Sergey Tulyakov’s Post

Hi, Using a camera to control your laptop with machine learning – no mouse needed! Control it with your face and hands. Building Intelligent Systems for Tomorrow #MachineLearning #ComputerVision #CNN

Have you ever wanted to interact with a state of the art compute vision model? 🔎 Check out our interactive demo of Google's OWL-ViT object detection model! #machinelearning #computervision

Step up your computer vision game by learning to automate the labeling process for object re-identification and tracking. Check out our comprehensive guide for all the details. #ComputerVision #AutomationGuide #ObjectReID

Organisations and businesses, it’s time we embrace machine learning for our talent acquisition strategy, especially for recruitment and selection and learning and development, gen Z skills are more diverse. It’s critical that we embrace these diverse skills and use to retain our gen Z …gone are the days where organisations use classroom training with trainers, gamification and machine learning are good ways of embracing the change in learning and development. #learninganddevelopment #talentaquisition #inclusion #generationZ #embracediversity

this is actually very impressive

Happy new year everyone, holiday season project is finally here! I've decided to put a few technologies together this time (embeddings, Vision API, LLMs, Autoencoders, vector databases and of course my shiny RTX4090) to build a "embedding set reconstructor": given a set of N "valid" embeddings, I've trained a model to generate the "missing" embedding given N-1 embeddings. Then applied this concept to the Fashion world using a LARGE research dataset (Chictopia10k), results are surprisingly good! https://lnkd.in/dD5wMXyQ

Working on Image Processing and Bit part of Machine learning... We are Working on Face Detection Attendance System using ESP32-CAM. Here ESP32-Cam don't have USB input, So we need a Interface to program it, However it is not as easy as it looks. It's really hard to Implement. New Challenge - #machinelearning #imageprocessing #FaceDetectionAttendanceSystem

Simple. 'HPE's Cray Supercomputing XD665 enables the addition of Large Language Model integration, Model Training and Fine-Tuning for workloads across industries including Healthcare & Life Science, Financial Services and Manufacturing'

here's another AI weather-model - Google DeepMind's GraphCast model. https://lnkd.in/gxnpP7sJ It's already challenging conventional weather models like the ECMWF for various parameters. In fact, it takes less than 60 seconds to generate a full 10-day forecast using a suitable graphics processing unit that's found in retail computers! there are other AI weather models like Pangu-Weather and FourCastNet with similar features. I'd imagine that these are being rolled out to enhance dam safety and water security across Australia.