Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for training and inference: Habana® Gaudi®2 and Habana® Greco™. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments in the data center while lowering the AI barrier to entry for companies of all sizes.
Intel’s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing
May 10, 2022 by Leave a Comment
Introducing Innodata’s New AI Data Marketplace
May 9, 2022 by Leave a Comment
Innodata is excited to announce its new Innodata AI Data Marketplace – an e-commerce portal where users can purchase on-demand datasets to accelerate AI/ML model building and training. With easy access to curated, industry-leading datasets, data science teams can now overcome persistent data challenges that often hamper AI initiatives, such as volume, variety, and privacy constraints.
Yandex Finds Better Way to Train ML Models Over the Internet
August 21, 2021 by Leave a Comment
A new proposal from tech giant Yandex overcomes a major hurdle in the advancement of machine learning by bringing the process to the masses, so that anyone with a home computer can help train a large neural network.
Deepgram Pioneers Novel Training Approach Setting New Standard for AI Companies
August 30, 2020 by Leave a Comment
Artificial intelligence has made astonishing technological advances in recent years and more companies are turning to AI to improve internal functions and unlock the potential of enterprise datasets. IDC has characterized AI as “inescapable” and estimates that by 2025, at least 90% of new enterprise apps will embed AI. But getting to the right models to effectively power AI is hard – and especially hard for speech. Today in order to address these needs, Deepgram has announced Deepgram AutoML, a new training capability that streamlines AI model development, reducing manual cycles for data scientists while giving them the best accuracy humanly possible.
AI Teaching AI Via Online Contract Law Game Created Due to Covid-19 Lockdown
August 26, 2020 by Leave a Comment
ContrAI is a modular, web-first product that uses AI to aid contract management and analysis. The contract processing required to train the ContrAI system was due to enter its second phase from May this year following the initial categorization process at the end of last year. However, the lock-down meant that it would no longer be possible to bring together groups of legal students to implement this in person. As a result, the online Clause Game was developed to enable the contracts to be marked up remotely, providing essential data to train the algorithm.
Distributed GPU Performance for Deep Learning Training
March 28, 2019 by Leave a Comment
If there is a time deadline by which training must be completed, or if it simply takes too long to complete training, distributing the workload across many GPUs can be used to reduce training time. This flexibility allows GPU resources to be maximally utilized and provides high ROI since time to results can be minimized. HPE highlights recent research that explores the performance of GPUs in a scale-out and scale-up scenarios for deep learning training.
