Hi everyone, In my last post, and I know its been a while, I promised to share insights from the projects I have been working on. And I have been working, like never before — in a state of flow, of creativity or discovery and I am not really looking forward to sharing everything with you. The project …
Part 1 introduced granular cost attribution for Amazon Bedrock. This feature automatically traces every inference request back to the IAM principal that made the call. It showed how the new line_item_iam_principal column can give you per-user and per-application visibility. With optional cost allocation tags, you can also aggregate spend by team, project, or tenant using …
Read more “Part 2: Amazon Bedrock cost attribution with Amazon Athena and CUDOS”
It’s been a century since the Iberian Peninsula has been in the full shadow of the moon. Here’s what it looked like in the path of totality.
Artificial intelligence is proving to be transformative in its ability to work with language and images. Now, with a growing push to apply AI to scientific discovery, Caltech’s Anima Anandkumar says there is a crucial ingredient missing from most AI models: the ability to understand the physical world. Take, for example, weather models, says Anandkumar, …
Read more “Extending AI architectures to address continuous scientific problems”
In this article, you will learn seven async patterns for running AI agents concurrently in Python, what each pattern is suited for, and the production-level…
Cyber defenders have never had more capability at their fingertips, and they have never needed it more. Frontier models can now reason across an entire code base, trace a vulnerability to its root cause, and propose a fix in minutes. Those same capabilities are available to adversaries. This is why the window between a vulnerability …
For organizations deploying AI agents at scale, there’s often a critical divide between structured and unstructured data. While large language models (LLMs) excel at parsing text documents, emails, and PDFs, they can struggle when presented with raw enterprise databases. Meanwhile, standard natural-language-to-SQL (NL2SQL) models often guess how database schemas fit together, which can lead to …
Read more “Looker’s semantic layer governs Gemini Enterprise data for user trust”
“That product is off the market, so I think there’s absolutely lower risk for cyclospora in terms of eating lettuce,” one professor of food safety tells WIRED.
The trail of likes, shares and downloads we leave across the internet could help predict successful innovations years in advance, Cornell researchers showed by curating two datasets that allowed them to compare early engagement with future impact.
In this article, you will learn how prompt caching and fine-tuning differ as strategies for reducing cost and latency in agentic AI systems, and how…