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 Next Web

Patronus AI raises $50M to stress-test AI agents

Patronus AI raised $50m to build simulated digital worlds that stress-test AI agents before they reach production. Investors call demand insatiable.
techtimes

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
TMCnet

Applause and Progress Software Enable Accessible Collaboration for ShareFile Users Worldwide

Applause, the global leader in managed software testing services and digital quality, today announced it has helped Progress Software reduce accessibility issues in its Progress ® ShareFile ® client ...
IEEE

A Coverage-Guided Fuzzing Method for Automatic Software Vulnerability Detection Using Reinforcement Learning-Enabled Multi-Level Input Mutation

Abstract: Fuzzing is a popular and effective software testing technique that automatically generates or modifies inputs to test the stability and vulnerabilities of a software system, which has been ...
IEEE

Deep Learning Based Over-the-Air Channel Estimation Using a ZYNQ SDR Platform

Abstract: Deep learning based channel estimation techniques have recently found an overwhelming interest owing to data-driven learning-based adaptability compared to conventional estimation techniques ...