Noel Sharkey Technology, AI and robotics editor Scince.Report

Noel Sharkey, Technology, AI and Robotics Editor at Science Report.

Noel Sharkey

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Editor

Technology, AI and robotics editor

Noel Sharkey is a technology editor covering artificial intelligence, robotics, autonomous systems and the rules governing their use. He focuses on separating real technical capability from marketing claims while examining safety, accountability and the consequences of deploying automated systems in high-risk settings.

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Education

The University of Edinburgh
 Noel Sharkey studied computing and intelligent systems at the University of Edinburgh, where he developed an interest in how software, machines and human decision-making intersect. He later worked with a university robotics laboratory, a technology newsroom and a nonprofit policy project examining the public consequences of automated systems. At Science Report, he covers artificial intelligence, machine learning, robotics, autonomous vehicles and drones, human-robot interaction, AI safety and the regulation of dual-use technologies. His editorial approach separates technical capability from marketing claims and asks who controls a system, how it can fail and what evidence supports claims about safety. He gives particular attention to surveillance, military and policing applications, accountability and the safeguards needed before high-risk systems are deployed. 

Topics

  • Artificial Intelligence The development and use of computer systems capable of performing tasks associated with learning, reasoning, prediction and decision-making.
  • Robotics The interdisciplinary design, construction, control and practical use of robots and automated machines.
  • AI Safety The study of technical, operational and governance measures intended to reduce accidents, misuse and harmful consequences from AI systems.

Latest articles by Noel Sharkey

Student-Led Robotics: Botball's Approach to Autonomous STEM Education Scince.Report
Social Determinants of Health

Student-Led Robotics: Botball's Approach to Autonomous STEM Education

Botball introduces standardized robotics kits and text-based coding to classrooms, requiring students to design, build, and program fully autonomous robots without adult intervention. The program's structure aims to equalize access and foster technical skills.

World Models Aim to Simulate Reality but Face Technical Barriers Scince.Report
Research Updates

World Models Aim to Simulate Reality but Face Technical Barriers

Researchers are developing world models-AI systems designed to simulate aspects of the physical world. These models promise new capabilities beyond language, but their accuracy and reliability remain unsettled

NVIDIA's RoboLab Targets Real-World Robot Policy Evaluation Limits Scince.Report
Research Updates

NVIDIA's RoboLab Targets Real-World Robot Policy Evaluation Limits

NVIDIA has released RoboLab, an open-source simulation platform designed to benchmark and analyze general-purpose robot policies. The system aims to address persistent gaps in evaluating robotic models before real-world deployment

Why Power Management Limits Humanoid Robot Performance Scince.Report
Technology & AI

Why Power Management Limits Humanoid Robot Performance

Engineers developing humanoid robots face persistent challenges in converting and distributing onboard battery power to support motion, sensing, and computation. The efficiency and reliability of these power systems directly affect robot capabilities and safety

Noel Sharkey Technology, AI and robotics editor Scince.Report

Noel Sharkey, Technology, AI and Robotics Editor at Science Report.

Noel Sharkey

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