LinuxGizmos.com [Unofficial]Luckfox Aura is a Linux SBC with RV1126B processor, 3 TOPS NPU, and dual CSI
PyCharm BlogPyTorch vs. TensorFlow: Choosing the Right Framework in 2026
#Python #Pycharm #Datascience #Pytorch #Tensorflow
https://blog.jetbrains.com/pycharm/2026/05/pytorch-vs-tensorflow-choosing-framework-2026/
🍁KEYBOARD-MOUSE-SCREEN🍁FOSS, single-file, vanilla, save with CTRL + S. This is designed to make single file webpages/programs in absolute position or VW. The keyboard is like Vi. 20 levels per project. #AI #MachineLearning #DeepLearning #DataScience #Python #NLP #ComputerVision #BigData #ArtificialIntelligence #TensorFlow #PyTorch #DataViz #NeuralNetworks #MLOps #LLM
Oliver HumpageWhy yes I am working on a browser plugin that lets you put a birds-eye view of a #snooker table next to the live stream in iPlayer… btw if anyone knows how to put a set of training images from #roboflow into a browser plugin that will run the #tensorflow JS in under a second, hmu, cos I'm currently using a slightly ropey opencv.js method that spots balls based on the reflected light highlights at the top of them.
N-gated Hacker News🔥🤖 Google's latest flex: shoving #PyTorch into #TPUs like trying to fit a square peg in a round hole. Because obviously, #TensorFlow wasn't confusing enough already. 🙃🔍
https://developers.googleblog.com/torchtpu-running-pytorch-natively-on-tpus-at-google-scale/ #Google #TechNews #AI #HackerNews #ngated
https://developers.googleblog.com/torchtpu-running-pytorch-natively-on-tpus-at-google-scale/ #Google #TechNews #AI #HackerNews #ngated
TorchTPU: Running PyTorch Natively on TPUs at Google Scale- Google Developers Blog
Discover TorchTPU, Google’s new engineering stack designed to run PyTorch natively on TPU infrastructure with peak efficiency. Learn how its "Eager First" philosophy and XLA integration simplify model migration while unlocking massive scalability for the next generation of AI.
cnx-software.com [Unofficial]IP67-rated AI security camera feature Rockchip RV1126B or RK3576/J/M SoC for commercial, industrial, and automotive applications
IP67-rated AI security camera feature Rockchip RV1126B or RK3576/J/M SoC for commercial, industrial, and automotive applications
Back in January 2024, Firefly released the CT36L AI smart security cameras, built around the Rockchip RV1106G2 SoC with a 0.5 TOPS NPU and Power over Ethernet (PoE) support. Now, Firefly has introduced two new AI cameras, the CQ38W-1126B and CQ38W-3576, which use a similar IP67-rated enclosure but come with much more powerful processors. Both new models no longer support PoE and instead use a 12V DC input, and they also add an RS485 interface. In terms of performance, the CQ38W-1126B is built around the Rockchip RV1126B with a 3 TOPS NPU and can run small multimodal AI models. The higher-end CQ38W-3576 features an octa-core Rockchip RK3576 with a 6 TOPS NPU, making it suitable for more demanding AI workloads, including YOLO and large language models. Both cameras are available with 3MP or 5MP sensors and come in Commercial or Industrial (J-suffix) variants. The 3576 series also adds an Automotive-grade
anonchegTitle: P6: CTO mistakes and distributed training of NN [2023-09-19 Tue]
completion of this period, after one month and a half.\n#nn #ai #neural #automl #tensorflow #tf #torch #pytorch #llama #llama2 #management
completion of this period, after one month and a half.\n#nn #ai #neural #automl #tensorflow #tf #torch #pytorch #llama #llama2 #management
Title: P4: CTO mistakes and distributed training of NN [2023-09-19 Tue]
5) Did not create a roadmap and did not discuss it with everyone.
6) Did not pay attention to the collected information on the research project and did not
consider its importance in planning.
7) Assigned multiple responsibilities to one person: gathering information, programming,\n#nn #ai #neural #automl #tensorflow #tf #torch #pytorch #llama #llama2 #management
5) Did not create a roadmap and did not discuss it with everyone.
6) Did not pay attention to the collected information on the research project and did not
consider its importance in planning.
7) Assigned multiple responsibilities to one person: gathering information, programming,\n#nn #ai #neural #automl #tensorflow #tf #torch #pytorch #llama #llama2 #management
Title: P5: CTO mistakes and distributed training of NN [2023-09-19 Tue]
planning, verifying assumptions, presenting a beautiful and clear result to management.
8) Forced one person to report to three different individuals.
9) Set two conflicting goals: a tight deadline of September 30 and small
meaningless goals.
10) Named a probationary period one month and firing after successeful\n#nn #ai #neural #automl #tensorflow #tf #torch #pytorch #llama #llama2 #management
planning, verifying assumptions, presenting a beautiful and clear result to management.
8) Forced one person to report to three different individuals.
9) Set two conflicting goals: a tight deadline of September 30 and small
meaningless goals.
10) Named a probationary period one month and firing after successeful\n#nn #ai #neural #automl #tensorflow #tf #torch #pytorch #llama #llama2 #management
Title: P2: P3: CTO mistakes and distributed training of NN [2023-09-19 Tue]
3) Hired people with different skills and abilities and organized competition between them
instead of building a team.
4) Demanded strict adherence to deadlines on a research project.\n#nn #ai #neural #automl #tensorflow #tf #torch #pytorch #llama #llama2 #management
3) Hired people with different skills and abilities and organized competition between them
instead of building a team.
4) Demanded strict adherence to deadlines on a research project.\n#nn #ai #neural #automl #tensorflow #tf #torch #pytorch #llama #llama2 #management