Google released the Genkit Agents API in preview for TypeScript and Go. The open-source framework packages message history, ...

DevOps & Cloud Solutions Architect skilled in AWS, Azure, GCP, CI/CD, multi-cloud strategy, and scalable infrastructure. Let me tell you something that every professional engineer knows, but nobody ...

The modern AI engineering landscape is experiencing severe API fatigue. The prevailing trend in multi-agent orchestration leans heavily on massive cloud dependencies, centralized vector databases, and ...

As the COOs from both Uber and Microsoft recently learned, encouraging company engineers to use AI aggressively can lead to hefty usage bills, perhaps even offsetting all the gains from laying off ...

PyXHDL born for developers who are not really in love with any of the HDL languages and instead appreciate the simplicity and flexibility of using Python for their workflows. PyXHDL allows to write ...

Writing fast GPU code is one of the most grueling specializations in machine learning engineering. Researchers from RightNow AI want to automate it entirely. The RightNow AI research team has released ...

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge ...

Syntax check is performed before script execution to ensure correctness. Supports nested loops for advanced automation routines. Supports iteration over lists. Nested loops are allowed, and for loops ...

The threat actor behind the malware-as-a-service (MaaS) framework and loader called CastleLoader has also developed a remote access trojan known as CastleRAT. "Available in both Python and C variants, ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...