Ascendant Bot
- Artificial Intelligence , Data Center , Deep Learning , Embedded Computing , Enterprise software , Events , Generative AI , Healthcare and Life Sciences , In the NVIDIA Studio , Inception , Inference , Robotics , Social Impact
- November 13, 2024
Japan Develops Next-Generation Drug Design, Healthcare Robotics and Digital Health Platforms
To provide high-quality medical care to its population — around 30% of whom are 65 or older — Japan is pursuing sovereign AI initiatives supporting nearly every aspect of healthcare. AI tools trained on country-specific data and local compute infrastructure are supercharging the abilities of Japan’s clinicians and researchers so they can care for patients,
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- Artificial Intelligence , Data Center , Enterprise software , Healthcare and Life Sciences , In the NVIDIA Studio , NVIDIA Inception , Social Impact
- October 31, 2024
Startup Helps Surgeons Target Breast Cancers With AI-Powered 3D Visualizations
A new AI-powered, imaging-based technology that creates accurate three-dimensional models of tumors, veins and other soft tissue offers a promising new method to help surgeons operate on, and better treat, breast cancers. The technology, from Illinois-based startup SimBioSys, converts routine black-and-white MRI images into spatially accurate, volumetric images of a patient’s breasts. It then illuminates
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- Artificial Intelligence , Data Science , Enterprise software , Events , Generative AI , Healthcare and Life Sciences , In the NVIDIA Studio , Inference , NVIDIA AI Enterprise , NVIDIA NeMo , NVIDIA NIM , NVIDIA NIM Agent Blueprints , NVIDIA Research , Public Sector , Social Impact
- October 23, 2024
US Healthcare System Deploys AI Agents, From Research to Rounds
The U.S. healthcare system is adopting digital health agents to harness AI across the board, from research laboratories to clinical settings. The latest AI-accelerated tools — on display at the NVIDIA AI Summit taking place this week in Washington, D.C. — include NVIDIA NIM, a collection of cloud-native microservices that support AI model deployment and
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- Artificial Intelligence , Data Center , Enterprise software , Generative AI , Hardware , In the NVIDIA Studio , NVIDIA AI Enterprise , NVLink , TensorRT
- October 23, 2024
What’s the ROI? Getting the Most Out of LLM Inference
Large language models and the applications they power enable unprecedented opportunities for organizations to get deeper insights from their data reservoirs and to build entirely new classes of applications. But with opportunities often come challenges. Both on premises and in the cloud, applications that are expected to run in real time place significant demands on
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- Artificial Intelligence , Customer Stories , Enterprise software , Generative AI , Healthcare and Life Sciences , In the NVIDIA Studio , Inception , NVIDIA in Europe , NVIDIA NeMo , NVIDIA NIM , Social Impact
- October 23, 2024
AI’ll Be by Your Side: Mental Health Startup Enhances Therapist-Client Connections
Half of the world’s population will experience a mental health disorder — but the median number of mental health workers per 100,000 people is just 13, according to the World Health Organization. To help tackle this disparity — which can vary by over 40x between high-income and low-income countries — a Madrid-based startup is offering
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- Amazon CloudFront , Artificial Intelligence , Enterprise software , Generative AI , Hardware , In the NVIDIA Studio , Inception , Inference , NVIDIA NIM , Social Impact
- October 23, 2024
NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration
NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies. Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to
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- Amazon Machine Learning , Arm , CI/CD , Data Science , Enterprise software , GitHub , mlops , PyTorch
- September 11, 2024
Streamlining your MLOps pipeline with GitHub Actions and Arm64 runners
Explore how Arm’s optimized performance and cost-efficient architecture, coupled with PyTorch, can enhance machine learning operations, from model training to deployment and learn how to leverage CI/CD for machine learning workflows, while reducing time, cost, and errors in the process.
The post Streamlining your MLOps pipeline with GitHub Actions and Arm64 runners appeared first on The GitHub Blog.
- Amazon CloudFront , Artificial Intelligence , Data Center , Enterprise software , Generative AI , GPU , Hardware , In the NVIDIA Studio , Networking & Content Delivery , NVIDIA AI Enterprise , NVIDIA cuOpt , NVIDIA NIM , NVLink , Omniverse
- September 11, 2024
NVIDIA and Oracle to Accelerate AI and Data Processing for Enterprises
Enterprises are looking for increasingly powerful compute to support their AI workloads and accelerate data processing. The efficiency gained can translate to better returns for their investments in AI training and fine-tuning, and improved user experiences for AI inference. At the Oracle CloudWorld conference today, Oracle Cloud Infrastructure (OCI) announced the first zettascale OCI Supercluster,
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- Artificial Intelligence , Enterprise software , Generative AI , Holoscan for Media , In the NVIDIA Studio , Media and Entertainment
- September 9, 2024
Live Media Reimagined: NVIDIA Holoscan for Media Now Available for Production
Companies in broadcast, sports and streaming are transitioning to software-defined infrastructure to benefit from flexible deployment and to more easily adopt the latest AI technologies. NVIDIA Holoscan for Media, now in limited availability, is an AI-enabled, software-defined platform that allows live media and video pipelines to run on the same infrastructure as AI. This enables
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- Artificial Intelligence , Enterprise software , Generative AI , In the NVIDIA Studio , NVIDIA NIM , Retail
- September 6, 2024
How AI Is Personalizing Customer Service Experiences Across Industries
Customer service departments across industries are facing increased call volumes, high customer service agent turnover, talent shortages and shifting customer expectations. Customers expect both self-help options and real-time, person-to-person support. These expectations for seamless, personalized experiences extend across digital communication channels, including live chat, text and social media. Despite the rise of digital channels, many
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