Remove science-technology hpc-simulation-data-science
article thumbnail

How will quantum impact the biotech industry?

IBM Journey to AI blog

The physics of atoms and the technology behind treating disease might sound like disparate fields. However, in the past few decades, advances in artificial intelligence, sensing, simulation and more have driven enormous impacts within the biotech industry. Simulating nature. What is quantum computing?

article thumbnail

Top 6 Kubernetes use cases

IBM Journey to AI blog

Kubernetes , the world’s most popular open-source container orchestration platform , is considered a major milestone in the history of cloud-native technologies. While Kubernetes has become the de facto standard for container management, many companies also use the technology for a broader range of use cases.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Everything NVIDIA announced at GTC 2024

Dataconomy

Sovereign AI solutions are delivered globally through collaboration between Oracle and NVIDIA , promoting economic growth while ensuring data sovereignty. Expanded partnership between SAP SE and NVIDIA is announced to accelerate enterprise adoption of generative AI and data transformation across SAP’s cloud solutions.

Azure 113
article thumbnail

Comparison of NVIDIA-A100, H100 and H200 for LLMs

Heartbeat

A significant player is pushing the boundaries and enabling data-intensive work like HPC and AI: NVIDIA! Although Nvidia is the choice of many companies and researchers when developing and selling the technology, I will also touch on the supply-demand imbalance. With a mind-blowing 141GB memory capacity at 4.8 Exciting News!

article thumbnail

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 71
article thumbnail

What Can AI Teach Us About Data Centers? Part 1: Overview and Technical Considerations

ODSC - Open Data Science

Its first application was developed at the Massachusetts Institute of Technology in 1966, well before the dawn of personal computers. [1] I used ChaptGPT to learn a host of things about data centers and will list those below and in Parts 2 and 3 of this series. Why Use AI to Learn About Data Centers and How Does It Work?

article thumbnail

Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

ML Review

Often two seemingly distinct bodies of knowledge coalesce to push our understanding, technologies and solutions into exciting and unforeseen areas. In our previous work , we briefly attempted to outline Computer Vision’s claim on intelligence; building systems that can learn, infer and reason about the world from visual data alone.