Tesla Cybercab review

The FIRST Cybercab review, presented by Tesla chief designer: Franz von Holzhausen - YouTube

Fact-Checking Tesla: Does Cybercab Have 60% Fewer Parts Than Model 3? - YouTube

Tesla Cybercab Robotaxi First Ride: Surviving a Trip in Tesla’s First Self-Driving Car

Tesla Cybercab Robotaxi First Ride Review: Future or Fever Dream?

AI HW: NVIDIA Jetson Orin Nano Super: $249 (for IoT, Robotics)

buying HW for AI is not cost effective... losing value fast... still, a good deal, if you can find it

"Christmas gift wish for geeks :)"

Jetson Orin Nano Super Developer Kit | NVIDIA

67 TOPS

NVIDIA Unveils Its Most Affordable Generative AI Supercomputer | NVIDIA Blog

The new NVIDIA Jetson Orin Nano Super Developer Kit, which fits in the palm of a hand, provides everyone from commercial AI developers to hobbyists and students, gains in generative AI capabilities and performance. And the price is now $249, down from $499.

Available today, it delivers as much as a 1.7x leap in generative AI inference performance, a 70% increase in performance to 67 INT8 TOPS, and a 50% increase in memory bandwidth to 102GB/s compared with its predecessor.

Introducing NVIDIA Jetson Orin™ Nano Super: The World’s Most Affordable Generative AI Computer - YouTube

NVIDIA Jetson Orin™ Nano Super Developer Kit - DEV-22098 - SparkFun Electronics

"backorder" already

Robotics Edge | NVIDIA

older version, 2x price 2/3 performance

Amazon.com: NVIDIA Jetson Orin Nano Developer Kit : Electronics

$500, 40 TOPS

NVIDIA's $249 Secret Weapon for Edge AI - Jetson Orin Nano Super: Driveway Monitor - YouTube

GitHub - davepl/ObjectDetect

The New Nvidia Jetson Orin Nano Is The Fastest Edge Ai NANO SBC So Far! First Look - YouTube

AI: transformers.js-examples

 huggingface/transformers.js-examples: A collection of 🤗 Transformers.js demos and example applications @GitHub

A collection of 🤗 Transformers.js demos and example applications.

Transformers.js @huggingface.com

Run 🤗 Transformers directly in your browser, with no need for a server!

Transformers.js is designed to be functionally equivalent to Hugging Face’s transformers python library, meaning you can run the same pretrained models using a very similar API. These models support common tasks in different modalities, such as:

• 📝 Natural Language Processing: text classification, named entity recognition, question answering, language modeling, summarization, translation, multiple choice, and text generation.
• 🖼️ Computer Vision: image classification, object detection, segmentation, and depth estimation.
• 🗣️ Audio: automatic speech recognition, audio classification, and text-to-speech.
• 🐙 Multimodal: embeddings, zero-shot audio classification, zero-shot image classification, and zero-shot object detection.

Transformers.js uses ONNX Runtime to run models in the browser. The best part about it, is that you can easily convert your pretrained PyTorch, TensorFlow, or JAX models to ONNX using 🤗 Optimum.

Hugging Face - Wikipedia