Jabez Eliezer Manuel, Senior Principal Engineer at Booking.com, presented “Behind Booking.com's AI Evolution: The Unpolished ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Abstract: This study proposes the evaluation of different EEG signal processing and classification methods for the design of an asynchronous BMI applied to the control of an exoskeleton. For this ...

So for reasons of concurrency I rely on the async execute of the python backend. I read through all of your examples and while my solution works, I wonder what the "correct" way to do this is? I ...

Python 3.14 was the star of the show in 2025, bringing official support for free-threaded builds, a new all-in-one installation manager for Windows, and subtler perks like the new template strings ...

Frequent false‐positive stroke alerts can strain health resources. Machine learning models can predict stroke alert accuracy and potentially reduce this strain, but these models require time‐consuming ...

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting radiology reports, including volumetric assessments, are conventionally stored ...

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 ...

Abstract: We present TURBOBATCH, an asynchronous batch processing system enabling large-scale LLM inference under strict API rate limits. Existing approaches to LLM workloads require manual tuning and ...