This week, we’re thrilled to bring together thousands of IBM clients, partners, business leaders and stakeholders at our annual Think® Conference being held in Orlando, Florida. For IBM, Think is all about how we support organizations in their digital transformation and help them compete in their markets via the use of technological innovation. There’s a …
Posted by Andrew Carroll, Product Lead, and Kishwar Shafin, Research Scientist, Genomics For decades, researchers worked together to assemble a complete copy of the molecular instructions for a human — a map of the human genome. The first draft was finished in 2000, but with several missing pieces. Even when a complete reference genome was …
Read more “Building better pangenomes to improve the equity of genomics”
You can now register machine learning (ML) models built in Amazon SageMaker Canvas with a single click to the Amazon SageMaker Model Registry, enabling you to operationalize ML models in production. Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own—without requiring any ML experience or having to …
Over the past decade, artificial intelligence has evolved from experimental prototypes and early successes to mainstream enterprise use. And the recent advancements in generative AI have begun to change the way we create, connect, and collaborate. As Google CEO Sundar Pichai said in his keynote, every business and organization is thinking about how to drive …
Artificial intelligence is teaming with crowdsourcing to improve mRNA vaccines’ thermostability — the ability to avoid breaking down under heat stress — making distribution more accessible worldwide. In this episode of the NVIDIA AI Podcast, host Noah Kravitz interviews Bojan Tunguz, a physicist and senior system software engineer, and Johnny Israeli, senior manager of AI …
Read more “How AI and Crowdsourcing Can Advance mRNA Vaccine Distribution”
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TL;DR We’re all FUCKED, actually ! Note: This is a conversation with GPT-4 regarding its capabilities and limits. Would you consider the success and progress of AI and LLMs (large language models) to be more akin to the introduction of electricity or more like the first working telephone? The development and success of AI and …
We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.
In today’s digital world, business and IT leaders are turning to automation to improve operational efficiency, increase employee productivity and, ultimately, boost business performance. At IBM, we believe that organizations need AI coupled with automation to help developers reduce time to productivity. By empowering employees with automation and AI technologies like machine learning, deep learning, …
Read more “Reshaping IT automation with IBM Watson Code Assistant”
Amazon SageMaker Serverless Inference allows you to serve model inference requests in real time without having to explicitly provision compute instances or configure scaling policies to handle traffic variations. You can let AWS handle the undifferentiated heavy lifting of managing the underlying infrastructure and save costs in the process. A Serverless Inference endpoint spins up …
Read more “Announcing provisioned concurrency for Amazon SageMaker Serverless Inference”