Abstract: Affective brain–computer interfaces (aBCIs) are an emerging technology that decodes brain signals—primarily electroencephalography (EEG)—to monitor and regulate emotional states in real time ...

Afghanistan’s break with Pakistan has created a strategic window for India. Afghanistan’s trade and diplomacy are shifting in unexpected ways that reflect broader regional realignments. Four years ...

Model Context Protocol (MCP) servers, which are the glue that links AI agents with other enterprise systems, continue to pop up as potential chinks in the proverbial organizational armor. This week, ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

EduLite currently runs on a traditional WSGI (Web Server Gateway Interface) server configuration that only supports synchronous HTTP request-response communication. This architecture cannot handle ...

A new technical paper titled “Modeling Chiplet-to-Chiplet (C2C) Communication for Chiplet-based Co-Design” was published by researchers at Peter Grünberg Institute and Jülich Supercomputing Centre.

Confused about Kubernetes Ingress vs the new Gateway API? In this beginner-friendly tutorial, we break down both approaches and show you how to get started with Gateway API step-by-step. Perfect for ...

We’ve just received a review sample of the ZimaBoard 2 micro server and mini PC powered by an Intel Processor N150 “Twin Lake” CPU. The system features two 2.5 Gbps Ethernet ports, two SATA III ports, ...

Reliable evaluation of large language model (LLM) outputs is a critical yet often complex aspect of AI system development. Integrating consistent and objective evaluation pipelines into existing ...