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All new 2020 Rezvani TANK
⏲ 71 sec ✓ 11-Aug-2019
7. Toward a 1D Device Model, Part I: Device Fundamentals
⏲ 1 hour 17 minutes 13 seconds 👁 8.3K
Intro to CUDA (part 5): Memory Model
⏲ 15 minutes 6 seconds 👁 11.2K
GunVault GVB1000: Opened With a Paperclip
⏲ 1 min 57 sec ✓ 03-Mar-2016
On-device object detection: Train and deploy a custom TensorFlow Lite model
⏲ 12 minutes 4 seconds 👁 39K
Deploying ML models to mobile devices
⏲ 18 minutes 50 seconds 👁 443
Demo of Dragonfly Hard Model
⏲ 2 min 5 sec ✓ 19-Dec-2014
On-device Large Language Models with Keras and Android
⏲ 47 minutes 27 seconds 👁 5.2K
CUDA Simply Explained - GPU vs CPU Parallel Computing for Beginners
⏲ 19 minutes 11 seconds 👁 110.8K
SHOWROOM RICHTI-AREAL
⏲ 92 sec ✓ 27-Apr-2011
The Rabbit R1 & Humane AI Pin Teardowns- Worst Devices Ever?
⏲ 4 minutes 45 seconds 👁 47.3K
How to Train TensorFlow Lite Object Detection Models Using Google Colab|SSD MobileNet
⏲ 23 minutes 18 seconds 👁 57.1K
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_all-new-2020-rezvani-tank.webp "Orange County, CA., – Rezvani today is proud to unveil its most extreme and capable model to date. Building on the success of TANK, the all new 2020 Rezvani TANK, a street-legal, Xtreme Utility Vehicle (XUV), embodies many of the same characteristics found on its military predecessor. nUnder the hood of the TANK X trim is a new powerful 6.2-liter Supercharged V8 found in the Dodge Demon, tuned further by Rezvani to deliver over 1,000 horsepower and 870 pound-feet of torque; making it")
_7-toward-a-1d-device-model-part-i-device-fundamentals.webp "MIT OpenCourseWare")
_intro-to-cuda-part-5-memory-model.webp "Josh Holloway")
_gunvault-gvb1000-opened-with-a-paperclip.webp "This handgun safe, called the Minivault Biometric, features the same release-wire locking mechanism found in the GV1000S. The main difference between the two safes is that this one has a fingerprint reader. Though it is a fancier, more expensive device, the GVB1000 is no more secure than the less expensive model; the mechanical components of the locking mechanism are accessible through holes in the side of the safe. To learn more about the engineering problems I’ve uncovered in a variety of ha")
_on-device-object-detection-train-and-deploy-a-custom-tensorflow-lite-model.webp "TensorFlow")
_deploying-ml-models-to-mobile-devices.webp "TensorFlow")
_demo-of-dragonfly-hard-model.webp "This is a quick look at the Dragonfly hard model. We show how the device unfolds and transforms to become your smartphone, tablet and dual-display laptop and how it saves you money and frustration in the process!nn*** Please note that this is a simulation of the Dragonfly functionality. This is a project in development and the screens on the Dragonfly are simulated for demonstration purposes only.nnThank you for watching!")
_on-device-large-language-models-with-keras-and-android.webp "TensorFlow")
_cuda-simply-explained-gpu-vs-cpu-parallel-computing-for-beginners.webp "Python Simplified")
_showroom-richti-areal.webp "facebook.com/projektilartnhttp://www.projektil.chnPROJEKTIL created an interactive augmented reality installation, a by 5 projectors recorded architectural model in scale 1 : 200. On the model can be shown various simulations (nightlife, sun and shadow, etc.), and also information (use zones, green areas, transport etc.) . Not only the mapped model projection is controlled interactivly by an ipad, but the whole space, which includes 44 dimmable dali lamps, 6 DMX lamps, 9 beamers, a touchscreen a")
_the-rabbit-r1-amp-humane-ai-pin-teardowns-worst-devices-ever.webp "iFixit")
_how-to-train-tensorflow-lite-object-detection-models-using-google-colab-124-ssd-mobilenet.webp "Edje Electronics")
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