TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...

Abstract: Autoencoders have proven successful across diverse applications such as data reconstruction, anomaly detection, and feature extraction, however, these advancements remain largely dispersed ...

Following README.md,I have successfully completed the configuration of the environment. But problems occoured when I tried to process my own scene: Step 2: Train the Autoencoder and get the lower-dims ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

CUDA_VISIBLE_DEVICES=0 python scripts/sample.py -d kitti -r models/lidm/kitti/[model_name]/model.ckpt -n 2000 --eval Besides, to train your own LiDAR Diffusion Models ...