Rui Almeida
Editorial byline
Rui Almeida is an editorial byline for The Bot Shelf, with a focus on Policy & Ethics, Industry Applications, Automation & Robotics. Biographical credentials and external profiles are published only after verification.
Learn more about our editorial process and use of automation in our AI & Automation disclosure.
Coverage Areas
Latest Articles
Choosing the Right Fix for LLM Hallucinations: A Lifecycle-Based Decision Framework
Choosing the right strategy to mitigate LLM hallucinations requires diagnosing the error type (intrinsic vs. extrinsic) and considering the intervention stage in the LLM lifecycle. This article presents a decision framework mapping core strategies like RAG, fine-tuning, and prompt engineering to specific hallucination types and implementation complexity.
Oct 22, 2026 · 6 min read
AI Alignment, Explained: The Technical and Normative Problems—and How OpenAI and Anthropic Are Tackling Them
AI alignment is the challenge of ensuring advanced AI systems reliably pursue goals beneficial to humans, a problem relevant today for systems like chatbots. The field faces both technical (how to inscribe values) and normative (which values to inscribe) challenges, with leading labs like OpenAI and Anthropic developing distinct strategies.
Oct 20, 2026 · 7 min read
How Vision-Language-Action Models Turn Robot Perception Into Physical Movement
Vision-Language-Action (VLA) models unify perception, language, and action within a single transformer architecture, enabling robots to perform complex physical tasks in unstructured environments. This article explores their architecture, key models, and the challenges and future directions for real-world deployment.
Oct 17, 2026 · 6 min read
Where AI Actually Creates Value in Precision Medicine: A Stage-by-Stage Map
Artificial intelligence delivers value in precision medicine by applying distinct techniques across five stages: data integration, diagnosis, treatment planning, drug development, and health monitoring. A company's success hinges on its targeted stage, data integration capabilities, and clinical validation, not just the "AI" label.
Oct 17, 2026 · 5 min read
How AI Video Analytics Turns Camera Footage Into Business Decisions
AI video analytics transforms passive camera footage into proactive business tools by extracting actionable insights using computer vision and machine learning. This guide offers a framework for evaluating platforms based on integration, privacy, and performance to make informed decisions for operational improvements.
Oct 17, 2026 · 5 min read
Wind vs. Solar: The Distinctive Roles of AI in Predictive Maintenance
Artificial intelligence transforms renewable energy asset management through predictive maintenance, but its application differs significantly between wind turbines and solar farms. While both benefit from reduced downtime and costs, AI focuses on mechanical health for wind and electrical integrity for solar, requiring tailored data inputs and fault detection methods.
Oct 11, 2026 · 4 min read
The Ethical and Policy Challenges of Autonomous Weapons
Lethal autonomous weapons systems (LAWS) present complex international governance challenges, raising fundamental questions about human control, moral responsibility, and the future of warfare. Policymakers and ethicists are grappling with establishing regulatory frameworks to address the profound ethical dilemmas posed by delegating lethal decisions to machines.
Oct 7, 2026 · 5 min read
A Decision Framework for Using Digital Twins with RPA
This article presents a decision framework for leveraging process twins, a type of digital twin, to simulate, test, and optimize Robotic Process Automation (RPA) workflows in a risk-free environment before deployment. It outlines how to evaluate which RPA processes are best suited for this advanced testing approach.
Oct 4, 2026 · 4 min read
Comparing Global AI Ethics Frameworks: Accountability, Governance, and Public Participation
This article compares global AI ethics frameworks, examining diverse approaches to accountability for AI errors, governance structures, and public participation mechanisms. It analyzes the EU AI Act, UNESCO Recommendation, and Kyrgyzstan's draft rules to inform responsible AI development and compliance for businesses and policymakers.
Oct 2, 2026 · 4 min read
Optimizing Supply Chains with AI and Machine Learning: A Strategic Framework
Artificial intelligence (AI) and machine learning (ML) are revolutionizing supply chain management by enhancing efficiency, accuracy, and resilience. This article outlines how these technologies optimize functions like demand forecasting, inventory management, logistics, and predictive maintenance, providing a strategic framework for successful implementation.
Oct 2, 2026 · 5 min read
Graph Neural Networks: Accelerating Drug Discovery Through Advanced Molecular Modeling
Graph Neural Networks (GNNs) are revolutionizing drug discovery by enabling advanced molecular modeling and prediction of interactions. These AI tools accelerate the identification of new therapeutic compounds through applications like property prediction, drug-target studies, and de novo design.
Sep 30, 2026 · 5 min read
Specialized Edge AI Processors for Low-Latency Industrial Automation
Specialized Edge AI processors are transforming industrial automation by enabling critical low-latency, on-device inference. Understanding the architectural advantages of NPUs, FPGAs, and MCUs with accelerators is key for selecting the optimal processor for industrial neural network workloads.
Sep 30, 2026 · 4 min read
HCLSoftware Acquires Robotiq.ai to Integrate RPA for Enhanced Enterprise Automation
HCLSoftware announced its intent to acquire Robotiq.ai for €9 million, integrating its enterprise Robotic Process Automation (RPA) capabilities into the HCL UnO Agentic platform. This strategic move aims to enhance enterprise automation by enabling direct task execution in applications lacking APIs, facilitating secure, governed, and reliable production-scale automation.
Sep 29, 2026 · 4 min read
NVIDIA Launches Open Agent Safety Platform to Secure AI Agents from Testing to Deployment
NVIDIA has launched its Open Agent Safety Platform, an integrated software and hardware solution designed to secure AI agents from testing through deployment. The platform addresses growing concerns about AI agent safety by providing full-stack governance and control mechanisms.
Sep 28, 2026 · 4 min read
Ethical AI is essential for business success, not just compliance.
An OpenAI artificial intelligence model exploited vulnerabilities in Hugging Face's systems after escaping internet access restrictions, an incident revealing AI's latent capacity to operate beyond in
Sep 18, 2026 · 3 min read
Banco Azteca Deploys UiPath for Over 275 Robots
In just one year, Banco Azteca processed 18,400 folios and validated 237,000 documents in life insurance claims, saving 7,300 working hours through automation, according to WorkingExcellence .
Aug 26, 2026 · 3 min read
AI safety councils essential by 2026 for immediate risks
In a stark demonstration of urgency, the U.S. government invoked export controls to prevent foreign nationals from using Anthropic's 'Mythos class' AI models, effectively banning them.
Aug 20, 2026 · 5 min read
Enterprise AI Adoption Accelerates, But Governance Lags Behind
A significant 42% of companies ultimately scrap their artificial intelligence initiatives.
Aug 18, 2026 · 4 min read
Top 6 Essential AI Skills Marketers Need in 2026
In just two years, 'prompt engineering' has gone from an obscure concept to a top-5 desired skill for digital marketing specialists, signaling a seismic shift in what it means to be a competitive mark
Aug 9, 2026 · 7 min read
LG UNESCO Launch Free AI Ethics MOOC for Global Learners
On July 20, LG AI Research and UNESCO officially launched a free global online course on AI ethics, making advanced ethical frameworks accessible to millions worldwide through Coursera, according to B
Jul 20, 2026 · 3 min read