PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this post, you will discover how to use PyTorch to develop and evaluate neural network models for regression problems. After completing this post, you… Read More »Building a Regression Model in PyTorch Adrian Tam MachineLearningMastery.com
In this blog post, we will explore the differences between magnetic disks, optical disks, and solid-state drives (SSD). We will compare them on important features such as access speed, storage density, and longevity to help you make an informed decision which one is the… Read More »Magnetic Disk vs. Optical Disk vs. SSD: An In-Depth Comparison Seb Programmathically
Hard disks and floppy disks are two types of storage devices used in computers. Hard disks use magnetic media to store data, while floppy disks use laser technology to encode information onto an aluminum foil-coated diskette. While hard disks are still widely used, floppy… Read More »Hard Disk vs Floppy Disk: A Comparison Seb Programmathically
Posted by Jen Person, Senior Developer Relations Engineer I’m the type of person to say I don’t like to make New Year’s resolutions, but then I still quietly resolve to make some changes anyway. After overindulging over the holidays, I resolve to eat healthier,… Read More »Get inspired in 2023 with new machine learning solutions for web developers with MediaPipe noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog
Posted by Zvika Ben-Haim and Omer Nevo, Software Engineers, Google Research As global temperatures rise, wildfires around the world are becoming more frequent and more dangerous. Their effects are felt by many communities as people evacuate their homes or suffer harm even from proximity to… Read More »Real-time tracking of wildfire boundaries using satellite imagery Google AI Google AI Blog
Posted by Scott Main, Technical Writer, and the Coral team In just a few years, ML models for mobile and embedded systems have come a very long way. With TensorFlow Lite (TFLite), you can now run sophisticated models that perform pose estimation and object… Read More »TensorFlow Lite Micro with ML acceleration noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog
Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research Scientist, Google Research (This is Part 3 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Great machine learning… Read More »Google Research, 2022 & beyond: ML & computer systems Google AI Google AI Blog
Posted by Xingyou (Richard) Song, Research Scientist, and Chansoo Lee, Software Engineer, Google Research, Brain Team Google Vizier is the de-facto system for blackbox optimization over objective functions and hyperparameters across Google, having serviced some of Google’s largest research efforts and optimized a wide range… Read More »Open Source Vizier: Towards reliable and flexible hyperparameter and blackbox optimization Google AI Google AI Blog
NVIDIA A100 Tensor Core GPUs running on Supermicro servers have captured leading results for inference in the latest STAC-ML Markets benchmark, a key technology performance gauge for the financial services industry. The results show NVIDIA demonstrating unrivaled throughput — serving up thousands of inferences… Read More »NVIDIA A100 Aces Throughput, Latency Results in Key Inference Benchmark for Financial Services Industry Malcolm deMayo – Archives Page 1 | NVIDIA Blog
For several years, NVIDIA has been working with some of the world’s leading financial institutions to develop and execute a wide range of rapidly evolving AI strategies. For the past three years, we’ve asked them to tell us collectively what’s on the top of… Read More »Survey Reveals Financial Industry’s Top 4 AI Priorities for 2023 Kevin Levitt – Archives Page 1 | NVIDIA Blog