AI

Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon Nova models for your specific business needs. As customers scale their AI deployments, they need models that reflect proprietary knowledge and workflows — whether that means maintaining a consistent brand voice in customer communications, handling complex industry-specific workflows or accurately classifying intents in […]

In healthcare and life sciences, AI agents help organizations process clinical data, submit regulatory filings, automate medical coding, and accelerate drug development and commercialization. However, the sensitive nature of healthcare data and regulatory requirements like Good Practice (GxP) compliance require human oversight at key decision points. This is where human-in-the-loop (HITL) constructs become essential. In

If you’re looking to enhance your content understanding and search capabilities, audio embeddings offer a powerful solution. In this post, you’ll learn how to use Amazon Nova Multimodal Embeddings to transform your audio content to searchable, intelligent data that captures acoustic features like tone, emotion, musical characteristics, and environmental sounds. Finding specific content in these

You can use reinforcement Fine-Tuning (RFT) in Amazon Bedrock to customize Amazon Nova and supported open source models by defining what “good” looks like—no large labeled datasets required. By learning from reward signals rather than static examples, RFT delivers up to 66% accuracy gains over base models at reduced customization cost and complexity. This post

Muse Spark is Meta’s first model since its AI reboot, and the benchmarks suggest formidable performance.

The AI system, trained on real military data, is meant to give soldiers mission-critical information.

Intel’s role in Elon Musk’s ambitious chip venture is still murky, raising questions about what the partnership actually entails—and whether it can work at all.

Amid rapid enterprise growth, Anthropic is trying to lower the barrier to entry for businesses to build AI agents with Claude.

As organizations scale their AI workloads on Amazon Bedrock, understanding what’s driving spending becomes critical. Teams might need to perform chargebacks, investigate cost spikes, and guide optimization decisions, all of which require cost attribution at the workload level. With Amazon Bedrock Projects, you can attribute inference costs to specific workloads and analyze them in AWS

MIT.nano has announced that 16 startups became active participants in its START.nano program in 2025, more than doubling the number of new companies from the previous year. Aimed at speeding the transition of hard-tech innovation to market, START.nano supports new ventures through the discounted use of MIT.nano shared facilities and a guided access to the