Hugging Face Launches Optimum, An Open Source Optimisation Toolkit For Transformers At Scale
We will soon announce new hardware partners who have joined us on our journey toward machine learning efficiency.
We will soon announce new hardware partners who have joined us on our journey toward machine learning efficiency.
TensorFlow Similarity looks to support semi-supervised and self-supervised learning techniques in the coming months.
The event will include a keynote from NVIDIA CEO and founder Jensen Huang, alongside a wide variety of sessions and talks with luminaries around the world.
GSLM uses the latest breakthroughs in representation learning, allowing it to work directly from raw audio signals, without any text or labels.
For some time now, intelligence and energy have been the fundamental limiters towards most things we want.
In June 2021, the company took hundreds of restaurant outlets online across India with conversation commerce.
If 80 per cent of machine learning work is data preparation, then ensuring data quality is the most important work of a machine learning team
Logistic regression is not regression, but a classification algorithm
In 2020-21, a total of 94 new cases were taken up for investigation by SEBI.
HugsVision supports both CPU and GPU computations.
PyTorch Tabular is designed to make the standard modelling pipeline easy enough for practitioners and standard enough for production deployment.
PyTorch lightning software and developer environment is available on NGC Catalog
A group of researchers from Brown University, University of California, San Diego (UCSD), and Qualcomm recently developed a brain-computer interface (BCIs) system called ‘Neurograins’ that
The main idea of the ‘Collect & Infer’ paradigm is to re-think data-efficient reinforcement learning using clear separation of data collection and exploitation into two distinct bet connected processes
Only 10 percent of the total number of engineering colleges in India offer courses in new-age technologies.
The dataset used to carry out the experiment include Amazon, IMDB, CNN/DailyMail, and PubMed.
Tensorflow has used a statistical 3D human body called GHUM, which is developed using a large corpus of human shapes and motions.
Last week at the annual technology conference ‘Baidu World 2021’, the Chinese internet giant Baidu unveiled its second-generation AI chip Kunlun (Kunlun II), robocar, a
Federated learning was first introduced by Google in 2016
A single CS-2 system can support models up to 120 trillion parameters.
Only 3 percent possess skills that are needed for jobs in emerging tech such as AI, machine learning, etc.
Ather Energy has about 10 data scientists who work with edge devices and cloud development, feature deployment, and analysis of the vast data it collects
Maze supports scalable SOTA algorithms capable of handling multi-agent and hierarchical RL settings with dictionary action and observation spaces
In the Mckinsey report, out of 160 companies, 88 percent of them did not progress beyond the experimental stage
Zomato saw 3x improvement in its ‘feature store’ service compared to last year
MPL solves a diverse set of AI/ML problems specific to the gaming industry with one of the largest available datasets in the mobile gaming space in the world
CyberDog is powered by the NVIDIA Jetson Xavier NX platform
According to Kaggle, the most commonly used algorithms were linear and logistic regression, followed closely by decision trees and random forests.
Omniverse has been downloaded by over 50K individual creators since its open beta version launched in December.
Omniverse is cloud-native, scales across multiple GPUs, runs on any RTX platform, and streams remotely on any device.
Join the forefront of data innovation at the Data Engineering Summit 2024, where industry leaders redefine technology’s future.
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