Artificial Intelligence

Aetion is a leading provider of decision-grade real-world evidence software to biopharma, payors, and regulatory agencies. In this post, we review how Aetion is using Amazon Bedrock to help streamline the analytical process toward producing decision-grade real-world evidence and enable users without data science expertise to interact with complex real-world datasets.

There is consistent customer feedback that AI assistants are the most useful when users can interface with them within the productivity tools they already use on a daily basis, to avoid switching applications and context. Web applications like Amazon Q Business and Slack have become essential environments for modern AI assistant deployment. This post explores how diverse interfaces enhance user interaction, improve accessibility, and cater to varying preferences.

When non-technical users can create and deploy reliable AI workflows, organizations can do more to serve their clientele Platforms for developing no- and low-code solutions are bridging the gap between powerful AI models and everyone who’d like to harness them. Gooey.AI, a member of the NVIDIA Inception program for cutting-edge startups, offers one such platform, Read Article

NVIDIA’s GeForce RTX 5090 and 5080 GPUs — which are based on the groundbreaking NVIDIA Blackwell architecture —offer up to 8x faster frame rates with NVIDIA DLSS 4 technology, lower latency with NVIDIA Reflex 2 and enhanced graphical fidelity with NVIDIA RTX neural shaders. These GPUs were built to accelerate the latest generative AI workloads, Read Article

The financial services industry is reaching an important milestone with AI, as organizations move beyond testing and experimentation to successful AI implementation, driving business results. NVIDIA’s fifth annual State of AI in Financial Services report shows how financial institutions have consolidated their AI efforts to focus on core applications, signaling a significant increase in AI Read Article

The solution presented in this post demonstrates a powerful pattern for accelerating video and audio review workflows while maintaining human oversight. By combining the power of AI models in Amazon Bedrock with human expertise, you can create tools that not only boost productivity but also maintain the critical element of human judgment in important decision-making processes.

Editor’s note: This article, originally published on Nov. 15, 2023, has been updated. To understand the latest advancements in generative AI, imagine a courtroom. Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute — requires special expertise, so judges Read Article

In this post, we demonstrate how to use H-optimus-0 for two common digital pathology tasks: patch-level analysis for detailed tissue examination, and slide-level analysis for broader diagnostic assessment. Through practical examples, we show you how to adapt this FM to these specific use cases while optimizing computational resources.

The recently released DeepSeek-R1 model family has brought a new wave of excitement to the AI community, allowing enthusiasts and developers to run state-of-the-art reasoning models with problem-solving, math and code capabilities, all from the privacy of local PCs. With up to 3,352 trillion operations per second of AI horsepower, NVIDIA GeForce RTX 50 Series Read Article

DeepSeek-R1 is an open model with state-of-the-art reasoning capabilities. Instead of offering direct responses, AI models like DeepSeek-R1 perform reasoning through the chain-of-thought method to generate the best answer. Performing this sequence of inference passes — using reason to arrive at the best answer — is known as test-time scaling. DeepSeek-R1 is a perfect example Read Article

New GeForce RTX 5090 and RTX 5080 GPUs — built on the NVIDIA Blackwell architecture — are now available to power generative AI content creation and accelerate creative performance. GeForce RTX 5090 and RTX 5080 GPUs feature fifth-generation Tensor Cores with support for FP4, reducing the VRAM requirements to run generative AI models while doubling Read Article

AI agents with advanced perception and cognition capabilities are making digital experiences more dynamic and personalized across retail, finance, entertainment and other industries. In this episode of the NVIDIA AI Podcast, Chris Covert, director of product experiences at Inworld AI, highlights how intelligent digital humans and characters are reshaping interactive experiences, from gaming to healthcare. Read Article

Named after Greek mythology’s goddess of the sea, France-based startup Amphitrite is fusing satellite data and AI to simulate and predict oceanic currents and weather. It’s work that’s making waves in maritime-shipping and oceanic litter-collection operations. Amphitrite’s AI models — powered by the NVIDIA AI and Earth-2 platforms — provide insights on positioning vessels to Read Article

Businesses across every industry are rolling out AI services this year. For Microsoft, Oracle, Perplexity, Snap and hundreds of other leading companies, using the NVIDIA AI inference platform — a full stack comprising world-class silicon, systems and software — is the key to delivering high-throughput and low-latency inference and enabling great user experiences while lowering Read Article

Companies and organizations are increasingly using AI to protect their customers and thwart the efforts of fraudsters around the world. Voice security company Hiya found that 550 million scam calls were placed per week in 2023, with INTERPOL estimating that scammers stole $1 trillion from victims that same year. In the U.S., one of four Read Article

More than 90 million new vehicles are introduced to roads across the globe every year, leading to an annual 12% increase in traffic congestion — according to NoTraffic, a member of the NVIDIA Inception program for cutting-edge startups and the NVIDIA Metropolis vision AI ecosystem. Still, 99% of the world’s traffic signals run on fixed Read Article

AI agents are poised to transform productivity for the world’s billion knowledge workers with “knowledge robots” that can accomplish a variety of tasks. To develop AI agents, enterprises need to address critical concerns like trust, safety, security and compliance. New NVIDIA NIM microservices for AI guardrails — part of the NVIDIA NeMo Guardrails collection of Read Article

Troves of unwatched surgical video footage are finding new life, fueling AI tools that help make surgery safer and enhance surgical education. The Surgical Data Science Collective (SDSC) is transforming global surgery through AI-driven video analysis, helping to close the gaps in surgical training and practice. In this episode of the NVIDIA AI Podcast, Margaux Read Article

AI is making inroads across the entire healthcare industry — from genomic research to drug discovery, clinical trial workflows and patient care. In a fireside chat Monday during the annual J.P. Morgan Healthcare Conference in San Francisco, NVIDIA founder and CEO Jensen Huang took the stage with industry leaders progressing each of these areas to Read Article

The research team at AWS has worked extensively on building and evaluating the multi-agent collaboration (MAC) framework so customers can orchestrate multiple AI agents on Amazon Bedrock Agents. In this post, we explore the concept of multi-agent collaboration (MAC) and its benefits, as well as the key components of our MAC framework. We also go deeper into our evaluation methodology and present insights from our studies.