AI research dispatch tracking model releases, lab updates, benchmarks, safety work, and academic papers with links to primary or source materials and context.
Agentic tool calling is what makes AI agents useful in production. It’s how they query databases, trigger workflows, retrieve real-time data, and act on a user’s behalf. But base models frequently …
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 …
Content creators and organizations today face a persistent challenge: producing high-quality audio content at scale. Traditional podcast production requires significant time investment (research, …
Open models are driving a new wave of on-device AI, extending innovation beyond the cloud to everyday devices. As these models advance, their value increasingly depends on access to local, real-time …
Evaluating single-turn agent interactions follows a pattern that most teams understand well. You provide an input, collect the output, and judge the result. Frameworks like Strands Evaluation SDK make …
No joke — GFN Thursday is skipping the tricks and heading straight into the games. April kicks off with ten new titles, bringing fresh adventures to GeForce NOW , including the launch of Capcom’s …
At the edge, our E2B and E4B models redefine on-device utility, prioritizing multimodal capabilities, low-latency processing and seamless ecosystem integration over raw parameter count. Powerful, …
This post is cowritten by Jeremy Little and Chris Day from Rocket Close. Rocket Close , a Detroit-based title and appraisal management company within the Rocket Companies environment, has enhanced …
AI agents have evolved significantly beyond chat. Writing code, persist filesystem state, execute shell commands, and managing states throughout the filesystem are some examples of things that they …
This post is cowritten with Altay Sansal and Alejandro Valenciano from TGS. TGS , a geoscience data provider for the energy sector, supports companies’ exploration and production workflows with …
AI agents that can browse the web open powerful possibilities—from research automation to real-time data gathering. However, giving an AI agent unrestricted internet access raises security and …
Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that …
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv and feedback from readers. If you’d like to support this, please subscribe. AI might let us build “political …
Designers, makers, and others often use 3D printing to rapidly prototype a range of functional objects, from movie props to medical devices. Accurate print previews are essential so users know a …
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during …
CERAWeek — dubbed the Davos of energy — is where policymakers, producers, technologists and financiers gather to discuss how the world powers itself next. NVIDIA and Emerald AI unveiled at the …
This post is cowritten with David Kim, and Premjit Singh from Ring. Scaling self-service support globally presents challenges beyond translation. In this post, we show you how Ring , Amazon’s home …
[ ](https://d2908q01vomqb2.cloudfront.net/artifacts/DBSBlogs/ML-20584/AIRITeaserShort.mp4?_=1) DevOps used to be predictable: same input, same output, binary success, static dependencies, concrete …
Compliance audits require comprehensive evidence trails, often involving hundreds of screenshots across multiple systems. Your compliance teams likely spend hours manually navigating through GitHub …
I’m excited to announce that AWS Security Agent on-demand penetration testing and AWS DevOps Agent are now generally available, representing a new class of AI capabilities we announced at re:Invent …
Quality assurance (QA) automation is critical for modern software delivery. It catches regressions before production, validates user journeys at scale, and enables confident feature releases. But …
Managing costs across multiple AWS accounts often requires finance teams to query data from several sources to get a complete view of spending and optimization opportunities. In this post, you learn …
Your AI agent worked in the demo, impressed stakeholders, handled test scenarios, and seemed ready for production. Then you deployed it, and the picture changed. Real users experienced wrong tool …
Monitoring competitor prices is essential for ecommerce teams to maintain a market edge. However, many teams remain trapped in manual tracking, wasting hours daily checking individual websites. This …
At a glance AI benchmarks report performance on specific tasks but provide limited insight into underlying capabilities; ADeLe evaluates models by scoring both tasks and models across 18 core …
