In this contributed article, AI, and computer vision enthusiast Melanie Johnson believes that as AutoML continues to progress, it holds the promise of enhancing efficiency and accuracy in machine learning tasks. However, it is crucial to strike a balance between automation and human expertise, leveraging AutoML as a valuable tool while still relying on domain knowledge and the skillful guidance of ML professionals. With continued advancements and collaboration, AutoML has the potential to drive innovation and create new opportunities in the realm of artificial intelligence and data analysis.
Search Results for: machine learning
DDN is a Leading Data Storage Company Behind the Machine Learning and Generative AI Explosion
May 14, 2023 by
DDN®, a leader in artificial intelligence (AI) and multi-cloud data management solutions, announced that it has sold more AI storage appliances in the first four months of 2023 than it had for all of 2022. Broad enthusiasm for the business opportunities presented by generative AI has resulted in a steady increase in investment in AI and AI infrastructure.
How Machine Learning is Cleaning Up Medical Records
April 19, 2023 by
In this contributed article, Dr. Oleg Bess, practicing physician and CEO of 4medica, discusses how machine learning is doing great things in medicine, including improving medical diagnosis and drug manufacturing. It’s also improving healthcare in another way that doesn’t earn headlines but is at the core of care delivery: eliminating duplicate patient records, and providing high-quality data for patients and providers.
Video Highlights: Building Machine Learning Apps with Hugging Face: LLMs to Diffusion Modeling
April 15, 2023 by
In this video presentation from our friends over at FourthBrain we have a timely presentation by Jeff Boudier, Product Director at Hugging Face, to discuss building machine learning apps with Hugging Face from LLMs to diffusion modeling.
Lightning AI Releases PyTorch Lightning 2.0 and a New Open Source Library for Lightweight Scaling of Machine Learning Models
March 15, 2023 by
Lightning AI, the company accelerating the development of an AI-powered world, today announced the general availability of PyTorch Lightning 2.0, the company’s flagship open source AI framework used by more than 10,000 organizations to quickly and cost-efficiently train and scale machine learning models. The new release introduces a stable API, offers a host of powerful features with a smaller footprint, and is easier to read and debug.
Databricks Launches Simplified Real-Time Machine Learning for the Lakehouse
March 7, 2023 by
Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications. Now, organizations can leverage the Databricks Lakehouse Platform to integrate real-time machine learning systems across their business, from personalized recommendations to customer service chatbots, without the need to configure and manage the underlying infrastructure.
Civo Announces Launch of New Machine Learning Managed Service
February 8, 2023 by
Civo, the cloud native service provider, has announced its new Machine Learning (ML) managed service, “Kubeflow as a Service” aimed at improving the developer experience and reducing the resources and time required to gain insights from ML algorithms.
Comet Announces Convergence 2023, the Leading Conference to Explore the New Frontiers of Machine Learning
February 4, 2023 by
Comet, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced its second annual Convergence conference. The event, which is free to the ML community, will take place virtually March 7-8, 2023.
New Study: Amid ChatGPT Craze, MLOps Spend Will Surge in 2023 as 60% of Machine Learning Leaders Plan to Boost Investments by Over 25%
January 27, 2023 by
ClearML, a leading open source, end-to-end MLOps platform, announced wide availability of its new, in-depth research report, MLOps in 2023: What Does the Future Hold? Polling 200 U.S.-based machine learning decision makers, the report examines key trends, opportunities, and challenges in machine learning and MLOps (machine learning operations).
DataStax Acquires Machine Learning Company Kaskada to Unlock Real-Time AI
January 13, 2023 by
DataStax, the real-time AI company, announced it has acquired Kaskada, a machine learning (ML) company that first solved managing, storing and accessing time-based data to train behavioral ML models and deliver the instant, actionable insights that fuel artificial intelligence (AI). Both DataStax and Kaskada have a track record of contributing to open source communities. Datastax will open source the core Kaskada technology initially, and it plans to offer a new machine learning cloud service later this year.
