Among the many predictions about the future of artificial intelligence is that models will one day be able to conduct scientific research on their own, leaving humans out of the equation. Already, they can write code, run experiments and search scientific literature, but carrying out open-ended research would require a significant leap in ability.
When enterprises transition from using simple chat assistants to autonomous, agentic workloads, they quickly run into a hard truth: Agents are prone to inaccurate insights when working with directly raw tables. BigQuery Graph helps organizations move beyond flat, static tables to represent enterprises exactly how they exist in the physical world: as interconnected business entities …
Read more “Using BigQuery Graphs with measures for trusted agentic workloads”
OpenAI’s rogue agent hack was a watershed moment for AI safety and cybersecurity. It also sparked internal questions about the culture that led to it.
In this article, you will learn the conceptual and practical differences between retrieval and memory in agentic AI systems, and how to combine both effectively….
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 …