations: As of now, quantum hardware is still in its infancy. Quantum computers are error-prone and have limited qubit counts. Algorithm Development: There is a need for more efficient quantum algorithms tailored to specific computational tasks. Integration with Classical Systems: Finding ways for quantum systems to work in tandem with classical systems is critical. Access and Education: A greater understanding of quantum programming languages and frameworks is necessary for developers to fully utilize these technologies. Conclusion Quantum generative AI holds great promise for transforming coding and problem-solving processes, especially for complex and computationally heavy tasks. While we are still in the early stages of this technology, the integration of quantum computing with AI capabilities will likely create powerful new tools in the near future. Researchers and developers should continue. Quantum chips will be in robotics of the future. |
tensazangetsu20:Tell him to create an app for food distribution globally to avoid spoilage plus shipping fee the app using AI . Create an automated marketing app to create jobs for the teaming youth Create an app for health care for medical diagnosis and treatment An app that gives the government with many people reports to improve on infrastructural development in Africa Confidential whistleblower reporting system to fight corruption Improve stock exchange engagement for 18 years and above educational app like Free tutorials Using AI in educational systems like a robotic lecturer Skills workshop center |
twosquare:By taking into consideration of market sentiment, regulatory developments and technological advancements do you think BTC it can rebound to 70k before the end of the year. I think institutional investors are pushing adoption while the government regulate or monitor everything. |
Ojemedad:Follow the official of exchange telegram (announcement) channel or group. Dexscreener helps monitor the trends . |
Gen AI for chemical engineering, electrical engineering, mechanical, Civil engineering and Telecommunications engineering etc is growing . This will help in design ,simulation , modeling and testing . |
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