Ascendant Bot
- Amazon , Amazon Machine Learning , Amazon Q Developer , Amazon SageMaker , Amazon SageMaker Canvas , Announcements , Artificial Intelligence , AWS re:Invent , Book of News , Data Science , Featured , Launch
- December 4, 2024
Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas
Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.
- Artificial Intelligence , Climate , Corporate Sustainability , Data Center , Data Science , Energy , GPU , In the NVIDIA Studio , Inference , NVIDIA AI Enterprise , NVIDIA NIM , Scientific Visualization , Social Impact , Supercomputing
- November 18, 2024
From Algorithms to Atoms: NVIDIA ALCHEMI NIM Catalyzes Sustainable Materials Research for EV Batteries, Solar Panels and More
More than 96% of all manufactured goods — ranging from everyday products, like laundry detergent and food packaging, to advanced industrial components, such as semiconductors, batteries and solar panels — rely on chemicals that cannot be replaced with alternative materials. With AI and the latest technological advancements, researchers and developers are studying ways to create
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- Aerospace , Amazon Machine Learning , Artificial Intelligence , Data Center , Data Science , Enterprise software , Events , High-Performance Computing , In the NVIDIA Studio , NVIDIA Research , Supercomputing
- November 18, 2024
NVIDIA Releases cuPyNumeric, Enabling Scientists to Harness GPU Acceleration at Cluster Scale
Whether they’re looking at nanoscale electron behaviors or starry galaxies colliding millions of light years away, many scientists share a common challenge — they must comb through petabytes of data to extract insights that can advance their fields. With the NVIDIA cuPyNumeric accelerated computing library, researchers can now take their data-crunching Python code and effortlessly
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- Artificial Intelligence , Data Science , Generative AI , Healthcare and Life Sciences , In the NVIDIA Studio , NVIDIA Research , Social Impact
- November 14, 2024
Keeping an AI on Diabetes Risk: Gen AI Model Predicts Blood Sugar Levels Four Years Out
Diabetics — or others monitoring their sugar intake — may look at a cookie and wonder, “How will eating this affect my glucose levels?” A generative AI model can now predict the answer. Researchers from the Weizmann Institute of Science, Tel Aviv-based startup Pheno.AI and NVIDIA led the development of GluFormer, an AI model that
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- Artificial Intelligence , Customer Stories , Data Center , Data Science , Deep Learning Institute , Energy , Events , Financial Services , Generative AI , Healthcare and Life Sciences , In the NVIDIA Studio , Inference , NVIDIA AI Enterprise , NVIDIA Inception , NVIDIA NIM , Open Source , Social Impact , Telecommunications
- November 14, 2024
Indonesia Tech Leaders Team With NVIDIA and Partners to Launch Nation’s AI
Working with NVIDIA and its partners, Indonesia’s technology leaders have launched an initiative to bring sovereign AI to the nation’s more than 277 million Indonesian speakers. The collaboration is grounded in a broad public-private partnership that reflects the nation’s concept of “gotong royong,” a term describing a spirit of mutual assistance and community collaboration. NVIDIA
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- Amazon Machine Learning , Artificial Intelligence , Customer Stories , Cybersecurity , Data Center , Data Science , Financial Services , Generative AI , In the NVIDIA Studio , Inference , NVIDIA AI Workflow , Social Impact
- October 28, 2024
Bring Receipts: New NVIDIA AI Workflow Detects Fraudulent Credit Card Transactions
Financial losses from worldwide credit card transaction fraud are expected to reach $43 billion by 2026. A new NVIDIA AI workflow for fraud detection running on Amazon Web Services (AWS) can help combat this burgeoning epidemic — using accelerated data processing and advanced algorithms to improve AI’s ability to detect and prevent credit card transaction
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- Artificial Intelligence , Customer Stories , Data Center , Data Science , Financial Services , Generative AI , GPU , In the NVIDIA Studio , Inception , NVIDIA NIM , Social Impact
- October 28, 2024
Fintech Leaders Tap Generative AI for Safer, Faster, More Accurate Financial Services
An overwhelming 91% of financial services industry (FSI) companies are either assessing artificial intelligence or already have it in the bag as a tool that’s driving innovation, improving operational efficiency and enhancing customer experiences. Generative AI — powered by NVIDIA NIM microservices and accelerated computing — can help organizations improve portfolio optimization, fraud detection, customer
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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 , Customer Stories , Data Center , Data Science , Energy , Genomics , Healthcare and Life Sciences , In the NVIDIA Studio , NVIDIA DGX , Social Impact
- September 24, 2024
To Save Lives, and Energy, Wellcome Sanger Institute Speeds Cancer Research With NVIDIA Accelerated Computing
The Wellcome Sanger Institute, a key contributor to the international Human Genome Project, is turning to NVIDIA accelerated computing to save energy while saving lives. With one of the world’s largest sequencing facilities, the U.K.-based institute has read more than 48 petabases — or 48 quadrillion base pairs — of DNA and RNA sequences 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.
