AI research dispatch tracking model releases, lab updates, benchmarks, safety work, and academic papers with links to primary or source materials and context.
Hapag-Lloyd stands as one of the world’s leading liner shipping companies, operating a modern fleet of 313 container ships with a total transport capacity of 2.5 million TEU (Twenty-foot Equivalent …
Direct communication between buyers and sellers outside approved channels can result in significant revenue loss annually while severely damaging brand reputation and destroying valuable business …
AI agents in production require secure access to external services. Amazon Bedrock AgentCore Identity, available as a standalone service, secures how your AI agents access external services whether …
Large-scale networked systems underpin cloud computing, AI, and distributed applications and services. The USENIX Symposium on Networked Systems Design and Implementation 2026 (opens in new tab) …
Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence.
AI agents that perform well at launch don’t stay that way. As models …
Building meaningful dashboards demands hours of manual setup, even for experienced BI professionals. Amazon Quick now generates complete multi-sheet dashboards from natural language prompts, taking …
Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence.
AI agents that perform well at launch don’t stay that way. As models …
Business leaders across industries rely on operational dashboards as the shared source of truth that their teams execute against daily. But dashboards are built to answer known questions. When teams …
Every organization has access to the same foundation models. The real competitive advantage comes from customizing them with your proprietary data and domain expertise. But getting there is complex, …
As organizations scale generative AI workloads in production, securing reliable GPU compute has become one of the most persistent operational challenges. Large language models (LLMs) and multimodal …
Every BI team knows this bottleneck: a business user has a question that falls outside existing dashboards, so they file a ticket. An analyst writes the query, validates the results, and delivers …
Organizations today are increasingly looking to combine analytics and AI to accelerate insights and decision-making. Amazon Quick , a unified agentic AI-powered analytics and decision intelligence …
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AI systems are about to start building …
When she was a child, MIT senior Olivia Honeycutt would spend summers on her grandparents’ farm in rural Alabama outside Birmingham. The practical and cultural differences between farm and city life …
The human brain remains one of the most fascinating and perplexing mysteries in medicine. Scientists still struggle to match neurological activity with brain function and detect problems early, …
Migrating to Amazon Quick doesn’t have to mean starting from scratch. Your dashboards encode hard-won domain knowledge: calculated fields your analysts perfected, layouts your executives rely on every …
Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and …
At a glance Some risks appear only when agents interact, not when tested alone. Actions that seem harmless can cascade causing a chain reaction across an agent network. In our tests, a single …
Large language models (LLMs) now drive the most advanced conversational agents, creative tools, and decision-support systems. However, their raw output often contains inaccuracies, policy …
AI agents in production environments often need to reach internal APIs, databases, and private resources that sit behind Amazon Virtual Private Cloud (Amazon VPC) boundaries. Managing private …
Modern enterprises face mounting challenges in extracting actionable insights from vast data lakes and lakehouses spanning petabytes of structured and unstructured data. Traditional analytics require …
This post was co-authored with Krišjānis Kočāns, Kaspars Magaznieks, Sergei Kiriasov from Sun Finance Group
If you process identity documents at scale—loan applications, account openings, compliance …
Maintaining model agility is crucial for organizations to adapt to technological advancements and optimize their artificial intelligence (AI) solutions. Whether transitioning between different large …
“The thing that really struck me when I came to MIT and strikes me every single day is the stuff that’s going on here is amazing. The science, the engineering… every day I hear something that makes my …
Engineering trust with safeguards for clinical-grade AI The transition and deployment of AI into clinical environments requires uncompromising architectural and operational safeguards. In our research …