IEEE

Adaptive Detection Algorithms for Multiple Targets Combining Latent Variable Models and Sparsity

Abstract: This article considers the challenge of detecting multiple targets in a radar scenario, where several point-like targets with distinct angles of arrival (AoAs) coexist within the same range ...

Science reveals people are capable of multitasking — it just requires practice

An experiment carried out by Riesenhuber and colleagues has revealed that the brain has a workaround that can be activated ...
InfoQ

Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...
InfoQ

The Schema Proliferation Problem in Kafka and Flink Pipelines: How to Solve It

Schema proliferation builds slowly and gets expensive fast. One schema per event type feels right until there are ten tables, union queries spanning all of them, and a single field rename touching ...
IEEE

Cluster Sort: A Novel Hybrid Approach to Efficient In-Place Sorting Using Data Clustering

Abstract: This research work introduces a clustering-based in-place sorting algorithm, cluster sort. It is designed in such a way that it improves sorting efficiency by using data locality. It works ...
NPR

She spent a year using AI to do almost everything. Here's what she learned

Embed <iframe src="https://www.npr.org/player/embed/nx-s1-5816163/nx-s1-9766928" width="100%" height="290" frameborder="0" scrolling="no" title="NPR embedded audio ...