"Microsoft"
Porque Microsoft acaba de anunciar que prohibirá a sus propios ingenieros usar IA debido a su coste de uso.
El vicepresidente de NVIDIA dijo: "El coste para de la IA para mi equipo fue mayor que el de los humanos. La IA puede costar más que los trabajadores".
I'm Chiitan, Japan's crazy mascot.
I'm the god of advertising who was born to drive out advertising in the world.
I don't have any products or information to recommend, so please watch the video and laugh.
I hope you have a good day today.
This robot arm = your AI model.
One math number decides if it learns or completely breaks.
This is Gradient Descent — the core math behind all of AI you are using in your day-to-day life.
🚀 ESP-BLAST - an ESP32 Mini Rocket Drone (100KM/H+) | 3D Design Files • STL, GCODE, and STEP files
➡️ Download 3D print model: https://t.co/dD4zqyjS5r
💡 Designed by Max_Imagination
It all started with a @Raspberry_Pi Model B back in 2013. At the time, I just wanted to connect my old printer to an iPad Mini via AirPrint. I’m incredibly excited to see the results of my new projects and where this journey will take me next. #maker#python#coding
📣 For NVIDIA DGX Spark Owners 📣
**New DGX Spark Software Updates for Performance, Stability, and Creator Workflow Improvements**
Software updates will begin rolling out to all systems through repositories starting today. These updates will also apply to partner systems based on the NVIDIA GB10 Grace Blackwell Superchip.
🧑💻✨ You can initiate the updates either through the DGX Dashboard or through the usual command line instructions to pull updates and upgrades.
This release is part of our commitment to continually enhance the DGX Spark experience based on real-world user feedback – bringing meaningful performance, stability, and workflow improvements across the OS, GPU stack, JupyterLab, and connectivity. If you’re in the middle of testing or planning deeper workflows, this update will materially improve your experience.
What’s new:
✅ New DGX OS Kernel (Ubuntu 6.14 HWE stack): Brings ongoing performance gains, tighter stability, broader hardware compatibility, and the latest security updates for a more secure operating environment.
✅ Updated JupyterLab Environment: Now running CUDA 13.0.2 and the latest PyTorch stack, enabling users to work with updated frameworks immediately without extra downloads.
✅ Accurate Memory Reporting: DGX Dashboard now aligns with CUDA unified memory guidance.
✅ Improved Peripheral Interoperability: Better compatibility with USB-C devices, monitors, Bluetooth peripherals, and Wi-Fi access points.
✅ Stable Diffusion XL Fix: Example workflow now runs end-to-end inside JupyterLab.
✅ Recovery Image Reliability: Installs correctly on macOS and when multiple external USB drives are connected.
✅ Keyboard Accessibility Improvements: Smoother and more complete Out-of-Box-Experience navigation.
In addition, we are actively working with third-party ecosystem partners to bring their software to DGX Spark. For example, we have worked with Llama.cpp to improve memory management on unified memory architecture-based systems to ensure accurate reporting of available resources.
If you’re actively benchmarking, generating content, or comparing Spark to OEM systems, we’d love to hear about your experience.
🙌 Thank you again for taking the time to work with the world’s first AI supercomputer that sits on your desk. We can’t wait to see what you build with it. #SparkSomethingBig ✨
More info here ➡️ https://t.co/TIsHK8jtfG
🎓 Revolutionizing STEM: UPT University’s MG400-Driven Assembly Line
🦾 Dobot is proud to showcase an inspiring educational case from our partner, UPT University, at the Campeonato Nacional de Robótica y STEM 2025 in Mexico.