The Robot Report

We know how to build smarter robots. Now, we need to learn smarter ways to test them

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that scales alongside autonomy.
The Lancet

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre ...

aInstitute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China ...
IEEE

An Experimental Validation of Nonlinear Extended State Observer Controlled Small Hydro-PV Array and Battery Storage-Based Microgrid for Remote Areas

Abstract: This paper presents a hybrid microgrid system designed for rural areas, integrating small hydro and photovoltaic (PV) arrays with battery storage to ensure uninterrupted power supply to ...
IEEE

A Machine-Learning-Assisted Antenna Array Isolation Optimization Method Using Intelligent Surfaces for Bistatic In-Band Full-Duplex Communication Systems

Abstract: In this article, a machine-learning-assisted antenna array isolation optimization method for bistatic in-band full-duplex (IBFD) communication systems based on a novel intelligent surface ...
businesstech.co.za

Why companies must use AI and human validation to stay efficient and safe

Wolfpack, in partnership with Synack, is hosting a webinar that explores how your business can leverage AI and human-led offensive testing to keep pace with modern adversaries. The Webinar, titled AI ...